CN115459309A - Efficiency evaluation method and device for energy storage system participating in multi-link regulation and control of power grid - Google Patents
Efficiency evaluation method and device for energy storage system participating in multi-link regulation and control of power grid Download PDFInfo
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Abstract
The invention provides a method and a device for evaluating the efficiency of an energy storage system participating in multi-link regulation and control of a power grid, wherein the method comprises the following steps: when the energy-saving energy storage system is monitored to finish executing the current regulation and control instruction, performing state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system to obtain current energy storage parameters of the energy-saving energy storage system; the current regulation and control instruction comprises one or more of a peak regulation instruction, a frequency modulation instruction, a pressure regulation instruction and an accident emergency support instruction; based on the current regulation and control instruction and the current energy storage parameter, performing data analysis on the energy-saving energy storage system to obtain a current evaluation coefficient; and performing efficiency evaluation on the energy-saving energy storage system according to the current evaluation coefficient to obtain a current efficiency evaluation result. The invention can obviously improve the accuracy of the efficiency evaluation result.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for evaluating the efficiency of an energy storage system participating in multi-link regulation and control of a power grid.
Background
The energy storage is one of key supporting technologies of a future high-proportion renewable energy system, and a scientific evaluation method is an important basis for measuring the value of the system. The related art provides an evaluation method for an energy storage system to analyze the value composition of the energy storage system in an electric power system, but the method cannot accurately evaluate the efficiency of the energy storage system, so that the evaluation accuracy of the system efficiency is low.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for evaluating performance of an energy storage system participating in multi-link regulation of a power grid, which can significantly improve accuracy of a performance evaluation result.
In a first aspect, an embodiment of the present invention provides an efficiency evaluation method for an energy storage system to participate in multi-link regulation and control of a power grid, including: when the energy-saving energy storage system is monitored to finish executing the current regulation and control instruction, performing state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system to obtain current energy storage parameters of the energy-saving energy storage system; the current regulation and control instruction comprises one or more of a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an accident emergency support instruction; based on the current regulation and control instruction and the current energy storage parameter, performing data analysis on the energy-saving energy storage system to obtain a current evaluation coefficient; wherein the current evaluation coefficient comprises one or more of an effect evaluation coefficient, a benefit analysis coefficient and a potential quantification coefficient; and performing efficiency evaluation on the energy-saving and energy-storing system according to the current evaluation coefficient to obtain a current efficiency evaluation result.
In one embodiment, before the step when the energy-saving energy storage system is monitored to finish executing the current regulation instruction, the method further comprises the following steps: acquiring a historical evaluation coefficient and a historical efficiency evaluation result; the historical evaluation coefficient is obtained by performing data analysis on the energy-saving and energy-storing system when the execution of a previous regulation and control instruction corresponding to a current regulation and control instruction is finished, and the historical efficiency evaluation result is obtained by performing efficiency evaluation on the energy-saving and energy-storing system based on the historical evaluation coefficient when the execution of the previous regulation and control instruction is finished; determining a current regulation and control instruction to be executed from candidate regulation and control instructions according to the historical evaluation coefficient and the historical efficiency evaluation result; and controlling the energy-saving and energy-storing system to execute the current regulation and control instruction.
In one embodiment, the current energy storage parameter includes system data, the system data includes an electric quantity value deviation, the electric quantity value deviation is a reduction value of a target value and an actual regulation value carried by the current regulation instruction, and the electric quantity value deviation includes a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation; the step of performing data analysis on the energy-saving energy storage system based on the current regulation and control instruction and the current energy storage parameter to obtain a current evaluation coefficient includes: determining a peak shaver effectiveness coefficient based on the power deviation and the energy deviation if the current evaluation coefficient comprises the effectiveness evaluation coefficient; and determining a fm effectiveness coefficient based on the frequency deviation and the energy deviation; and determining a voltage regulation effectiveness coefficient based on the voltage deviation and the energy deviation; and determining a support effectiveness coefficient based on the second-level apparent power deviation; determining a first weight coefficient according to the current regulation and control instruction; and weighting the peak regulation effect coefficient, the frequency modulation effect coefficient, the pressure regulation effect coefficient and the support effect coefficient according to the first weight coefficient to obtain an effect evaluation coefficient.
In one embodiment, the current energy storage parameter includes system data, the system data includes an electric quantity value deviation, the electric quantity value deviation is a reduction value of a target value and an actual regulation value carried by the current regulation and control instruction, and the electric quantity value deviation includes a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation; the step of performing data analysis on the energy-saving energy storage system to obtain a current evaluation coefficient based on the current regulation and control instruction and the current energy storage parameter includes: if the current evaluation coefficient comprises a benefit analysis coefficient, determining a peak regulation benefit coefficient, a frequency modulation benefit coefficient, a voltage regulation benefit coefficient and an emergency support benefit coefficient based on a pre-configured benefit parameter and the electric quantity value deviation; wherein the benefit parameters comprise an economic coefficient, a penalty coefficient and a cost coefficient; determining a second weight coefficient according to the current regulation and control instruction; and weighting the peak-load regulation benefit coefficient, the frequency modulation benefit coefficient, the voltage regulation benefit coefficient and the emergency support benefit coefficient according to the second weight coefficient to obtain a benefit analysis coefficient. Wherein the actual regulation value comprises a regulated power value; determining a peak shaving benefit coefficient based on a pre-configured benefit parameter and the electric quantity value deviation, wherein the peak shaving benefit coefficient comprises the following steps: for each operation time period in the operation duration corresponding to the energy-saving and energy-storing system, calculating the product of the economic coefficient and the regulated power value corresponding to the operation time period to obtain peak regulation income, calculating the product of the penalty coefficient and the power deviation corresponding to the operation time period to obtain peak regulation deviation penalty, and calculating the product of the cost coefficient and the regulated power value corresponding to the operation time period to obtain peak regulation operation and maintenance cost; calculating the difference between the peak regulation income, the peak regulation deviation punishment and the peak regulation operation and maintenance cost to obtain a peak regulation benefit sub-coefficient corresponding to the operation time period; and summing the peak shaving benefit subsystems corresponding to each operation time period to obtain a peak shaving benefit coefficient.
In one embodiment, the current energy storage parameters include a system state and a system parameter, the system state includes an energy storage state of charge, and the system parameter includes a maximum energy storage, a maximum energy storage duration, a charge-discharge efficiency, an equipment utilization rate, an energy storage recovery investment duration, and an average buffer duration for scheduling the stored electric quantity in the operation process of the energy-saving energy storage system; the step of performing data analysis on the energy-saving energy storage system based on the current regulation and control instruction and the current energy storage parameter to obtain a current evaluation coefficient includes: updating the energy storage charge state according to the maximum energy storage time length, the charge-discharge efficiency, the equipment utilization rate, the energy storage recovery investment time length and the average buffer time length; and determining a potential quantization coefficient according to the updated energy storage charge state and the maximum energy storage.
In one embodiment, the step of evaluating the performance of the energy-saving and energy-storing system according to the current evaluation coefficient to obtain a current performance evaluation result includes: and inputting the effect evaluation coefficient, the benefit analysis coefficient and the potential quantization coefficient into a pre-constructed efficiency evaluation model, and outputting a current efficiency evaluation result through the efficiency evaluation model.
In a second aspect, an embodiment of the present invention further provides an efficiency evaluation device for an energy storage system to participate in multi-link regulation and control of a power grid, including: the parameter acquisition module is used for performing state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system when the energy-saving energy storage system is monitored to finish executing the current regulation and control instruction, so as to obtain the current energy storage parameters of the energy-saving energy storage system; the current regulation and control instruction comprises one or more of a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an accident emergency support instruction; the data analysis module is used for carrying out data analysis on the energy-saving and energy-storing system based on the current regulation and control instruction and the current energy-storing parameter to obtain a current evaluation coefficient; wherein the current evaluation coefficient comprises one or more of an effect evaluation coefficient, a benefit analysis coefficient and a potential quantification coefficient; and the efficiency evaluation module is used for carrying out efficiency evaluation on the energy-saving energy storage system according to the current evaluation coefficient to obtain a current efficiency evaluation result.
In a third aspect, an embodiment of the present invention further provides a server, including a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement any one of the methods provided in the first aspect.
According to the efficiency evaluation method and device for the energy storage system to participate in multi-link regulation and control of the power grid, when it is monitored that the energy storage system executes a current regulation and control instruction (comprising one or more of a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an emergency support instruction), state monitoring processing, parameter acquisition processing and data acquisition processing are carried out on the energy storage system to obtain current energy storage parameters of the energy storage system, then data analysis is carried out on the energy storage system based on the current regulation and control instruction and the current energy storage parameters to obtain current evaluation coefficients (comprising one or more of an effect evaluation coefficient, a benefit analysis coefficient and a potential quantization coefficient), and finally, efficiency evaluation is carried out on the energy storage system according to the current evaluation coefficients to obtain a current efficiency evaluation result. According to the method, the current energy storage parameter when the current regulation and control instruction is executed is subjected to data analysis, so that a current evaluation coefficient capable of representing the influence of the current regulation and control instruction on the energy-saving and energy-storing system is obtained, the efficiency of the energy-saving and energy-storing system is accurately evaluated on the basis of the current evaluation coefficient, and an efficiency evaluation result with high accuracy is obtained.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of an efficiency evaluation method for an energy storage system participating in multi-link regulation of a power grid according to an embodiment of the present invention;
FIG. 2 is an interaction diagram of a performance evaluation system according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of another efficiency evaluation method for an energy storage system participating in multi-link regulation of a power grid according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an efficiency evaluation device for an energy storage system to participate in multi-link regulation of a power grid according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, the existing energy storage system evaluation method can only be used for analyzing the value composition of an energy storage system in a power system, such as direct value and indirect value, and specifically, the value characteristics of the energy storage system need to be analyzed according to a synergistic effect matrix of multiple applications of energy storage, so that the multiple application values of energy storage are comprehensively evaluated and stored. However, the efficiency evaluation accuracy of the energy storage system evaluation method is compromised, and the operating qualification rate of the energy storage system and the accuracy of the efficiency evaluation result cannot be better considered. Therefore, the invention provides the efficiency evaluation method and device for the energy storage system to participate in the multi-link regulation and control of the power grid, and the accuracy of the efficiency evaluation result can be obviously improved.
To facilitate understanding of the embodiment, first, a detailed description is given to the method for evaluating the efficiency of an energy storage system participating in multi-link regulation of a power grid, which is disclosed in the embodiment of the present invention, referring to a schematic flow chart of the method for evaluating the efficiency of an energy storage system participating in multi-link regulation of a power grid shown in fig. 1, where the method mainly includes the following steps S102 to S106:
and S102, when the energy-saving energy storage system is monitored to finish executing the current regulation and control instruction, performing state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system to obtain the current energy storage parameters of the energy-saving energy storage system. The current regulation and control instruction comprises one or more Of a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an emergency support instruction Of an accident, the current parameters can comprise a system State, system parameters and system data, the system State is obtained by monitoring and processing the State Of the energy-saving energy storage system, the parameter acquisition processing is obtained by acquiring the parameters Of the energy-saving energy storage system, and the system data is obtained by acquiring data Of the energy-saving energy storage system. In one embodiment, the selection of the current regulation and control instruction can be guided based on the historical evaluation coefficient and the historical performance evaluation result, the energy-saving energy storage system is controlled to execute the current regulation and control instruction, and when the execution of the current regulation and control instruction is monitored to be finished, the state monitoring processing, the parameter obtaining processing and the data acquisition processing can be directly carried out on the energy-saving energy storage system to obtain the current energy storage parameter.
And step S104, performing data analysis on the energy-saving and energy-storing system to obtain a current evaluation coefficient based on the current regulation and control instruction and the current energy-storing parameter. Wherein the current evaluation coefficient comprises an effect evaluation coefficient, a benefit analysis coefficient and a potential quantization coefficient. In an embodiment, a weight coefficient required for data analysis may be determined according to a current regulation instruction, so that the regulation and control effect, the regulation and control benefit, and the regulation and control potential of the energy-saving and energy-storing system are respectively analyzed based on the weight coefficient and the current energy-storing parameter, so as to obtain a corresponding effect evaluation coefficient, a benefit analysis coefficient, and a potential quantization coefficient.
And S106, performing efficiency evaluation on the energy-saving and energy-storing system according to the current evaluation coefficient to obtain a current efficiency evaluation result. In an embodiment, a performance evaluation model may be pre-constructed, and the effect evaluation coefficient, the benefit analysis coefficient, and the potential quantization coefficient are input to the performance evaluation model, and the performance evaluation model may output a corresponding current performance evaluation result.
According to the efficiency evaluation method for the energy storage system to participate in multi-link regulation and control of the power grid, provided by the embodiment of the invention, the current energy storage parameter when the current regulation and control instruction is executed is subjected to data analysis, so that a current evaluation coefficient capable of representing the influence of the current regulation and control instruction on the energy storage system is obtained, the efficiency of the energy storage system is accurately evaluated on the basis of the current evaluation coefficient, and further an efficiency evaluation result with higher accuracy is obtained.
Before executing the foregoing step S102, the selection of the current regulation instruction may be guided according to the historical evaluation coefficient and the historical performance evaluation result. For exemplary purposes, see steps 1 through 3 below:
step 1, obtaining a historical evaluation coefficient and a historical efficiency evaluation result. The historical evaluation coefficient is obtained by performing data analysis on the energy-saving and energy-storing system when the execution of a previous regulation and control instruction corresponding to a current regulation and control instruction is finished, the historical efficiency evaluation result is obtained by performing efficiency evaluation on the energy-saving and energy-storing system based on the historical evaluation coefficient when the execution of the previous regulation and control instruction is finished, and the historical evaluation coefficient comprises a historical effect evaluation coefficient, a historical benefit analysis coefficient and a historical potential quantization coefficient. In a specific implementation, the determination process of the historical evaluation coefficient and the historical performance evaluation result may refer to the determination process of the current evaluation coefficient and the current performance evaluation result, which is not described in detail herein in the embodiments of the present invention.
And 2, determining the current regulation and control instruction to be executed from the candidate regulation and control instructions according to the historical evaluation coefficient and the historical efficiency evaluation result. In an embodiment, a threshold corresponding to the historical evaluation coefficient and a threshold corresponding to the historical performance evaluation result may be preconfigured, and the current regulation instruction to be executed is determined based on a comparison result of each historical evaluation coefficient and the threshold thereof and a comparison result of the historical performance evaluation result and the threshold thereof. In another embodiment, the history evaluation coefficient and the history efficiency evaluation result may also be sent to a designated associated terminal, so that the designated associated terminal displays the history evaluation coefficient and the history efficiency evaluation result, and displays a virtual control corresponding to the candidate regulation and control instruction, and the designated terminal device may respond to a selection operation for the virtual control, so as to use the candidate regulation and control instruction corresponding to the selected virtual control as the current regulation and control instruction.
Illustratively, an effect threshold, a benefit threshold, a potential quantization threshold and an effectiveness threshold are configured in advance, and if the historical effect evaluation coefficient is greater than the effect threshold, the historical benefit analysis coefficient is greater than the benefit threshold, the historical potential quantization coefficient is greater than the potential quantization threshold, and the historical effectiveness evaluation result is greater than the effectiveness threshold, the energy storage system is determined to be qualified in operation; if the historical effect evaluation coefficient is smaller than the effect threshold, or the historical benefit analysis coefficient is smaller than the benefit threshold, or the historical potential quantization coefficient is smaller than the potential quantization threshold, or the historical effectiveness evaluation result is smaller than the effectiveness threshold, it is determined that the energy storage system is unqualified to operate, and at this time, one or more current regulation and control instructions can be determined from the candidate regulation and control instructions according to the foregoing embodiment. For example, the candidate regulation and control instructions comprise a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an accident emergency support instruction, and the peak regulation instruction is determined to be the current regulation and control instruction.
And 3, controlling the energy-saving and energy-storing system to execute the current regulation and control instruction.
In an embodiment, the performance evaluation method for the energy storage system to participate in the multi-link regulation of the power grid may be performed by a performance evaluation system, where the performance evaluation system includes a server, an effect analysis unit, a benefit analysis unit, and a potential quantization unit, and the server is in communication connection with the effect analysis unit, the benefit analysis unit, and the potential quantization unit, respectively. Fig. 2 shows that the server sends an effect analysis signal to the effect analysis unit, the effect analysis unit collects an electric quantity value deviation of the energy-saving and energy-storing system, determines an effect evaluation coefficient based on the electric quantity value deviation, and feeds back the effect evaluation coefficient and an evaluation feedback signal to the server, the evaluation feedback signal is used for representing whether a result of the effect evaluation is qualified, and for example, when the effect evaluation coefficient is greater than an effect threshold, the result is determined to be qualified; fig. 2 further illustrates that the server may further send a benefit analysis signal to the benefit analysis unit, where the benefit analysis unit acquires a loss parameter of the energy-saving and energy-storing system, determines a benefit analysis coefficient based on the loss parameter, and feeds back the benefit analysis coefficient and an analysis feedback signal to the server, where the analysis feedback signal is used to indicate whether a result of the benefit analysis is qualified; fig. 2 further illustrates that the server may further send a potential quantization signal to the potential quantization unit, the potential quantization unit determines a potential quantization coefficient based on the energy storage state of charge, the maximum energy storage, the minimum energy storage, and the state influence parameter of the energy-saving energy storage system, and feeds back the potential quantization coefficient and a quantization feedback signal to the server, where the quantization feedback signal is used to characterize whether the result of the potential quantization is qualified; and the server analyzes the current efficiency evaluation result of the energy-saving and energy-storing system based on the effect evaluation coefficient, the benefit analysis coefficient and the potential quantization coefficient.
Based on this, the embodiment of the present invention provides an implementation manner for performing state monitoring processing, parameter acquisition processing, and data acquisition processing on an energy-saving and energy-storing system to obtain current energy-storing parameters of the energy-saving and energy-storing system, and specifically: performing state monitoring processing on the energy-saving and energy-storing system to obtain a system state, wherein the system state comprises an SOC (state of charge) state and the remaining service life; the method comprises the steps of obtaining and processing parameters of an energy-saving energy storage system to obtain system parameters, wherein the system parameters comprise the maximum energy storage capacity, the maximum energy storage time, the charge-discharge efficiency, the rated power, the rated energy, the climbing rate, the equipment utilization rate, the energy storage recovery investment time and the average buffer time for scheduling the stored electric quantity in the running process of the energy-saving energy storage system; and acquiring and processing data of the energy-saving and energy-storing system to obtain system data, wherein the system data comprises electric quantity value deviation, energy-storing historical charging and discharging data, electricity price of each time period, subsidy price of each time period when energy storage participates in multi-link regulation and control of the power grid, peak regulation, frequency modulation, pressure regulation and emergency support instructions of each time period.
On the basis of the foregoing embodiments, embodiments of the present invention provide embodiments for determining an effect evaluation coefficient, a benefit analysis coefficient, and a potential quantization coefficient, respectively, see (a) to (b) below:
and (one) aiming at the effect evaluation coefficient, the effect evaluation coefficient can be determined based on the electric quantity value deviation. The electric quantity value deviation is a reduced value of a target value carried by a current regulation and control instruction and an actual regulation and control value (namely a regulated and controlled parameter value), the electric quantity value deviation comprises a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation, and the power deviation is a target power value delta P carried by an actual regulation and control power value delta P and a peak regulation instruction 0 For example, the target power value is 1MW, the energy-saving energy storage system discharges only 0.9MW, that is, the actual regulated power value is 0.9MW, and the power deviation is 10%; similarly, the energy deviation is a reduction value of the actual regulation energy value and the target energy value, for example, the peak regulation instruction allows the energy-saving energy storage system to discharge 1MW for 2 hours and totally 2MWh, while the energy-saving energy storage system actually responds to 0.9MW for 1 hour and totally 0.9MWh, and the energy deviation at this time is 55%; similarly, the frequency deviation is the actual regulating frequency value Δ f and the target frequency value Δ f carried by the frequency modulation command 0 The reduced value, voltage deviation, i.e. the actual regulated voltage value Δ V and the target voltage value Δ V carried by the voltage regulation command 0 The reduction value of the second level apparent power deviation is also the second level apparent power value delta S of the actual regulation and control and the second level apparent power value delta S carried by the emergency support command 0 The reduction value of (c).
On this basis, the embodiment of the present invention provides an implementation manner of determining an effect evaluation coefficient, which is described in the following steps a1 to a6:
step a1, determining a peak shaving effect coefficient based on the power deviation and the energy deviation. In one embodiment, the weight α may be preconfigured 1 And a weight α 2 Wherein the weight α is 1 And the weight alpha 2 Is 1, a first ratio of the power deviation to the target power value is calculated, and a second ratio of the energy deviation to the target energy value is calculated, then using the above-mentioned weight α 1 And a weight α 2 And carrying out weighted summation on the first ratio and the second ratio, wherein the specified value can be 1. For easy understanding, see the peak shaving effect coefficient A as shown below 1 The calculation formula of (2):
wherein Δ E = Δ P Δ t, Δ E is the energy after regulation by the peak shaving instruction, Δ E 0 ＝ΔP 0 *Δt 0 ，ΔE 0 The energy before regulation and control is the peak regulation instruction.
And a2, determining the frequency modulation effect coefficient based on the frequency deviation and the energy deviation. Similarly, the frequency modulation effect coefficient A 2 The calculation formula of (c) is as follows:
A 2 ＝α 3 (1-Δf/Δf 0 )+α 4 (1-ΔE f /ΔE f0 ) (ii) a Wherein, delta E f For modulated energy, Δ E, of frequency-modulated commands f0 For the energy before regulation by frequency-modulated commands, alpha 3 And alpha 4 Are all preset weights, and the weight alpha 3 And a weight α 4 The sum of (b) is 1. Optionally, the weight α 3 Greater than weight α 1 Weight α, weight α 4 Less than weight alpha 2 Such as the weight α 1 And the weight alpha 2 Are all set to 0.5, weight α 3 Set to 0.8, weight α 4 Set to 0.2.
And a3, determining a voltage regulation effect coefficient based on the voltage deviation and the energy deviation. Similarly, the frequency modulation effect coefficient A 3 The calculation formula of (c) is as follows:
A 3 ＝α 5 (1-ΔV/ΔV 0 )+α 6 (1-ΔE V /ΔE V0 ). Wherein, delta E V For regulating the regulated energy of the command, Δ E V0 For regulating the energy before regulation by the pressure command, alpha 5 And alpha 6 Are all preset weights, and the weight alpha 5 And a weight α 6 The sum of (b) is 1.
And a4, determining a support effect coefficient based on the second level apparent power deviation. Considering that the emergency support command has less influence on the system energy, the support effect coefficient A 4 The calculation formula of (c) is as follows:
A 4 ＝1-ΔS/ΔS 0 。
and a5, determining a first weight coefficient according to the current regulation and control instruction. Wherein the sum of all first weight coefficients is 1. In another optional implementation manner, the weight value of the coefficient corresponding to the current regulation instruction may be set to 1, and the weight values of the remaining coefficients may be set to 0.
And a6, weighting the peak regulation effect coefficient, the frequency modulation effect coefficient, the pressure regulation effect coefficient and the support effect coefficient according to the first weight coefficient to obtain an effect evaluation coefficient. The embodiment of the invention exemplarily provides a calculation formula of an effect evaluation coefficient A, which comprises the following steps:
A＝α 7 *A 1 +α 8 *A 2 +α 9 *A 3 +α 10 *A 4 . Wherein the weight α 7 Weight alpha 8 Weight alpha 9 Weight alpha 10 The sum of (1) is 1. For example, based on the above calculation formula, assuming that the current regulation instruction is a peak regulation instruction, the weight α is determined 7 Is 1, weight α 8 Weight alpha 9 Weight alpha 10 Is 0.
For the benefit analysis coefficient, the benefit analysis coefficient may be determined based on the benefit parameter and the electric quantity value deviation, which may be specifically referred to in the explanation of the electric quantity value deviation in the foregoing embodiment, which is not described in detail in the embodiment of the present invention. On this basis, the embodiment of the present invention provides an implementation manner for determining the benefit analysis coefficient, which is shown in the following steps b1 to b3:
and b1, determining a peak-load regulation benefit coefficient, a frequency modulation benefit coefficient, a voltage regulation benefit coefficient and an emergency support benefit coefficient based on the preconfigured benefit parameters and the electric quantity value deviation. The benefit parameters include an economic coefficient, a penalty coefficient, and a cost coefficient. The embodiment of the invention exemplarily provides an implementation mode for determining a peak shaving benefit coefficient, and aiming at the peak shaving benefit coefficient, power loss and regulated and controlled power need to be obtained. Specifically, the method comprises the following steps:
(1) And for each operation time period in the operation duration corresponding to the energy-saving and energy-storing system, calculating the product of the economic coefficient and the regulated power value corresponding to the operation time period to obtain the peak regulation benefit. In one embodiment, the economic coefficient includes a peak shaver patch c 1 And participation in discharge yield c 2 Then the peak shaver gain for that operating time period is expressed as (c) 1 +c 2 )ΔP。
(2) And calculating the product of the penalty coefficient and the power deviation corresponding to the operation time period to obtain the peak regulation deviation penalty. In one embodiment, the penalty factor is denoted as c 3 Then the penalty of peak shaving deviation in the operation time period is recorded as c 3 |ΔP 0 -ΔP|。
(3) And calculating the product of the cost coefficient and the regulated power value corresponding to the operation time period to obtain the peak regulation operation and maintenance cost. In one embodiment, the charging cost may be increased, for example, assuming that the regulated power value is Δ P, and the corresponding discharging benefit is c2 Δ P, in order to ensure that the next energy storage still has the peak shaving potential, the discharged Δ P needs to be charged back in a time period with low electricity price, and assuming that the electricity price (i.e., the cost coefficient) is c4 during charging, the charging amount is Δ P, and the charging cost is c4 Δ P. On the basis, the cost coefficient is recorded as c 4 Then the peak shaving operation and maintenance cost of the operation time period is represented as c 4 ΔP。
(4) And calculating the difference value of the peak regulation profit, the peak regulation loss and the peak regulation operation and maintenance cost to obtain the peak regulation benefit sub-coefficient corresponding to the operation time period.
(5) And summing the peak regulation benefit sub-numbers corresponding to each operation time period to obtain a peak regulation benefit coefficient. In an embodiment, the peak shaving benefit sub-coefficient corresponding to each operation time period is obtained through the steps (1) to (4), and the peak shaving benefit sub-coefficients are summed to obtain a total peak shaving benefit coefficient in the operation time period of the energy-saving energy storage system, wherein the peak shaving benefit coefficient B is 1 The calculation formula of (a) is as follows:
B 1 ＝∑(c 1 +c 2 )ΔP-c 3 |ΔP 0 -ΔP|-c 4 ΔP。
similarly, the frequency modulation benefit coefficient, the pressure regulation benefit coefficient and the emergency support benefit coefficient can be determined respectively by referring to the above (1) to (5). In particular, the frequency modulation efficiency coefficient B 2 The calculation formula of (c) is as follows:
B 2 ＝∑(c 1 +c 2 )Δf-c 3 |Δf 0 -Δf|-c 4 Δf。
the calculation formula of the pressure regulating benefit coefficient B3 is as follows:
B 3 ＝∑(c 1 +c 2 )ΔV-c 3 |ΔV 0 -ΔV|-c 4 ΔV。
coefficient of emergency support benefit B 4 The calculation formula of (a) is as follows:
B 4 ＝∑(c 1 +c 2 )ΔS-c 3 |ΔS 0 -ΔS|-c 4 ΔS。
and b2, determining a second weight coefficient according to the current regulation and control instruction. Wherein the sum of all second weight coefficients is 1. In another optional implementation manner, the weight value of the coefficient corresponding to the current regulation instruction may be set to 1, and the weight values of the remaining coefficients may be set to 0.
And b3, weighting the peak-load regulation benefit coefficient, the frequency modulation benefit coefficient, the voltage regulation benefit coefficient and the emergency support benefit coefficient according to the second weight coefficient to obtain a benefit analysis coefficient. The embodiment of the invention exemplarily provides a calculation formula of the benefit analysis coefficient:
B＝β 1 *B 1 +β 2 *B 2 +β 3 *B 3 +β 4 *B 4 . Wherein the weight β 1 Weight beta, weight beta 2 Weight beta 3 Weight beta 4 The sum of (1). For example, based on the above calculation formula, assuming that the current regulation instruction is a peak regulation instruction, the weight β is determined 1 Is 1, weight β 2 Weight beta, weight beta 3 Weight beta 4 Is 0.
And (III) aiming at the potential quantization coefficient, determining the potential quantization coefficient based on the energy storage charge state, the maximum energy storage time, the charge and discharge efficiency, the equipment utilization rate, the energy storage recovery investment time and the average buffer time for scheduling the stored electric quantity in the running process of the energy-saving and energy-storage system.
For the utilization rate of the equipment, in practical application, the energy-saving energy storage system can comprise a plurality of energy storage devices, and by analyzing the utilization rate of the energy storage device, the unqualified utilization rate of the equipment in the operation process is prevented, and unnecessary waste of electric energy storage caused by the fact that the input equipment is still used is avoided. For example, in the electric energy storage process, if the electric energy storage device does not store electric energy completely, the monitoring device of the electric energy storage device still monitors all the electric energy storage devices, so that the electric energy storage cost can be increased, and therefore the cost management and control effect can be played by acquiring the device utilization rate.
For the above-mentioned restoration energy storage investment duration, which is expressed as electric energy storage, as an investment, after the electric energy storage is completed, the interval duration of the profit can be obtained, such as: the third party manages the enterprise electric energy storage, so that the third party and the enterprise store interest relationship, and meanwhile, the interval between the electric energy storage management and the income of the third party is the recovery energy storage investment time. The accuracy of determining the potential quantization coefficient can be further improved by obtaining the investment duration for restoring the energy storage.
In one embodiment, the energy storage state of charge can be updated according to the maximum energy storage time, the charge-discharge efficiency, the equipment utilization rate, the energy storage restoration investment time and the average buffer time, and then the potential quantization coefficient can be determined according to the updated energy storage state of charge and the maximum energy storage. In practical application, the energy storage charge state of the energy-saving and energy-storing system may be affected, so that the energy storage charge state may be adaptively adjusted according to the maximum energy storage duration, the charge and discharge efficiency, the equipment utilization rate, the energy storage investment recovery duration and the average buffering duration, and the potential quantization coefficient may be determined by using the updated energy storage charge state.
For example, the potential quantization factor is used to characterize whether the energy-saving energy storage system can continue to be charged or discharged, and in one embodiment, the maximum energy storage E can be calculated max Difference from the energy storage state of charge E (the difference is used to characterize whether the energy saving energy storage system can continue charging), and calculating the energy storage state of charge E and the minimum energy storage E min (e.g., 0) where the difference is used to indicate whether the energy-saving energy storage system can continue to discharge, and the product of the two differences is the energy storage state, and if the energy storage state is greater than the preset energy storage threshold, it indicates that the energy-saving energy storage system can continue to charge and discharge. For example, taking the current regulation instruction as the peak shaving instruction as an example, assume the minimum energy storage E min Is 0, peak shaving instruction post energy storage state of charge C 1 Can be characterized as:
C 1 ＝(E max -E) ((E-0). Similarly, the energy storage states after the frequency modulation instruction and the voltage regulation instruction can be calculated by adopting the formula, and the energy storage state does not need to be calculated when the current regulation and control instruction is the emergency support instruction due to the fact that the emergency support instruction has small influence on system energy.
On the basis of the foregoing embodiment, the embodiment of the present invention further provides an implementation manner of step S106, in which the effect evaluation coefficient, the benefit analysis coefficient, and the potential quantization coefficient are input into a pre-constructed performance evaluation model, and a current performance evaluation result is output through the performance evaluation model. Optionally, the performance evaluation model may perform weighting processing on the effect evaluation coefficient, the performance analysis coefficient, and the potential quantization coefficient to obtain a current performance evaluation result. In practical application, an efficiency threshold may be preconfigured, and if the current efficiency evaluation result is greater than the efficiency threshold, it indicates that the regulation and control effect of the current regulation and control instruction is better, and if the current efficiency evaluation result is less than the efficiency threshold, it indicates that the regulation and control effect of the current regulation and control instruction is worse.
In practical application, the weight coefficient in the calculation formula can be manually set, and can also be obtained by calculating the value of the past quantity just after the past quantity is taken, the formula is a formula of recent real conditions obtained by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by related technicians according to actual conditions. Specifically, a relevant technician may collect multiple sets of sample data and set a corresponding rating coefficient for each set of sample data; and substituting the set rating coefficient and the acquired sample data into the formulas, forming a linear equation set of two-dimensional by any two formulas, screening the calculated coefficients and taking the mean value to obtain the corresponding coefficients. The coefficient is a specific value obtained by quantizing each parameter, so that the subsequent comparison is facilitated, and regarding the coefficient, the proportional relation between the parameter and the quantized value is not affected.
In order to facilitate understanding of the method for evaluating the efficiency of an energy storage system participating in multi-link regulation and control of a power grid provided in the foregoing embodiment, an embodiment of the present invention further provides an application example of the method for evaluating the efficiency of an energy storage system participating in multi-link regulation and control of a power grid, which is shown in fig. 3 and is a schematic flow diagram of another method for evaluating the efficiency of an energy storage system participating in multi-link regulation and control of a power grid, and the method mainly includes the following steps S302 to S318:
step S302, determining a current regulation and control instruction to be executed by the energy-saving and energy-storing system so that the energy-saving and energy-storing system participates in power grid regulation and control. In one embodiment, the selection of the current regulation instruction may be known according to the historical evaluation coefficient and the historical performance evaluation result corresponding to the previous regulation instruction.
And step S304, carrying out state monitoring processing on the energy-saving and energy-storing system to obtain a system state.
And S306, acquiring and processing parameters of the energy-saving and energy-storing system to obtain system parameters.
And S308, acquiring and processing data of the energy-saving and energy-storing system to obtain system data.
And S310, evaluating the regulation and control effect of the energy-saving and energy-storing system to obtain an effect evaluation coefficient. In one implementation mode, the energy-saving energy storage system is marked as an analysis object, the operation time of the analysis object is marked as an analysis time period, the electric quantity value deviation of the stored electric quantity scheduling of the analysis object is collected and marked as PC, and the effect evaluation coefficient is determined based on the electric quantity value deviation.
And S312, performing regulation and control benefit analysis on the energy-saving and energy-storing system to obtain a benefit analysis coefficient. In one embodiment, the loss parameter in the energy storage process of the analysis object in the analysis time period is collected, and the loss parameter in the energy storage process of the analysis object in the analysis time period is marked as SHL.
And S314, carrying out regulation and control potential quantization on the energy-saving and energy-storing system to obtain a potential quantization coefficient. In one embodiment, the maximum energy storage duration of an analysis object in an analysis time period is collected and marked as CLS; collecting the charge-discharge efficiency of the corresponding stored electric energy of the analysis object, and marking the charge-discharge efficiency as LYL; acquiring the equipment utilization rate of corresponding equipment in the operation process of an analysis object and the investment duration of energy storage recovery corresponding to the analysis object; acquiring the average buffer duration of the stored electricity quantity for scheduling in the running process of an analysis object, and marking the average buffer duration as HC; collecting the sustainable scheduling duration of the stored electricity quantity in the operation process of the analysis object, and marking the sustainable scheduling duration as SC; and simultaneously determining the energy storage state of the analysis object, thereby determining the potential quantization coefficient according to the parameters and the energy storage state.
And step S316, determining the weight coefficients of the effect evaluation coefficient, the benefit analysis coefficient and the potential quantization coefficient by using an objective weighting method.
And step S318, carrying out weighted summation on the effect evaluation coefficient, the benefit analysis coefficient and the potential quantization coefficient based on the weight coefficient to obtain a performance evaluation result.
In practical application, the efficiency evaluation result can be compared with a preset efficiency threshold, if the efficiency evaluation result exceeds the efficiency threshold, the energy storage operation analysis of the analysis object is judged to be qualified, an energy storage operation analysis qualified signal is generated, and the energy storage operation analysis qualified signal and the corresponding efficiency evaluation result are sent to the server together; otherwise, if the efficiency evaluation result does not exceed the efficiency threshold, judging that the energy storage operation analysis of the analysis object is unqualified, generating an energy storage operation analysis unqualified signal and sending the energy storage operation analysis unqualified signal to the server; and after receiving the unqualified signal of the energy storage operation analysis, the server controls the energy storage operation of the corresponding analysis object.
According to the efficiency evaluation method for the energy storage system to participate in multi-link regulation and control of the power grid, provided by the embodiment of the invention, the real-time operation state of the current energy-saving energy storage system is accurately judged by carrying out quantitative analysis on the regulation and control potential, and the qualification of the efficiency evaluation of the energy storage system is improved, so that the qualification and the high efficiency of the operation of the energy storage system are enhanced. Meanwhile, the efficiency evaluation accuracy of the energy-saving energy storage system can be improved through benefit analysis, and meanwhile, the benefit analysis is also beneficial to controlling the input of energy storage cost in real time, so that the operation efficiency of the energy-saving energy storage system is improved, and the reliability of the efficiency evaluation of the energy storage system can be enhanced. In addition, the barrel of the embodiment of the invention constructs the efficiency evaluation model, and carries out the efficiency evaluation of the energy-saving energy storage system according to the efficiency evaluation model, thereby improving the accuracy of the efficiency evaluation, simultaneously being capable of mastering the running state of the energy storage system in real time and being beneficial to enhancing the running efficiency of the energy storage system.
For the efficiency evaluation method for the energy storage system to participate in the multi-link regulation and control of the power grid provided by the foregoing embodiment, an embodiment of the present invention provides an efficiency evaluation device for the energy storage system to participate in the multi-link regulation and control of the power grid, see a schematic structural diagram of the efficiency evaluation device for the energy storage system to participate in the multi-link regulation and control of the power grid shown in fig. 4, and the device mainly includes the following components:
the parameter acquisition module 402 is configured to perform state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system when it is monitored that the energy-saving energy storage system finishes executing the current regulation and control instruction, so as to obtain a current energy storage parameter of the energy-saving energy storage system; the current regulation and control instruction comprises one or more of a peak regulation instruction, a frequency modulation instruction, a pressure regulation instruction and an accident emergency support instruction;
the data analysis module 404 is configured to perform data analysis on the energy-saving and energy-storing system based on the current regulation and control instruction and the current energy-storing parameter to obtain a current evaluation coefficient; wherein the current evaluation coefficient comprises one or more of an effect evaluation coefficient, a benefit analysis coefficient and a potential quantification coefficient;
and the efficiency evaluation module 406 is configured to perform efficiency evaluation on the energy-saving and energy-storing system according to the current evaluation coefficient to obtain a current efficiency evaluation result.
According to the efficiency evaluation device for the energy storage system to participate in multi-link regulation and control of the power grid, provided by the embodiment of the invention, the current energy storage parameter when the current regulation and control instruction is executed is subjected to data analysis, so that a current evaluation coefficient capable of representing the influence of the current regulation and control instruction on the energy storage system is obtained, the efficiency of the energy storage system is accurately evaluated on the basis of the current evaluation coefficient, and further, an efficiency evaluation result with higher accuracy is obtained.
In one embodiment, the apparatus further includes an instruction determining module configured to: acquiring a historical evaluation coefficient and a historical efficiency evaluation result; the historical evaluation coefficient is obtained by performing data analysis on the energy-saving and energy-storing system when the execution of a previous regulation and control instruction corresponding to the current regulation and control instruction is finished, and the historical efficiency evaluation result is obtained by performing efficiency evaluation on the energy-saving and energy-storing system based on the historical evaluation coefficient when the execution of the previous regulation and control instruction is finished; determining a current regulation and control instruction to be executed from the candidate regulation and control instructions according to the historical evaluation coefficient and the historical efficiency evaluation result; and controlling the energy-saving and energy-storing system to execute the current regulation and control instruction.
In one embodiment, the current energy storage parameter includes system data, the system data includes an electric quantity value deviation, the electric quantity value deviation is a reduction value of a target value and an actual regulation value carried by a current regulation and control instruction, and the electric quantity value deviation includes a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation; the data analysis module 404 is further configured to: determining a peak shaver effectiveness coefficient based on a power deviation and an energy deviation if the current evaluation coefficient comprises the effectiveness evaluation coefficient; and determining a frequency modulation effect coefficient based on the frequency deviation and the energy deviation; determining a voltage regulation effect coefficient based on the voltage deviation and the energy deviation; and determining a support effect coefficient based on the second-level apparent power deviation; determining a first weight coefficient according to a current regulation and control instruction; and weighting the peak-shaving effect coefficient, the frequency modulation effect coefficient, the pressure-regulating effect coefficient and the support effect coefficient according to the first weight coefficient to obtain an effect evaluation coefficient.
In one embodiment, the current energy storage parameter includes system data, the system data includes an electric quantity value deviation, the electric quantity value deviation is a reduction value of a target value and an actual regulation value carried by a current regulation instruction, and the electric quantity value deviation includes a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation; the data analysis module 404 is further configured to: if the current evaluation coefficient comprises a benefit analysis coefficient, determining a peak-load regulation benefit coefficient, a frequency modulation benefit coefficient, a voltage regulation benefit coefficient and an emergency support benefit coefficient based on a pre-configured benefit parameter and an electric quantity value deviation; determining a second weight coefficient according to the current regulation and control instruction; and weighting the peak regulation benefit coefficient, the frequency modulation benefit coefficient, the voltage regulation benefit coefficient and the emergency support benefit coefficient according to the second weight coefficient to obtain a benefit analysis coefficient.
In one embodiment, the benefit parameters include an economic coefficient, a penalty coefficient and a cost coefficient, and the actual regulation value includes a regulated power value; the data analysis module 404 is further configured to: determining a peak shaving benefit coefficient based on a pre-configured benefit parameter and an electric quantity value deviation, wherein the peak shaving benefit coefficient comprises the following steps: for each operation time period in the operation duration corresponding to the energy-saving and energy-storing system, calculating the product of the economic coefficient and the regulated power value corresponding to the operation time period to obtain peak regulation income, calculating the product of the penalty coefficient and the power deviation corresponding to the operation time period to obtain peak regulation deviation penalty, and calculating the product of the cost coefficient and the regulated power value corresponding to the operation time period to obtain peak regulation operation and maintenance cost; calculating the difference value of the peak regulation income, the penalty of peak regulation deviation and the peak regulation operation and maintenance cost to obtain a peak regulation benefit sub-coefficient corresponding to the operation time period; and summing the peak regulation benefit sub-numbers corresponding to each operation time period to obtain a peak regulation benefit coefficient.
In one embodiment, the current energy storage parameters include a system state and system parameters, the system state includes an energy storage state of charge, and the system parameters include a maximum energy storage, a maximum energy storage duration, a charge-discharge efficiency, an equipment utilization rate, an energy storage recovery investment duration, and an average buffer duration for scheduling the stored electric quantity in the operation process of the energy-saving energy storage system; the data analysis module 404 is further configured to: if the current evaluation coefficient comprises a potential quantization coefficient, updating the energy storage charge state according to the maximum energy storage time, the charge-discharge efficiency, the equipment utilization rate, the energy storage recovery investment time and the average buffer time; and determining a potential quantization coefficient according to the updated energy storage charge state and the maximum energy storage.
In one embodiment, the performance evaluation module 406 is further configured to: and inputting the effect evaluation coefficient, the benefit analysis coefficient and the potential quantization coefficient into a pre-constructed performance evaluation model, and outputting a current performance evaluation result through the performance evaluation model.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
The embodiment of the invention provides a server, and particularly, the server comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the above described embodiments.
Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention, where the server 100 includes: the system comprises a processor 50, a memory 51, a bus 52 and a communication interface 53, wherein the processor 50, the communication interface 53 and the memory 51 are connected through the bus 52; the processor 50 is used to execute executable modules, such as computer programs, stored in the memory 51.
The Memory 51 may include a Random Access Memory (RAM) and a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 53 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The bus 52 may be an ISA bus, a PCI bus, an EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
The memory 51 is used for storing a program, the processor 50 executes the program after receiving an execution instruction, and the method performed by the apparatus defined by the flow program disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 50, or implemented by the processor 50.
The processor 50 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 50. The Processor 50 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 51, and the processor 50 reads the information in the memory 51 and completes the steps of the method in combination with the hardware.
The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the foregoing method embodiment, which is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some features, within the scope of the disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A method for evaluating the efficiency of an energy storage system participating in multi-link regulation and control of a power grid is characterized by comprising the following steps:
when the energy-saving energy storage system is monitored to finish executing the current regulation and control instruction, performing state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system to obtain current energy storage parameters of the energy-saving energy storage system; the current regulation and control instruction comprises one or more of a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an accident emergency support instruction;
based on the current regulation and control instruction and the current energy storage parameter, performing data analysis on the energy-saving energy storage system to obtain a current evaluation coefficient; wherein the current evaluation coefficient comprises one or more of an effect evaluation coefficient, a benefit analysis coefficient and a potential quantification coefficient;
and performing efficiency evaluation on the energy-saving and energy-storing system according to the current evaluation coefficient to obtain a current efficiency evaluation result.
2. The method according to claim 1, wherein before the step when it is monitored that the energy-saving and energy-storing system executes the current regulation and control instruction, the method further comprises:
acquiring a historical evaluation coefficient and a historical efficiency evaluation result; the historical evaluation coefficient is obtained by performing data analysis on the energy-saving and energy-storing system when the execution of a previous regulation and control instruction corresponding to a current regulation and control instruction is finished, and the historical efficiency evaluation result is obtained by performing efficiency evaluation on the energy-saving and energy-storing system based on the historical evaluation coefficient when the execution of the previous regulation and control instruction is finished;
determining a current regulation and control instruction to be executed from candidate regulation and control instructions according to the historical evaluation coefficient and the historical efficiency evaluation result;
and controlling the energy-saving and energy-storing system to execute the current regulation and control instruction.
3. The method of claim 1, wherein the current energy storage parameter comprises system data, the system data comprises a power value deviation, the power value deviation is a reduction value of a target value carried by the current regulation instruction and an actual regulation value, and the power value deviation comprises a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation;
the step of performing data analysis on the energy-saving energy storage system based on the current regulation and control instruction and the current energy storage parameter to obtain a current evaluation coefficient includes:
determining a peak shaver effectiveness coefficient based on the power deviation and the energy deviation if the current evaluation coefficient comprises the effectiveness evaluation coefficient; and determining a fm effect coefficient based on the frequency deviation and the energy deviation; and determining a voltage regulation effectiveness coefficient based on the voltage deviation and the energy deviation; and determining a support effectiveness coefficient based on the second-level apparent power deviation;
determining a first weight coefficient according to the current regulation and control instruction;
and weighting the peak regulation effect coefficient, the frequency modulation effect coefficient, the pressure regulation effect coefficient and the support effect coefficient according to the first weight coefficient to obtain an effect evaluation coefficient.
4. The method of claim 1, wherein the current energy storage parameter comprises system data, the system data comprises a power value deviation, the power value deviation is a reduction value of a target value and an actual regulation value carried by the current regulation instruction, and the power value deviation comprises a power deviation, an energy deviation, a frequency deviation, a voltage deviation and a second-level apparent power deviation;
the step of performing data analysis on the energy-saving energy storage system based on the current regulation and control instruction and the current energy storage parameter to obtain a current evaluation coefficient includes:
if the current evaluation coefficient comprises a benefit analysis coefficient, determining a peak regulation benefit coefficient, a frequency modulation benefit coefficient, a voltage regulation benefit coefficient and an emergency support benefit coefficient based on a pre-configured benefit parameter and the electric quantity value deviation; wherein the benefit parameters comprise an economic coefficient, a penalty coefficient and a cost coefficient;
determining a second weight coefficient according to the current regulation and control instruction;
weighting the peak-load adjustment benefit coefficient, the frequency modulation benefit coefficient, the pressure adjustment benefit coefficient and the emergency support benefit coefficient according to the second weight coefficient to obtain a benefit analysis coefficient;
wherein the actual regulating value comprises a regulated power value; determining a peak shaving benefit coefficient based on a pre-configured benefit parameter and the electric quantity value deviation, wherein the peak shaving benefit coefficient comprises the following steps:
for each operation time period in the operation duration corresponding to the energy-saving and energy-storing system, calculating the product of the economic coefficient and the regulated power value corresponding to the operation time period to obtain peak regulation income, calculating the product of the penalty coefficient and the power deviation corresponding to the operation time period to obtain peak regulation deviation penalty, and calculating the product of the cost coefficient and the regulated power value corresponding to the operation time period to obtain peak regulation operation and maintenance cost;
calculating the difference value of the peak regulation income, the peak regulation deviation punishment and the peak regulation operation and maintenance cost to obtain a peak regulation benefit sub-coefficient corresponding to the operation time period;
and summing the peak shaving benefit subsystems corresponding to each operation time period to obtain a peak shaving benefit coefficient.
5. The method according to claim 1, wherein the current energy storage parameters comprise a system state and a system parameter, the system state comprises an energy storage state of charge, and the system parameter comprises a maximum energy storage, a maximum energy storage duration, a charge-discharge efficiency, a device utilization rate, an energy storage recovery investment duration and an average buffer duration for scheduling the stored electric quantity in the operation process of the energy-saving energy storage system;
the step of performing data analysis on the energy-saving energy storage system based on the current regulation and control instruction and the current energy storage parameter to obtain a current evaluation coefficient includes:
if the current evaluation coefficient comprises a potential quantization coefficient, updating the energy storage charge state according to the maximum energy storage time, the charge-discharge efficiency, the equipment utilization rate, the energy storage recovery investment time and the average buffer time;
and determining a potential quantization coefficient according to the updated energy storage charge state and the maximum energy storage.
6. The method according to any one of claims 1 to 5, wherein the step of evaluating the performance of the energy-saving and energy-storing system according to the current evaluation coefficient to obtain a current performance evaluation result comprises:
and inputting the effect evaluation coefficient, the benefit analysis coefficient and the potential quantization coefficient into a pre-constructed performance evaluation model, and outputting a current performance evaluation result through the performance evaluation model.
7. The utility model provides an efficiency evaluation device of energy storage system participation electric wire netting polycyclic festival regulation and control which characterized in that includes:
the monitoring module is used for performing state monitoring processing, parameter acquisition processing and data acquisition processing on the energy-saving energy storage system when the energy-saving energy storage system is monitored to finish executing the current regulation and control instruction, so as to obtain the current energy storage parameters of the energy-saving energy storage system; the current regulation and control instruction comprises one or more of a peak regulation instruction, a frequency modulation instruction, a voltage regulation instruction and an accident emergency support instruction;
the data analysis module is used for carrying out data analysis on the energy-saving and energy-storing system based on the current regulation and control instruction and the current energy-storing parameter to obtain a current evaluation coefficient; wherein the current evaluation coefficient comprises one or more of an effect evaluation coefficient, a benefit analysis coefficient and a potential quantification coefficient;
and the efficiency evaluation module is used for carrying out efficiency evaluation on the energy-saving energy storage system according to the current evaluation coefficient to obtain a current efficiency evaluation result.
8. A server comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 6.
9. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 6.
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