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CN117559572A - Wind turbine generator set regulation and control method and system based on converter temperature rise change - Google Patents

Wind turbine generator set regulation and control method and system based on converter temperature rise change Download PDF

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CN117559572A
CN117559572A CN202311540142.2A CN202311540142A CN117559572A CN 117559572 A CN117559572 A CN 117559572A CN 202311540142 A CN202311540142 A CN 202311540142A CN 117559572 A CN117559572 A CN 117559572A
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wind turbine
converter
turbine generator
representing
power
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程雪婷
黄晟
郝捷
王金浩
胡帆
魏娟
赵金
芦耀辉
郑惠萍
刘新元
王玮茹
常泽洲
张谦
吴佳
李梓豪
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State Grid Electric Power Research Institute Of Sepc
Hunan University
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Hunan University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48Controlling the sharing of the in-phase component
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/50Controlling the sharing of the out-of-phase component
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects

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Abstract

The invention discloses a wind turbine generator set regulation and control method, a system, equipment and a medium based on converter temperature rise change, and relates to the technical field of wind power plant control, wherein the method comprises the following steps: establishing a correlation model of the temperature of the converter and the output power of the wind turbine generator; based on the correlation model, establishing an objective function according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power; under the condition of meeting the operation constraint of the wind turbine, solving the objective function by taking the minimized objective function as an optimization target to obtain an active power reference value and a reactive power reference value of the wind turbine; and regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value. The invention improves the health performance of the wind turbine generator.

Description

Wind turbine generator set regulation and control method and system based on converter temperature rise change
Technical Field
The invention relates to the technical field of wind farm control, in particular to a wind turbine generator set regulation and control method and system based on converter temperature rise change.
Background
Along with the continuous scale of wind power plants, the expansion of severe operating environments can lead to failure rate of wind turbines and high operation and maintenance cost thereof form a great challenge. The operation and maintenance costs are statistically about 25-30% of the total investment of the offshore wind farm, twice as much as in the onshore wind farm. Implementation regulation and control based on health conditions of wind turbines is important in improving reliability and economy of wind farms.
The research of the health condition of the wind turbine generator is usually carried out by adopting mechanism modeling or neural network modeling, but the methods have certain problems: the mechanism modeling needs an accurate model, the running condition of the unit is complex, and the unit is a complex electromechanical system with multiple parts coupled; neural networks are modeled by data mining, and are large in data volume, requiring high computational power and storage capacity, which limits their practical application to situations where real-time control is required.
Research on health conditions of wind turbines generally adopts mechanism modeling or neural network modeling, but these methods have certain problems: the mechanism modeling needs an accurate model, the running condition of the wind turbine generator is complex, the wind turbine generator is a complex electromechanical system with multiple components coupled, and in addition, an algorithm model of the power-health state correlation needs to be provided, and the algorithm model is further refined and integrated into the optimization problem; many training data, high computational and storage power requirements are required for neural networks modeling by data mining, and suffer from overfitting and long computational time challenges, which limit their practical application to situations requiring real-time control. More attention and research is required.
Disclosure of Invention
The invention aims to provide a wind turbine generator set regulation and control method and system based on converter temperature rise change, and the health performance of the wind turbine generator set is improved.
In order to achieve the above object, the present invention provides the following solutions:
a wind turbine generator set regulation and control method based on converter temperature rise change comprises the following steps:
establishing a correlation model of the temperature of the converter and the output power of the wind turbine generator;
based on the correlation model, establishing an objective function according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power;
under the condition of meeting the operation constraint of the wind turbine, solving the objective function by taking the minimized objective function as an optimization target to obtain an active power reference value and a reactive power reference value of the wind turbine;
and regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value.
Optionally, the association model is expressed as:
y E =C T Δx T +E 5
wherein y is E Indicating the temperature of the converter, C T 、Δx T 、E 5 、C 4 And C 5 Are all intermediate parameters, delta C w Delta Q representing active power of wind turbine generator w Representing the increment of reactive power of wind turbine generator, R th Representing the total thermal resistance of the converter, R IGBT The lead resistance of an insulated gate bipolar transistor in a converter is represented by T, the transposition is represented by U m,0 Value representing initial time of voltage of network-side converter, V con As an intermediate parameter, U sq,0 Indicating the value of the initial moment of the voltage of the machine side converter, I sq,0 A value indicating the initial time of the q-axis current of the machine side converter, I gq,0 A value indicating the initial time of q-axis current of the grid-side converter, I gd The d-axis current of the grid-side converter is shown.
Optionally, the objective function is expressed as:
where Obj represents the objective functionThe value of N p Indicating the total number of steps taken within the predicted time range, N w Represents the number of wind turbine generators in a wind farm, lambda T Represents a first weight coefficient, lambda V Represents a second weight coefficient, lambda P Represents a third weight coefficient, T n,i The temperature T of the wind turbine generator set i is represented e Indicating ambient temperature, V i (k) Representing the terminal voltage of the kth sampling step of wind turbine i,reference voltage, P, representing the kth sampling step of wind turbine i W,i (k) Active power representing the kth sampling step of wind turbine i, < >>The reference voltage of the kth sampling step of the wind turbine i is represented.
Optionally, the constraint condition of the objective function is expressed as:
wherein,representing a power reference value of the wind park, +.>Representing the maximum active power of the wind park, < +.>Reactive power representing the kth sampling step of wind turbine i, +.>Representing the maximum reactive power of the wind farm.
The invention also discloses a wind turbine generator system regulation and control system based on the temperature rise change of the converter, which comprises:
the association model building module is used for building an association model of the temperature of the converter and the output power of the wind turbine generator;
the objective function building module is used for building an objective function according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power based on the correlation model;
the solving module is used for solving the objective function by taking the minimized objective function as an optimization target under the condition of meeting the operation constraint of the wind turbine, so as to obtain an active power reference value and a reactive power reference value of the wind turbine;
and the regulation and control module is used for regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value.
The invention also discloses electronic equipment, which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic equipment to execute the wind turbine generator set regulation and control method based on the converter temperature rise change.
The invention also discloses a computer readable storage medium which stores a computer program, and the computer program realizes the wind turbine generator set regulation and control method based on the converter temperature rise change when being executed by a processor.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the method, an objective function is established according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power; under the condition of meeting the operation constraint of the wind turbine, the objective function is solved by taking the minimization of the objective function as an optimization target, and an active power reference value and a reactive power reference value of the wind turbine are obtained, so that the deviation between the temperature of a converter in the wind turbine and the ambient temperature is reduced as much as possible, and the health performance of the wind turbine is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a wind turbine generator set regulation and control method based on temperature rise change of a converter, which is provided by the embodiment of the invention;
FIG. 2 is a block diagram of a wind turbine regulation control provided by an embodiment of the invention;
fig. 3 is a schematic diagram of a topology structure of a wind farm according to an embodiment of the present invention;
FIG. 4 is a graph of wind speed of a wind turbine provided by an embodiment of the present invention;
FIG. 5 is a schematic diagram of active power output by a wind turbine generator according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of reactive power output by a wind turbine generator according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of terminal voltage of a wind turbine generator according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of power demand deviation of TSO and active power output by a wind farm according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a temperature trend of a wind turbine generator system converter according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a wind turbine generator system regulation and control system based on temperature rise change of a converter according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a wind turbine generator set regulation and control method and system based on converter temperature rise change, and the health performance of the wind turbine generator set is improved.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1
As shown in fig. 1, the wind turbine generator set regulation and control method based on the temperature rise change of the converter provided by the embodiment includes the following steps.
Step 101: and establishing a correlation model of the temperature of the converter and the output power of the wind turbine.
Step 102: and establishing an objective function according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power based on the correlation model.
Step 103: and under the condition of meeting the operation constraint of the wind turbine, solving the objective function by taking the minimized objective function as an optimization target to obtain an active power reference value and a reactive power reference value of the wind turbine.
Step 104: and regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value.
The regulation process is shown in FIG. 2, U, I and f in FIG. 2 sw Respectively refer to the voltage, current and switching frequency of the current transformer
The topology of the wind farm is shown in FIG. 3, WT 1 、WT 2 、WT 3 、WT 4 、WT 5 Is a wind turbine generator set on a line of feed lines of fans in the wind turbine generator set.
The process of establishing the association model in step 101 includes:
firstly, deducing the sensitivity relation between the wind turbine generator set terminal voltage and the wind turbine generator set output power, and establishing a linear model of the wind turbine generator set output power and the wind turbine generator set terminal voltage variation; and then, deducing the relation between the temperature of the converter and the current of the converter, and establishing a correlation model of the temperature of the converter and the output power according to the relation between the current of the converter and the output power of the wind turbine generator.
The method for calculating the sensitivity of the wind power plant comprises the following steps:
wherein V is wind farm voltage, θ is wind farm phase angle, p is wind farm active power, q is wind farm reactive power, deltaV is voltage increment, deltaθ is phase angle increment, deltap and Deltaq are active power and reactive power increment respectively.Are all sensitivity coefficients. The calculation formula of the sensitivity coefficient is:
wherein V is i Terminal voltage P of wind turbine generator system i W,j Representing the active power emitted by the wind turbine j, Q W,j Representing the reactive power emitted by the wind turbine j, re () represents the real part, lm () represents the imaginary part,the terminal voltage of the wind turbine generator i is represented,V i representation->Conjugation of N w The number of the wind turbines in the wind farm is the number of the wind turbines. The system sensitivity coefficient can be considered as a constant in the prediction step in steady state operation, considering that the control period of the method employed is of the order of seconds. The wind turbine generator terminal voltage is influenced by the output power of the wind turbine generator, and the following linear model can be adopted for prediction.
Wherein V is i (k) Terminal voltage V representing kth sampling step of wind turbine generator system i i,0 Terminal voltage V representing current moment of wind turbine generator system i i (k) Representing the predicted value, P, of the voltage of the i-terminal of the wind turbine generator at the next moment W,i Representing active power output by wind turbine generator system i and Q W,i Representing reactive power output by wind turbine generator system i, and delta P W,i (k) Active power increment, delta Q, representing the kth sampling step of wind turbine generator system i W,i (k) The reactive power increment of the kth sampling step of the wind turbine generator i is represented.
The temperature change of the converter is the main temperature change of the wind turbine generator, and the temperature health condition of the wind turbine generator can be monitored by observing the temperature change trend of the converter. To reduce the effect of an over-temperature fault, firstly, the relation between the converter loss and the converter current is deduced as follows:
the current transformer is composed of a transistor and a reverse diode, and the loss thereof can be divided into a switching loss and a conduction loss. The mechanical loss, copper consumption, iron consumption and various stray losses generated in the running process of the wind turbine generator are negligible.
Wherein,indicating converter losses, < >>Comprising the side converter (RSC) losses +.>And network side converter (GSC) losses->And->The current effective values of the grid-side converter and the machine-side converter are respectively represented; />And->Representing the effective values of the d-axis and q-axis currents of the GSC, respectively; />And->Representing the effective values of the d-axis and q-axis currents of RSC, respectively, wherein +.>
The above equation is a nonlinear function with high computational complexity. Taylor expansion with last sample time, i.e. [ I ] sq,0 ,I gq,0 ]The linearization can be achieved as:
wherein V is IGBT Representing the voltage across the collector and emitter of an Insulated Gate Bipolar Transistor (IGBT), E in a current transformer ON And E is OFF The switching-on loss and the switching-off loss of the IGBT are respectively; i C,nom Rated collector current for IGBT; f (f) sw Is the switching frequency; e (E) rr Is the turn-off loss of the reverse diode; r is R IGBT Is the lead resistance of IGBT, I sq,0 Represents the q-axis current of the machine side converter at the current moment, I gq,0 Representing q-axis electricity of current moment network side converterAnd (3) flow.
Delta in this embodiment represents the delta of the variable.
The converter-temperature model may be built as:
wherein T is n For the converter (current transformer) temperature, T e Is ambient temperature. Representing the total thermal resistance of the converter, where R thjC,T 、R thCH,T And R is thHA Representing the thermal resistance of the device junction to the housing, the housing to the heat sink and the heat sink to the external environment, respectively,/->The thermal resistance of the device junction to the housing is indicated because there are four layers of thermal resistance in total, with subscript i indicating which layer of thermal resistance. Thus, the converter temperature rise model may be built as:
wherein,V con as an intermediate parameter, deltaI gq Indicating the change quantity of q-axis current of the grid-side converter, delta I sq The amount of change in the q-axis current of the machine side current transformer is shown.
The state space equation for the converter temperature rise can be expressed as:
y E =C E Δx G +E 5
wherein y is E =T n ,Δx G =[ΔI sq ,ΔI gq ] T ,C E =[C 2 ,C 3 ] T
Wherein C is E 、Δx G 、E 5 、C 2 And C 3 Are all intermediate parameters.
The series of deductions described above determine the relation between the converter temperature rise and the converter current. Next, a correlation model of the wind turbine generator output power and the machine side and grid side converter currents is established.
The mathematical model of the machine side converter can be expressed as:
the spatial state equation can be expressed as:
wherein,
wherein,Δu P 、A P 、B P are all intermediate parameters, deltaP w Representing increment of active power of wind turbine generator, P w Representing active power of wind turbine generator system, delta P int Representation->And P W Integration of errors between>Representing the active power reference value of the wind park, < >>Indicating the active power reference increment of the wind park,/->、/>And->Proportional gain and integral gain of the PI controller; t (T) ip And T iq Are the time constants of the current loop; t (T) op And T oq Are all time constants of the filter loop, delta i sq Indicating the change of q-axis current of the machine side converter, U sq Representing the machine side converter voltage.
The mathematical model of the grid-side converter can be expressed as:
the spatial state equation can be expressed as:
wherein Deltax q =[ΔQ w ,ΔQ int ,Δi gq ] T
Wherein Deltax is q 、Δu q 、A q 、B q Are all intermediate parameters, deltaQ w Represents the increment of reactive power of the wind turbine generator, Q w Represents the active power of the wind turbine generator, delta Q int Representation ofAnd Q is equal to W Integration of errors between>Reactive power reference value representing a wind farm, +.>Indicating the increment of reactive power reference value of wind power plant, U m Representing the grid-side converter voltage, Δi gq The change in q-axis current of the grid-side current transformer is shown.
The mathematical models of the machine side converter and the grid side converter are combined, so that a matrix form of a state space equation of the wind turbine converter can be obtained:
wherein Deltax is w =[ΔP W ,ΔP int ,Δi sq ,ΔQ W ,Q int ,Δi gq ] T
Wherein Deltax is w 、Δu w 、A w And B w Are all the parameters in the middle of the method,represents +.1 at time k->Value, deltax w (k) Δx representing time k w Value Deltau w (k) Deltau representing time k w Values.
Combining a correlation model of the temperature of the converter and the current of the converter and a correlation model of the current of the converter and the output power of the wind turbine, the correlation model of the temperature of the converter and the output power of the wind turbine can be established as follows:
y E =C T Δx T +E 5
wherein y is E Indicating the temperature of the converter, C T 、Δx T 、E 5 、C 4 And C 5 Are all intermediate parameters, deltaP w Delta Q representing active power of wind turbine generator w Representing the increment of reactive power of wind turbine generator, R th Representing the total thermal resistance of the converter, R IGBT The lead resistance of an insulated gate bipolar transistor in a converter is represented by T, the transposition is represented by U m,0 Representing the voltage of the grid-side converter, V con As an intermediate parameter, U sq,0 Representing the side converter voltage, I sq,0 Indicating the current value of q-axis current of the machine side converter, I gq,0 Indicating the current value of q-axis current of the grid-side converter, I gd The d-axis current of the grid-side converter is shown. Subscript 0 indicates that the q-axis current is linearized.
The purpose of steps 102 to 104 is to solve the end electricity of the wind turbine generatorThe multi-objective optimization problems of voltage, power deviation, minimum converter temperature rise and the like are solved, and the optimal active power reference value P of the wind turbine generator is obtained WT Optimum reactive power reference value Q WT So as to regulate and control the wind turbine generator.
The embodiment optimizes the health condition of the wind turbine generator and obtains the best trade-off between the multiple objectives of the running performance and the health performance.
Converter temperature rise T n And ambient temperature T e And the deviation, the wind turbine generator set terminal voltage and the deviation between the output power and the reference power of the wind turbine generator set are set as minimum objective functions. The objective function of the real-time regulation and control method for the health condition of the wind turbine based on the temperature rise change of the converter is as follows:
where Obj represents the value of the objective function, N p Indicating the total number of steps taken within the predicted time range, N w Represents the number of wind turbine generators in a wind farm, lambda T Represents a first weight coefficient, lambda V Represents a second weight coefficient, lambda P Represents a third weight coefficient, T n,i The temperature T of the wind turbine generator set i is represented e Indicating ambient temperature, V i (k) Representing the terminal voltage of the kth sampling step of wind turbine i,reference voltage, P, representing the kth sampling step of wind turbine i W,i (k) Active power representing the kth sampling step of wind turbine i, < >>The reference voltage of the kth sampling step of the wind turbine i is represented.
And (5) constraint conditions of the objective function, namely operation constraint of the wind turbine. The constraint condition of the objective function includes that the output power of the wind power plant meets the requirements of an external power grid, and the power emitted by each fan cannot exceed the maximum power of the wind turbine generator.
The constraint condition of the objective function is expressed as:
wherein,representing a power reference value of the wind park, +.>Representing the maximum active power (maximum available power) of the wind park +.>Reactive power representing the kth sampling step of wind turbine i, +.>Representing the maximum reactive power of the wind power plant, N p =T p /T s ,T p To predict the time range, T s Is the sampling period.
The real-time regulation and control method for the health condition of the wind turbine based on the temperature rise change of the converter comprises the following steps:
and establishing a converter temperature rise model and a voltage and power correlation model to obtain a state space equation of the wind turbine generator.
Establishing a space state equation of the wind turbine generator: defining the state variable deltax and the control variable deltau of the whole wind turbine, and the output quantity deltay as follows:
wherein V represents the wind turbine generator set terminal voltage.
According to the converter temperature rise model and the correlation model of voltage and power, a state space equation of the wind turbine generator is obtained:
wherein,
wherein Δy w 、C w 、E w Are all intermediate parameters, V 0 And (5) representing the initial value of the terminal voltage of the wind turbine.
Establishing a space state equation of the wind power plant:
for having N W ={1,2,....,N W A continuous state space equation for a wind farm, may be described as:
Δy=CΔx+E
wherein,
Δx W,i representing the state variable, deltau, of a wind turbine generator system i W,i Representing the control variable, deltay, of a wind turbine generator system i W,i Representing the output quantity of the wind turbine generator system i, A w,i 、B w,i 、C w,i And E is w,i Are space state equations of the wind turbine generator set i, and the value range of i is 1 to N W
Setting a sampling time DeltaT s The discrete time state space model is derived as:
wherein:Cd=C,Ed=E。
under the condition that the operation performance of the wind turbine generator is met, including keeping the bus voltage of the wind turbine generator within a preset range and meeting the power requirement of an external power grid, the converter temperature of the wind turbine generator is reduced as much as possible, and the health performance of the wind turbine generator is improved. According to the terminal voltage, output power and transmission system operator (Transmission System Operator, TSO) power demand deviation and converter temperature of the wind turbine generator, obtaining an optimal active power reference value P of the wind turbine generator by solving an optimization problem WT Optimum reactive power reference value Q WT So as to regulate and control the wind turbine generator.
As shown in fig. 4, for the wind speed of the wind turbine generator set of the present invention, for the changed wind speed, the wind farm adopts an MPPT power generation strategy, and the active power reference value of the wind farm is set according to the power requirement of the TSO and in a proportional distribution manner. The change of the output power of the wind turbine can lead to the change of the voltage of the wind turbine and the change of the temperature of the converter. And obtaining the optimal reference power of the wind turbine generator by solving the optimization problem. Fig. 5 and 6 show the output power of five representative wind turbines in a wind farm, and fig. 7 shows the wind turbine terminal voltage. FIG. 8 illustrates the power requirements of wind farm output active power versus TSO. By adopting a dynamic weight coefficient strategy, when the active power output of the wind power plant is less, the weight coefficient following the instruction is larger, and the output active power can well follow the active power reference value. Along with the increase of the output active power, the weight coefficient of the following instruction is reduced, and a part of active power following is abandoned to ensure the health condition of the wind turbine generator.
As shown in fig. 9, the temperatures of five typical wind turbine generators obtained after the implementation of the present invention are shown.
The method establishes a correlation model of wind turbine generator set terminal voltage and converter temperature and wind turbine generator set output power. Under the condition that the operation performance of the wind turbine generator is met, including keeping the bus voltage of the wind turbine generator within a preset range and meeting the power requirement of an external power grid, the converter temperature of the wind turbine generator is reduced as much as possible, and the health performance of the wind turbine generator is improved. According to the terminal voltage, output power, TSO power demand deviation and converter temperature of the wind turbine generator, obtaining an optimal active power reference value P of the wind turbine generator by solving an optimization problem WT Optimum reactive power reference value Q WT So as to regulate and control the wind turbine generator.
Example 2
As shown in fig. 10, the wind turbine generator system regulation and control system based on temperature rise change of a converter provided in this embodiment includes:
the association model establishing module 201 is used for establishing an association model of the converter temperature and the output power of the wind turbine generator;
the objective function establishing module 202 is configured to establish an objective function according to the deviation between the converter temperature and the ambient temperature, the deviation between the wind turbine generator terminal voltage and the reference voltage, and the deviation between the wind turbine generator output power and the reference power, based on the correlation model;
the solving module 203 is configured to solve the objective function with the minimized objective function as an optimization objective under the condition of meeting the operation constraint of the wind turbine, so as to obtain an active power reference value and a reactive power reference value of the wind turbine;
and the regulation and control module 204 is used for regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value.
Example 3
The electronic device provided by the embodiment includes a memory and a processor, where the memory is configured to store a computer program, and the processor runs the computer program to enable the electronic device to execute the wind turbine generator set regulation and control method based on the converter temperature rise change described in the embodiment 1.
The present embodiment also provides a computer readable storage medium storing a computer program, which when executed by a processor, implements the wind turbine control method based on the converter temperature rise variation as described in embodiment 1.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.

Claims (7)

1. A wind turbine generator system regulation and control method based on converter temperature rise change is characterized by comprising the following steps:
establishing a correlation model of the temperature of the converter and the output power of the wind turbine generator;
based on the correlation model, establishing an objective function according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power;
under the condition of meeting the operation constraint of the wind turbine, solving the objective function by taking the minimized objective function as an optimization target to obtain an active power reference value and a reactive power reference value of the wind turbine;
and regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value.
2. The method for regulating and controlling a wind turbine generator based on temperature rise change of a converter according to claim 1, wherein the association model is expressed as:
y E =C T Δx T +E 5
Δx T =[ΔP w ,ΔQ w ] T ;C T =[C 4 ,C 5 ] T
wherein y is E Indicating the temperature of the converter, C T 、Δx T 、E 5 、C 4 And C 5 Are all intermediate parameters, deltaP w Delta Q representing active power of wind turbine generator w Representing the increment of reactive power of wind turbine generator, R th Representing the total thermal resistance of the converter, R IGBT The lead resistance of an insulated gate bipolar transistor in a converter is represented by T, the transposition is represented by U m,0 Value representing initial time of voltage of network-side converter, V con As an intermediate parameter, U sq,0 Indicating the value of the initial moment of the voltage of the machine side converter, I sq,0 A value indicating the initial time of the q-axis current of the machine side converter, I gq,0 A value indicating the initial time of q-axis current of the grid-side converter, I gd The d-axis current of the grid-side converter is shown.
3. The method for regulating and controlling a wind turbine generator based on temperature rise change of a converter according to claim 1, wherein the objective function is expressed as:
where Obj represents the value of the objective function, N p Representation ofPredicting total number of steps taken in a time frame, N w Represents the number of wind turbine generators in a wind farm, lambda T Represents a first weight coefficient, lambda V Represents a second weight coefficient, lambda P Represents a third weight coefficient, T n,i The temperature T of the wind turbine generator set i is represented e Indicating ambient temperature, V i (k) Representing the terminal voltage of the kth sampling step of wind turbine i,reference voltage, P, representing the kth sampling step of wind turbine i W,i (k) Active power representing the kth sampling step of wind turbine i, < >>The reference voltage of the kth sampling step of the wind turbine i is represented.
4. The method for regulating and controlling a wind turbine generator based on temperature rise change of a converter according to claim 3, wherein the constraint condition of the objective function is expressed as:
wherein,representing a power reference value of the wind park, +.>Representing the maximum active power of the wind park, < +.>Reactive power representing the kth sampling step of wind turbine i, +.>Representing the maximum reactive power of the wind farm.
5. Wind turbine generator system regulation and control system based on converter temperature rise change, characterized by comprising:
the association model building module is used for building an association model of the temperature of the converter and the output power of the wind turbine generator;
the objective function building module is used for building an objective function according to the deviation between the temperature of the converter and the ambient temperature, the deviation between the end voltage of the wind turbine and the reference voltage, and the deviation between the output power of the wind turbine and the reference power based on the correlation model;
the solving module is used for solving the objective function by taking the minimized objective function as an optimization target under the condition of meeting the operation constraint of the wind turbine, so as to obtain an active power reference value and a reactive power reference value of the wind turbine;
and the regulation and control module is used for regulating and controlling the wind turbine by adopting the active power reference value and the reactive power reference value.
6. An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the method of regulating a wind turbine based on a change in temperature rise of a converter according to any one of claims 1 to 5.
7. A computer-readable storage medium, characterized in that it stores a computer program, which when executed by a processor, implements the converter temperature rise variation-based wind turbine regulation method according to any one of claims 1 to 5.
CN202311540142.2A 2023-11-20 2023-11-20 Wind turbine generator set regulation and control method and system based on converter temperature rise change Pending CN117559572A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118316129A (en) * 2024-06-12 2024-07-09 湖南大学 Power scheduling method, system and medium based on health condition of wind turbine generator

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118316129A (en) * 2024-06-12 2024-07-09 湖南大学 Power scheduling method, system and medium based on health condition of wind turbine generator

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