CN-122000931-A - Simulation method and device for wind farm frequency modulation

CN122000931ACN 122000931 ACN122000931 ACN 122000931ACN-122000931-A

Abstract

The invention relates to the technical field of simulation, in particular to a simulation method and device for wind farm frequency modulation. The method comprises the steps of obtaining wind power plant frequency modulation simulation parameters with preset duration, wherein the frequency modulation simulation parameters comprise real-time air density, real-time wind speed, real-time angular speed of a generator, real-time angular speed of a wind wheel, real-time frequency of a power grid, energy storage real-time temperature, the number of nodes of the power grid and real-time voltage of an nth node, inputting the wind power plant frequency modulation simulation parameters into a preset multi-dimensional simulation model to perform simulation to obtain simulation results, wherein the simulation results are used for describing wind power plant frequency modulation characteristics, and the multi-dimensional simulation model comprises an organism group aggregation model, a coupling resource cooperative model and a power grid equivalent model. Therefore, the simulation precision of the wind power plant frequency modulation characteristic is improved.

Inventors

WANG BO
LI HUAN
ZHANG ZHIYONG
ZHANG PENGFEI
SU GUOWEI
ZHAO AQIN
YAN LIWEI
SHI ZHIHUA
FAN ZHIHUI
LIU ZHIQIANG

Assignees

华润新能源投资有限公司山西分公司

Dates

Publication Date: 20260508
Application Date: 20260206

Claims (10)

1. A simulation method for wind farm frequency modulation is characterized by comprising the following steps: Acquiring wind power plant frequency modulation simulation parameters with preset duration, wherein the frequency modulation simulation parameters comprise real-time air density, real-time wind speed, real-time angular speed of a generator, real-time angular speed of a wind wheel, real-time frequency of a power grid, real-time temperature of energy storage, the number of nodes of the power grid and real-time voltage of an nth node; Inputting the wind power plant frequency modulation simulation parameters into a preset multidimensional simulation model for simulation to obtain a simulation result, wherein the simulation result is used for describing wind power plant frequency modulation characteristics; The multi-dimensional simulation model comprises a group aggregation model, a coupling resource cooperative model and a power grid equivalent model, wherein the simulation result comprises a group equivalent output curve, a total control torque curve, a wind turbine real-time aerodynamic power, an energy storage real-time charge-discharge power curve, a state of charge evolution curve, a system dynamic equivalent inertia time constant curve and an equivalent load power time domain curve, the group aggregation model is used for simulating the wind turbine real-time aerodynamic power, the group equivalent output curve and the total control torque curve, the coupling resource cooperative model is used for simulating the energy storage real-time charge-discharge power curve and the state of charge evolution curve, and the power grid equivalent model is used for simulating the system dynamic equivalent inertia time constant curve and the equivalent load power time domain curve.
2. The method of claim 1, wherein the group aggregate model is constructed by the formula: in the formula, For real-time aerodynamic power of a wind turbine, For the said real-time air density, Is the radius of the wind wheel, For a time-varying wind energy capture coefficient, For the said real-time wind speed, Is the equivalent moment of inertia of the wind wheel side, For real-time aerodynamic torque of the wind turbine, Is the torsional rigidity coefficient of the transmission shaft, Is the lateral angular displacement of the wind wheel, For the angular displacement of the generator side, Is the wind wheel side damping coefficient, Is the real-time angular velocity of the wind wheel, Is the electromagnetic torque of the generator and is used for generating the electromagnetic torque, For the real-time angular velocity of the generator, For the generator-side equivalent moment of inertia, As the generator-side damping coefficient, For the total control torque profile to be described, As a dynamic virtual inertia coefficient, In order for the coefficient of dynamic sag to be a function of, For the rated frequency of the power grid, For the real-time frequency of the power grid, As a damping coefficient for the rate of change of power, For the output force increment of the unit group, For the equivalent output curve of the group, In order to initiate an equivalent force to be exerted, Is the first Dead zone power loss of the converter of the table fan, Is the voltage of a direct current bus of the converter, Is the first Dead zone equivalent current of the converter of the table fan, Is the first Typhoon power factor angle.
3. The method of claim 2, wherein the crew-grouping pattern further comprises the formula: in the formula, For an initial time-varying wind energy capture coefficient, In order to correct the tip speed ratio, For the pitch angle, Fitting coefficients for the first aerodynamic characteristics, Fitting coefficients for the second aerodynamic feature elements, Fitting coefficients for a third aerodynamic feature, Fitting coefficients for a fourth aerodynamic feature, Fitting coefficients for a fifth aerodynamic feature, Fitting coefficients for a sixth aerodynamic feature element, Fitting coefficients for a seventh aerodynamic feature element, For a dynamic tip speed ratio, For the correction coefficient of the wind speed change rate, As the reference virtual inertia coefficient, The function is activated for Sigmoid, Is the rated angular velocity of the wind wheel, As a reference sag factor, Is an equivalent output curve of a group of units, Rated equivalent output for the group.
4. The method of claim 2, wherein the real-time air density is verified by the following formula: in the formula, Is the air density in the standard state, For the altitude correction factor, For a real-time altitude deviation, For the temperature correction coefficient(s), Is the real-time ambient temperature deviation.
5. The method of claim 1, wherein the coupled resource collaboration model is constructed by the following formula: in the formula, For the stored energy real-time charge-discharge power curve, For the purpose of energy storage dynamic rated power, For the real-time frequency of the power grid, For the rated frequency of the power grid, For the maximum allowable frequency deviation to be the most, As the correction coefficient of the SOC (state of charge), For the purpose of energy storage and rated power, For the energy storage aging decay factor, For the energy storage temperature influence coefficient, For the stored energy real-time temperature, For the rated operating temperature of the stored energy, For the state of charge evolution curve, For the lower limit of the state of charge of the stored energy, For the stored state of charge intermediate value, For the upper limit of the state of charge of the stored energy, In order to store the initial state of charge of the energy, In order to achieve the real-time charge and discharge efficiency of energy storage, For the energy storage rated capacity, In order to achieve the self-discharge rate of the stored energy, In order to be able to take time, As a function of the integration time variable, And the energy is stored to charge and discharge power in real time.
6. The method of claim 1, wherein the grid equivalent model is constructed by the following formula: in the formula, For the dynamic equivalent inertia time constant curve of the system, m is the type number of the synchronous machine set, Is the inertial time constant of the i-th synchronous machine set, For the rated capacity of the i-th synchronous machine set, k is the type number of the distributed power supply, For a class j distributed power supply inertia time constant, For class j distributed power supply rated capacity, For the dynamic equivalent inertia of the wind farm, For the total rated capacity of the wind farm, For the group average virtual inertia coefficient, N is the number of nodes of the power grid, For the n-th node real-time voltage, For the impedance of the nth node, For the nth node power factor angle, As a time domain curve of the equivalent load power, For the dynamic damping coefficient of the system, For the real-time frequency of the power grid, For the rated frequency of the power grid, In order to randomly perturb the power, For the dynamic damping coefficient of the system, Is used as a reference damping coefficient of the system, Is a damping adjustment coefficient.
7. The method of claim 6, wherein the grid equivalent model further comprises the formula: in the formula, For the rated load power of the system, The effect coefficient is adjusted for the load frequency, For the purpose of regulating the effect coefficient of the load voltage, As the average voltage of the system is, For the rated voltage of the system, Is the frequency cross-coupling coefficient of the load voltage.
8. A wind farm frequency modulation simulation device, comprising: The wind power plant frequency modulation simulation system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is configured to acquire wind power plant frequency modulation simulation parameters with preset duration, and the frequency modulation simulation parameters comprise real-time air density, real-time wind speed, real-time angular speed of a generator, real-time angular speed of a wind wheel, real-time frequency of a power grid, real-time temperature of energy storage, the number of nodes of the power grid and real-time voltage of an nth node; the simulation unit is configured to input the wind power plant frequency modulation simulation parameters into a preset multi-dimensional simulation model to perform simulation to obtain a simulation result, wherein the simulation result is used for describing wind power plant frequency modulation characteristics; The multi-dimensional simulation model comprises a group aggregation model, a coupling resource cooperative model and a power grid equivalent model, wherein the simulation result comprises a group equivalent output curve, a total control torque curve, a wind turbine real-time aerodynamic power, an energy storage real-time charge-discharge power curve, a state of charge evolution curve, a system dynamic equivalent inertia time constant curve and an equivalent load power time domain curve, the group aggregation model is used for simulating the wind turbine real-time aerodynamic power, the group equivalent output curve and the total control torque curve, the coupling resource cooperative model is used for simulating the energy storage real-time charge-discharge power curve and the state of charge evolution curve, and the power grid equivalent model is used for simulating the system dynamic equivalent inertia time constant curve and the equivalent load power time domain curve.
9. An electronic device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the method of any of claims 1-7 when the computer program is executed.
10. A computer readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the method of any of claims 1-7.

Description

Simulation method and device for wind farm frequency modulation Technical Field The invention relates to the technical field of simulation, in particular to a simulation method and device for wind farm frequency modulation. Background With the continuous improvement of the wind power permeability, the influence of the randomness and the fluctuation of the wind power plant output on the frequency stability of the power grid is increasingly remarkable. The wind turbine generator is connected with the grid through the power electronic converter, the rotational inertia support of the traditional synchronous turbine generator is naturally lacking, the capacity of participating in grid frequency modulation is limited, the wind farm frequency modulation characteristic is described through a simulation technology, and the support is provided for frequency modulation strategy optimization and grid safety and stability analysis. The existing wind power plant frequency modulation simulation method has the defects that part of the method is only used for modeling a single wind power plant, the coherent characteristics and the aggregation effect of multiple wind power plants in the wind power plant are not considered, so that the simulation result and the actual scene have larger deviation, and part of the combined simulation method has the mechanical and electrical characteristics, but has high model complexity and low simulation efficiency. Based on the above, the invention provides a simulation method and device for wind farm frequency modulation to solve the technical problems. Disclosure of Invention The invention describes a simulation method and device for wind farm frequency modulation, which can improve simulation accuracy of wind farm frequency modulation characteristics. According to a first aspect, the invention provides a wind farm frequency modulation simulation method, which comprises the following steps: Acquiring wind power plant frequency modulation simulation parameters with preset duration, wherein the frequency modulation simulation parameters comprise real-time air density, real-time wind speed, real-time angular speed of a generator, real-time angular speed of a wind wheel, real-time frequency of a power grid, real-time temperature of energy storage, the number of nodes of the power grid and real-time voltage of an nth node; Inputting the wind power plant frequency modulation simulation parameters into a preset multidimensional simulation model for simulation to obtain a simulation result, wherein the simulation result is used for describing wind power plant frequency modulation characteristics; The multi-dimensional simulation model comprises a group aggregation model, a coupling resource cooperative model and a power grid equivalent model, wherein the simulation result comprises a group equivalent output curve, a total control torque curve, a wind turbine real-time aerodynamic power, an energy storage real-time charge-discharge power curve, a state of charge evolution curve, a system dynamic equivalent inertia time constant curve and an equivalent load power time domain curve, the group aggregation model is used for simulating the wind turbine real-time aerodynamic power, the group equivalent output curve and the total control torque curve, the coupling resource cooperative model is used for simulating the energy storage real-time charge-discharge power curve and the state of charge evolution curve, and the power grid equivalent model is used for simulating the system dynamic equivalent inertia time constant curve and the equivalent load power time domain curve. According to a second aspect, the invention provides a wind farm frequency modulation simulation device, comprising: The wind power plant frequency modulation simulation system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is configured to acquire wind power plant frequency modulation simulation parameters with preset duration, and the frequency modulation simulation parameters comprise real-time air density, real-time wind speed, real-time angular speed of a generator, real-time angular speed of a wind wheel, real-time frequency of a power grid, real-time temperature of energy storage, the number of nodes of the power grid and real-time voltage of an nth node; the simulation unit is configured to input the wind power plant frequency modulation simulation parameters into a preset multi-dimensional simulation model to perform simulation to obtain a simulation result, wherein the simulation result is used for describing wind power plant frequency modulation characteristics; The multi-dimensional simulation model comprises a group aggregation model, a coupling resource cooperative model and a power grid equivalent model, wherein the simulation result comprises a group equivalent output curve, a total control torque curve, a wind turbine real-time aerodynamic power, an energy storage real-time