CN116345700B - Energy consumption monitoring method and monitoring system for energy storage power station - Google Patents
Energy consumption monitoring method and monitoring system for energy storage power station Download PDFInfo
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Abstract
The application discloses an energy consumption monitoring method and a monitoring system for an energy storage power station, which relate to the technical field of energy consumption monitoring systems, wherein whether the monitoring system can support monitoring work is judged according to the comparison result of an operation coefficient and a gradient threshold value, if the monitoring system supports the monitoring work, the monitoring system processes and analyzes acquired data of the energy storage power station, corresponding monitoring equipment is arranged for the energy storage power station, the energy consumption condition of the energy storage power station is monitored in real time, in the monitoring process, the monitoring system acquires parameters related to the monitoring equipment, the operation coefficient is established for the parameters, whether the monitoring system supports the monitoring work is judged according to the comparison result of the operation coefficient and the gradient threshold value, and the management scheme is generated according to the judgment result. The application improves the monitoring accuracy of the monitoring system on the energy consumption condition of the energy storage power station by ensuring the running stability of the monitoring system.
Description
Technical Field
The application relates to the technical field of energy consumption monitoring systems, in particular to an energy consumption monitoring method and an energy consumption monitoring system for an energy storage power station.
Background
The energy consumption monitoring system of the energy storage power station is a software system for monitoring and managing the energy consumption of the energy storage power station, along with the continuous increase of the global demand for clean energy, the energy consumption of the energy storage power station in the energy field is more and more important, and in order to realize the effective management of the energy storage power station, the energy consumption of the energy storage power station needs to be monitored and analyzed so as to discover and solve the problems in time, the operation efficiency and the economy of the energy storage power station are improved, the use of the energy consumption monitoring system of the energy storage power station can improve the efficiency and the reliability of the energy storage power station, the operation cost of the energy storage power station is reduced, the influence on the environment is reduced, and the sustainable development is realized.
The prior art has the following defects:
the existing monitoring system mainly monitors the energy consumption condition of the energy storage power station by arranging a series of hardware devices to operate in a matched mode, however, the performance of the hardware devices of the monitoring system can change along with the time, the existing monitoring system does not analyze and process the operation state of the monitoring system in the operation process, and when the performance of the monitoring system is reduced, the monitoring system can cause errors in monitoring the energy consumption of the energy storage power station, so that the monitoring accuracy of the monitoring system on the energy consumption of the energy storage power station is reduced.
Disclosure of Invention
The application aims to provide an energy consumption monitoring method and an energy consumption monitoring system for an energy storage power station, which are used for solving the defects in the background technology.
In order to achieve the above object, the present application provides the following technical solutions: an energy consumption monitoring method for an energy storage power station, the monitoring method comprising the steps of:
s1: corresponding monitoring equipment is installed for the energy storage power station according to the monitoring index, and the data of the energy storage power station are collected in real time through the monitoring equipment;
s2: in the process of data acquisition of the energy storage power station, a monitoring system acquires parameters related to monitoring equipment, and the parameters are established into operation coefficients;
s3: judging whether the monitoring system can support monitoring work or not according to the comparison result of the operation coefficient and the gradient threshold value, and generating a management scheme according to the judgment result;
s4: if the monitoring system supports monitoring work, the monitoring system processes and analyzes the collected energy storage power station data, and an energy consumption monitoring report is generated by the energy storage power station data obtained through processing and analysis;
s5: and carrying out operation scheduling optimization according to the energy consumption monitoring report.
In a preferred embodiment, in step S2, establishing the operating coefficients comprises the steps of:
acquisition and monitoring deviceThe related parameters comprise a temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment, electromagnetic interference degree of the metering equipment, network signal to noise ratio of the network equipment and maintenance rate of a monitoring system, and the operation coefficient of the parameters related to the monitoring equipment is established by a formula, wherein the expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the application,for the running coefficient +.>For the network signal-to-noise ratio of the network device, +.>To monitor the system maintenance rate->For measuring the electromagnetic interference of the device, +.>For the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing device, < +.>The ratio coefficients of the network signal to noise ratio, the monitoring system maintenance rate, the electromagnetic interference degree of the metering equipment and the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment are respectively +.>。
In a preferred embodiment, the network signal to noise ratio of the network deviceEqual to the logarithm of the ratio of signal power to noise power, expressed as: />The method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Representing the received signal power, +.>Representing the received noise power.
In a preferred embodiment, the degree of electromagnetic interference of the metering deviceThe computational expression is:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Indicating the magnitude of the input voltage to which the metering device is subjected under the influence of the electromagnetic field of the disturbance source, +.>Representing the magnitude of the input voltage to which the metering device is subjected in the absence of electromagnetic interference.
In a preferred embodiment, the monitoring system maintains the rateBy the formula:to monitor the history of all maintenance times of the system, the +.>To monitor the total operating time of the system.
In a preferred embodiment, the sensor device is provided with a sensor device having a sensor deviceBy the expression: />The method comprises the steps of carrying out a first treatment on the surface of the Calculating temperature and humidity fluctuation coefficient of surrounding environment of sensing equipmentIs ambient real-time temperature>Is the real-time humidity of the environment, ">For the time period of the temperature pre-warning,and in the time period of the humidity early warning, the real-time temperature is greater than the temperature threshold value to send out the temperature early warning, and the real-time humidity is greater than the humidity threshold value to send out the humidity early warning.
In a preferred embodiment, in step S3, generating the management scheme according to the determination result includes the steps of:
s3.1: the gradient threshold value includes a first threshold valueA second threshold +.>And a first threshold +.>Second threshold->Running coefficient +.>Is>A second threshold +.>Comparing;
s3.2: if the operation coefficient isFirst threshold->Judging that the monitoring system cannot support the monitoring work, generating a management scheme for maintaining the monitoring system, and performing maintenance treatment on the monitoring system by a manager according to the management scheme;
s3.3: if the operation coefficient isSecond threshold->And the monitoring system is judged to support the monitoring work, the running state of the monitoring system is excellent, and a management scheme is not required to be generated.
In a preferred embodiment, if the first threshold valueCoefficient of operation->Second threshold->Judging that the monitoring system supports the monitoring work, and generating a pass-through operation coefficient in the running state of the monitoring system>And (5) a management scheme for adjusting the energy consumption threshold.
In a preferred embodiment, the energy consumption threshold is marked asWhen the first threshold value->Coefficient of operation->Second threshold->In this case, by the operating factor->Correction of the energy consumption threshold->Obtaining a correction threshold value, wherein the expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->In order to correct the threshold value, when the monitoring system is in an operating state and the energy consumption of the energy storage power station monitored by the monitoring system exceeds the correction threshold value, the monitoring system sends out an alarm prompt.
The application also provides an energy consumption monitoring system for the energy storage power station, which comprises a monitoring module, a self-checking module, a processing module, a report generating module and an optimizing module;
the monitoring module collects the energy storage power station data in real time, and sends the energy storage power station data to the processing module, the start monitoring information is sent to the self-checking module, after the self-checking module receives the start monitoring information, parameters related to the monitoring module are obtained, the parameters are established to operate coefficients, whether the monitoring system can support monitoring work or not is judged according to the comparison result of the operating coefficients and the gradient threshold value, a management scheme is generated according to the judgment result, the judgment result is sent to the processing module, if the monitoring system supports the monitoring work, the processing module processes and analyzes the collected energy storage power station data, the processed and analyzed energy storage power station data is sent to the report generating module, the report generating module generates an energy consumption monitoring report through the energy storage power station data obtained through processing and analysis, the energy consumption monitoring report is sent to the optimizing module, and the optimizing module performs operation scheduling optimization according to the energy consumption monitoring report.
In the technical scheme, the application has the technical effects and advantages that:
1. according to the application, the energy consumption condition of the energy storage power station is monitored in real time by installing corresponding monitoring equipment for the energy storage power station, in the monitoring process, a monitoring system acquires parameters related to the monitoring equipment, an operation coefficient is established for the parameters, whether the monitoring system can support monitoring work is judged according to the comparison result of the operation coefficient and the gradient threshold value, and a management scheme is generated according to the judgment result, so that the operation stability of the monitoring system is ensured, and the monitoring precision of the monitoring system on the energy consumption condition of the energy storage power station is improved;
2. according to the application, by acquiring parameters related to the monitoring equipment, wherein the parameters comprise the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment, the electromagnetic interference degree of the metering equipment, the network signal to noise ratio of the network equipment and the maintenance rate of the monitoring system, the parameters related to the monitoring equipment are established through a formula, so that the data processing efficiency is effectively improved, and a management scheme is generated according to the comparison result of the operation coefficient and the gradient threshold value, and the management efficiency of the monitoring system is improved;
3. the application uses the operation coefficient when monitoring the system operation stateCorrection of the energy consumption threshold->And the correction threshold is obtained, the monitoring system monitors that the energy consumption of the energy storage power station exceeds the correction threshold, and the monitoring system gives out an alarm prompt, so that the accuracy of energy consumption monitoring is effectively ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1: referring to fig. 1, an energy consumption monitoring method for an energy storage power station according to the present embodiment includes the following steps:
according to the monitoring index, corresponding monitoring equipment is installed for the energy storage power station, the energy storage power station data are acquired through the monitoring equipment in real time, in the process of acquiring the energy storage power station data, a monitoring system acquires parameters related to the monitoring equipment, an operation coefficient is established for the parameters, whether the monitoring system can support monitoring work or not is judged according to a comparison result of the operation coefficient and a gradient threshold value, a management scheme is generated according to the judgment result, if the monitoring system supports the monitoring work, the monitoring system processes and analyzes the acquired energy storage power station data, an energy consumption monitoring report is generated through the data obtained through processing and analysis, the energy consumption monitoring report comprises energy consumption data, the operation state of the energy storage system, abnormal alarm and the like, and finally operation scheduling optimization is carried out according to the energy consumption monitoring report, for example, the charging and discharging strategies of the energy storage system are reasonably adjusted, and the energy utilization efficiency is optimized.
In this embodiment, the monitoring index includes total energy of the energy storage power station, voltage and current of the battery pack, and the like.
According to the application, the energy consumption condition of the energy storage power station is monitored in real time by installing the corresponding monitoring equipment for the energy storage power station, the monitoring system acquires the parameters related to the monitoring equipment in the monitoring process, the operation coefficient is established by the parameters, whether the monitoring system can support the monitoring work is judged by the comparison result of the operation coefficient and the gradient threshold value, and the management scheme is generated according to the judgment result, so that the operation stability of the monitoring system is ensured, and the monitoring precision of the monitoring system on the energy consumption condition of the energy storage power station is improved.
The monitoring system processes and analyzes the collected data of the energy storage power station, and comprises the following steps:
(1) Collecting various parameter data of a power station, such as voltage, current, temperature, humidity, energy storage state and the like;
(2) Preprocessing the collected original data, such as removing abnormal values, smoothing, aligning data, correcting errors and the like;
(3) Storing the preprocessed data in a database or other data storage medium for subsequent processing and analysis;
(4) According to actual demands, analyzing data, such as calculating power station energy consumption, analyzing energy storage efficiency, detecting health conditions of energy storage equipment and the like;
(5) The analysis results are presented in the form of charts and the like so as to be convenient for users to understand and use.
The energy consumption monitoring report is generated by processing and analyzing the obtained data, and comprises the following steps:
(1) According to the result of data analysis, writing an energy consumption monitoring report, wherein the report comprises the contents of data background, analysis result, conclusion, advice and the like, and the report specifically describes the operation state and abnormal conditions of the energy storage system, such as battery life, equipment operation time, battery charging period and the like;
(2) Generating abnormal alarm information according to abnormal conditions, wherein the alarm information comprises information such as abnormal type, abnormal time, abnormal degree and the like so as to facilitate timely processing and repair;
(3) Auditing the report to ensure the accuracy and credibility of the report;
(4) And issuing a report passing the audit to related personnel so as to facilitate decision making and operation optimization.
The operation scheduling optimization according to the energy consumption monitoring report comprises the following steps:
(1) According to the energy consumption monitoring report, determining the target to be optimized, such as reducing electricity expenditure, improving energy utilization efficiency and the like;
(2) According to the energy consumption monitoring report, analyzing charge and discharge data, power data, temperature data and the like of the energy storage system to find out existing problems and bottlenecks;
(3) According to the analysis result, a reasonable charge-discharge strategy is formulated, wherein the charge-discharge strategy comprises an optimal charge period, an optimal discharge period, an optimal charge power, an optimal discharge power and the like;
(4) According to the formulated optimization strategy, the charging and discharging strategy of the energy storage system is adjusted, the running state and the energy consumption data of the energy storage system are monitored, and the implementation effect of the scheduling scheme is ensured;
(5) And (3) periodically evaluating the optimization effect, comparing and analyzing according to the energy consumption monitoring report, evaluating whether the optimization effect reaches an expected target, and if the optimization effect does not reach the expected target, further adjusting and optimizing the charge and discharge strategy.
Example 2: in the process of data acquisition of the energy storage power station, a monitoring system acquires parameters related to monitoring equipment, establishes operation coefficients for the parameters, judges whether the monitoring system can support monitoring work according to a comparison result of the operation coefficients and a gradient threshold value, and generates a management scheme according to the judgment result;
wherein:
the monitoring system acquires parameters related to the monitoring equipment, and establishes operation coefficients of the parameters, comprising the following steps:
the monitoring system acquires parameters related to the monitoring equipment, wherein the parameters comprise a temperature and humidity fluctuation coefficient of surrounding environment of the sensing equipment, electromagnetic interference degree of metering equipment, network signal to noise ratio of network equipment and maintenance rate of the monitoring system, and the parameters related to the monitoring equipment are established into an operation coefficient through a formula, and the expression is as follows:
in the method, in the process of the application,for the running coefficient +.>For the network signal-to-noise ratio of the network device, +.>In order to monitor the maintenance rate of the system,for metering the electricity of the apparatusMagnetic disturbance degree (I/O)>For the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment,the ratio coefficients of the network signal to noise ratio, the monitoring system maintenance rate, the electromagnetic interference degree of the metering equipment and the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment are respectively +.>。
Network signal-to-noise ratio of network deviceIs one of the indicators for measuring the quality of a communication signal, and is generally expressed in units of decibels (dB), which refers to a logarithmic value of a ratio of signal to noise power received at a receiving end, specifically, a signal to noise ratio is equal to a logarithmic value of a ratio of signal power to noise power, where the expression is: />The method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Representing the received signal power, +.>Representing the received noise power, network signal-to-noise ratio of the network device +.>The higher the energy representing the signal, the less noise affects the signal and the better the signal quality.
Electromagnetic interference degree of metering equipmentThe computational expression is: />The method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the application,indicating the magnitude of the input voltage to which the metering device is subjected under the influence of the electromagnetic field of the disturbance source, +.>Indicating the magnitude of the input voltage to which the metering device is subjected without electromagnetic interference, the degree of electromagnetic interference of the metering device>The larger the metering accuracy of the metering device is, the worse.
Monitoring system maintenance rateBy the formula: />To monitor the history of all maintenance times of the system, the +.>To monitor the total operating time of the system, the system maintenance rate is monitored>The larger the monitoring system, the better the operational stability.
When the humidity is too high or the temperature is too high, the performance of the sensing equipment is reduced, even the sensing equipment is in fault, so that the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment is increasedThe acquisition logic is as follows: sensor device ambient temperature and humidity fluctuation coefficient +.>According to the real-time condition of the environment, the method is obtained by the expression: />The method comprises the steps of carrying out a first treatment on the surface of the Calculating the fluctuation coefficient of the temperature and humidity of the surrounding environment of the sensing equipment>，/>Is ambient real-time temperature>Is the real-time humidity of the environment, ">For the time period of temperature early warning, <' > a->For the period of humidity early warning, the temperature early warning is the period that the real-time temperature exceeds the temperature threshold value, the humidity early warning is the period that the real-time humidity exceeds the humidity threshold value, and the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment is +.>The larger the sensor device, the lower the monitoring accuracy.
By operating coefficientJudging whether the monitoring system can support the monitoring work according to the comparison result of the gradient threshold value, and generating a management scheme according to the judgment result, wherein the management scheme comprises the following steps of:
the gradient threshold value includes a first threshold valueA second threshold +.>And a first threshold +.>Second threshold valueRunning coefficient +.>Is>A second threshold +.>Comparison was performed.
If the operation coefficient isFirst threshold->Judging that the monitoring system cannot support the monitoring work, generating a management scheme for maintaining the monitoring system, and performing maintenance treatment on the monitoring system by a manager according to the management scheme.
If the operation coefficient isSecond threshold->And the monitoring system is judged to support the monitoring work, the running state of the monitoring system is excellent, and a management scheme is not required to be generated.
According to the application, the parameters related to the monitoring equipment are obtained, wherein the parameters comprise the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment, the electromagnetic interference degree of the metering equipment, the network signal to noise ratio of the network equipment and the maintenance rate of the monitoring system, the parameters related to the monitoring equipment are established through a formula, the data processing efficiency is effectively improved, and a management scheme is generated according to the comparison result of the operation coefficient and the gradient threshold value, so that the management efficiency of the monitoring system is improved.
If the first threshold valueCoefficient of operation->Second threshold->Judging that the monitoring system supports the monitoring work, and generating a pass-through operation coefficient in the running state of the monitoring system>The management scheme for adjusting the energy consumption threshold comprises the following specific scheme:
when the monitoring system monitors the energy consumption condition of the energy storage power station, an energy consumption threshold value is generally set, the energy consumption of the energy storage power station monitored in real time exceeds the energy consumption threshold value, the monitoring system sends out an alarm prompt, and when the energy consumption exceeds the first threshold valueCoefficient of operation->Second threshold->When the monitoring system supports the monitoring work, but the performance of the monitoring system is reduced, the monitoring accuracy and efficiency are reduced, and the operation coefficient is needed to be used>The energy consumption threshold is revised again, so that the monitoring system can give out an alarm in advance (the alarm is prevented from being given out untimely due to the performance reduction of the monitoring system);
marking an energy consumption threshold asWhen the first threshold value->Coefficient of operation->Second threshold->In this case, by the operating factor->Correction of the energy consumption threshold->Obtaining a correction threshold value, wherein the expression is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the application,for correction of the threshold value, the system operating state is monitored by means of the operating coefficient +.>Correction of the energy consumption threshold->And the correction threshold is obtained, the monitoring system monitors that the energy consumption of the energy storage power station exceeds the correction threshold, and the monitoring system gives out an alarm prompt, so that the accuracy of energy consumption monitoring is effectively ensured.
Example 3: the energy consumption monitoring system for the energy storage power station comprises a monitoring module, a self-checking module, a processing module, a report generating module and an optimizing module;
and a monitoring module: the system comprises a processing module, a self-checking module, a monitoring module, a power station monitoring module and a power station monitoring module, wherein the processing module is used for acquiring the data of the energy storage power station in real time, sending the data of the energy storage power station to the processing module, and sending the monitoring starting information to the self-checking module;
and a self-checking module: after receiving the monitoring starting information, acquiring parameters related to the monitoring module, establishing an operation coefficient for the parameters, judging whether the monitoring system can support monitoring work according to a comparison result of the operation coefficient and a gradient threshold value, generating a management scheme according to the judgment result, and sending the judgment result to the processing module;
the processing module is used for: if the monitoring system supports monitoring work, processing and analyzing the collected data of the energy storage power station, for example, calculating the voltage and current data of the battery pack to obtain the electric quantity of the battery, performing visual processing on the data so as to perform real-time monitoring and data analysis, and sending the processed and analyzed data of the energy storage power station to a report generating module;
a report generation module: generating an energy consumption monitoring report by processing and analyzing the obtained data, wherein the energy consumption monitoring report comprises energy consumption data, the running state of an energy storage system, abnormal alarm and the like, and sending the energy consumption monitoring report to an optimization module;
and an optimization module: and (3) performing operation scheduling optimization according to the energy consumption monitoring report, for example, reasonably adjusting the charging and discharging strategies of the energy storage system, and optimizing the energy utilization efficiency.
The self-checking module comprises an acquisition unit, a calculation unit and a comparison unit;
the acquisition unit acquires parameters related to the monitoring equipment, wherein the parameters comprise a temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment, electromagnetic interference degree of the metering equipment, network signal to noise ratio of the network equipment and maintenance rate of the monitoring system;
the calculation unit establishes an operation coefficient of parameters related to the monitoring equipment by a formula, wherein the expression is:
in the method, in the process of the application,for the running coefficient +.>For the network signal-to-noise ratio of the network device, +.>In order to monitor the maintenance rate of the system,for measuring the electromagnetic interference of the device, +.>For the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment,the ratio coefficients of the network signal to noise ratio, the monitoring system maintenance rate, the electromagnetic interference degree of the metering equipment and the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing equipment are respectively +.>。
The gradient threshold value includes a first threshold valueA second threshold +.>And a first threshold +.>Second threshold value；
The comparison unit compares the operation coefficientsIs>A second threshold +.>Comparing;
if the operation coefficient isFirst threshold->Judging that the monitoring system cannot support the monitoring work, generating a management scheme for maintaining the monitoring system, and performing maintenance treatment on the monitoring system by a manager according to the management scheme;
if the operation coefficient isSecond threshold->And the monitoring system is judged to support the monitoring work, the running state of the monitoring system is excellent, and a management scheme is not required to be generated.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.
In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
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 this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. An energy consumption monitoring method for an energy storage power station is characterized by comprising the following steps of: the monitoring method comprises the following steps:
s1: corresponding monitoring equipment is installed for the energy storage power station according to the monitoring index, and the data of the energy storage power station are collected in real time through the monitoring equipment;
s2: in the process of data acquisition of the energy storage power station, a monitoring system acquires parameters related to monitoring equipment, and the parameters are established into operation coefficients;
s3: judging whether the monitoring system can support monitoring work or not according to the comparison result of the operation coefficient and the gradient threshold value, and generating a management scheme according to the judgment result;
s4: if the monitoring system supports monitoring work, the monitoring system processes and analyzes the collected energy storage power station data, and an energy consumption monitoring report is generated by the energy storage power station data obtained through processing and analysis;
s5: performing operation scheduling optimization according to the energy consumption monitoring report;
in step S2, establishing the operation coefficient includes the steps of:
parameters related to the monitoring equipment are obtained, wherein the parameters comprise a temperature and humidity fluctuation coefficient of surrounding environment of the sensing equipment, electromagnetic interference degree of metering equipment, network signal to noise ratio of network equipment and maintenance rate of a monitoring system, the parameters related to the monitoring equipment are established into an operation coefficient through a formula, and the expression is as follows:in the formula, yx i To run coefficient, xz b Wh is the network signal-to-noise ratio of the network device x To monitor system maintenance rate, dc g To measure the electromagnetic interference of the equipment, ws b For the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing device, alpha, beta, gamma and delta are respectively the network signal to noise ratio of the network device, the maintenance rate of the monitoring system, the electromagnetic interference degree of the metering device and the proportionality coefficient of the temperature and humidity fluctuation coefficient of the surrounding environment of the sensing device, and delta>γ>α>β>0；
In step S3, the generation of the management scheme according to the determination result includes the following steps:
s3.1: the gradient threshold value comprises a first threshold value yz m Second threshold yz n And a first threshold yz m <Second threshold yz n The running coefficient yx i And a first threshold yz m Second threshold yz n Comparing;
s3.2: if the operation coefficient yx is i <First threshold yz m Judging that the monitoring system cannot support the monitoring work, generating a management scheme for maintaining the monitoring system, and performing maintenance treatment on the monitoring system by a manager according to the management scheme;
s3.3: if the operation coefficient yx is i Not less than a second threshold yz n Judging that the monitoring system supports monitoring work, and the running state of the monitoring system is excellent, and a management scheme is not required to be generated;
if the first threshold yz m Running coefficient yx less than or equal to i <Second threshold yz n Judging that the monitoring system supports the monitoring work, and generating a pass-through operation coefficient yx in the operation state of the monitoring system i A management scheme for adjusting the energy consumption threshold;
the energy consumption threshold is marked as nh z When the first threshold yz m Running coefficient yx less than or equal to i <Second threshold yz n By running coefficient yx i Correcting the energy consumption threshold nh z Obtaining a correction threshold value, wherein the expression is as follows: xz y ＝nh z -yx i The method comprises the steps of carrying out a first treatment on the surface of the Wherein xz is y In order to correct the threshold value, when the monitoring system is in an operating state and the energy consumption of the energy storage power station monitored by the monitoring system exceeds the correction threshold value, the monitoring system sends out an alarm prompt.
2. The energy consumption monitoring method for an energy storage power station of claim 1, wherein: network signal-to-noise ratio xz of the network device b Equal to the logarithm of the ratio of signal power to noise power, expressed as: xz b ＝10log 10 ps i pn i The method comprises the steps of carrying out a first treatment on the surface of the In ps i Representing received signal power, pn i Representing the received noise power.
3. The energy consumption monitoring method for an energy storage power station of claim 2, wherein: electromagnetic interference degree dc of the metering device g The computational expression is: dc (direct current) g ＝20log 10 EiEo; where Ei represents the input voltage amplitude to which the metering device is subjected under the action of the electromagnetic field of the interference source, and Eo represents the input voltage amplitude to which the metering device is subjected under the condition of no electromagnetic interference.
4. A method for energy consumption monitoring of an energy storage plant according to claim 3, characterized in that: the maintenance rate wh of the monitoring system x By the formula: wh (wh) x ＝wh c T，wh c And (3) acquiring all maintenance times of the history of the monitoring system through a maintenance log, wherein T is the total operation time of the monitoring system.
5. The energy consumption monitoring method for an energy storage plant of claim 4, wherein: the temperature and humidity fluctuation coefficient ws of the surrounding environment of the sensing equipment b By the expression: calculating temperature and humidity fluctuation coefficient ws of surrounding environment of sensing equipment b Tt is the ambient real-time temperature, dt is the ambient real-time humidity, t x ，t y For the time period of temperature early warning, t i ，t j And in the time period of the humidity early warning, the real-time temperature is greater than the temperature threshold value to send out the temperature early warning, and the real-time humidity is greater than the humidity threshold value to send out the humidity early warning.
6. An energy consumption monitoring system for an energy storage power station for implementing the monitoring method of any of claims 1-5, characterized by: the system comprises a monitoring module, a self-checking module, a processing module, a report generating module and an optimizing module;
the monitoring module collects the energy storage power station data in real time, and sends the energy storage power station data to the processing module, the start monitoring information is sent to the self-checking module, after the self-checking module receives the start monitoring information, parameters related to the monitoring module are obtained, the parameters are established to operate coefficients, whether the monitoring system can support monitoring work or not is judged according to the comparison result of the operating coefficients and the gradient threshold value, a management scheme is generated according to the judgment result, the judgment result is sent to the processing module, if the monitoring system supports the monitoring work, the processing module processes and analyzes the collected energy storage power station data, the processed and analyzed energy storage power station data is sent to the report generating module, the report generating module generates an energy consumption monitoring report through the energy storage power station data obtained through processing and analysis, the energy consumption monitoring report is sent to the optimizing module, and the optimizing module performs operation scheduling optimization according to the energy consumption monitoring report.
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