Frequency index equivalent-based evaluation method for frequency modulation parameters of energy storage equivalent synchronous machine

Abstract

The application discloses a frequency index equivalent-based energy storage equivalent synchronous machine frequency modulation parameter evaluation method, belongs to the equivalent frequency modulation capacity evaluation field of new energy station, and comprises the following steps: S1, establishing a nonlinear differential equation set of a synchronous generator unit and a new energy power system considering a dead zone link; S2, defining key parameters of the synchronous generator unit and key parameters of the new energy power system; S3, determining that the system average frequency change rate is a frequency response index equivalent target; S4, simulating; S5, constructing a three-dimensional curved surface; S6, searching for energy storage equivalent synchronous generator unit frequency modulation control parameters on the three-dimensional curved surface; and S7, outputting an energy storage frequency modulation capacity quantitative evaluation report. The frequency index equivalent-based energy storage equivalent synchronous machine frequency modulation parameter evaluation method has important guiding significance by using the known frequency modulation characteristics of the synchronous generator to inversely quantify the unknown frequency modulation capacity of the energy storage and considering nonlinear factors in actual operation.

Description

Technical Field

[0001] This invention relates to the field of equivalent frequency regulation capability assessment technology for new energy power plants, and in particular to a method for assessing the frequency regulation parameters of energy storage equivalent synchronous machines based on frequency index equivalence. Background Technology

[0002] Against the backdrop of the accelerating energy transition, the large-scale penetration of high-proportion renewable energy and high-proportion power electronic equipment (hereinafter referred to as "dual high") is profoundly reshaping the traditional form of the power system. This transformation directly leads to a continuous decline in the inertia level of the power system, which in turn causes a significant deterioration in the frequency change rate, posing a serious threat to the frequency stability of the power grid.

[0003] Against this backdrop, energy storage stations, with their millisecond-to-second rapid bidirectional power regulation advantages, have become a core flexible resource and key technological means to support the frequency stability of new power systems. By configuring additional frequency control strategies, energy storage stations can accurately simulate the key dynamic characteristics of synchronous power sources, proactively providing inertial response and primary frequency regulation support services, effectively mitigating the frequency security risks faced by "high-voltage and high-efficiency" power systems.

[0004] Currently, the additional frequency control of energy storage stations generally adopts a grid-following control mode. This mode dynamically adjusts the station's output power in real time based on the system frequency deviation or frequency change rate signal to simulate the dynamic response characteristics of synchronous power sources. However, there are significant differences from the idealized instantaneous response model. The power output of energy storage systems in actual operation is constrained by multiple complex factors: the switching dynamic characteristics of power electronic converters, the communication transmission delay of station-level control commands, the state of charge (SOC) management strategy of the battery itself, and the coordinated control logic of multiple energy storage units, all of which may lead to response delays and power limiting effects in the system.

[0005] Most existing research focuses on the steady-state performance evaluation of energy storage frequency regulation, while a complete quantitative analysis system has not yet been formed for the time-varying delay characteristics of energy storage systems in the dynamic response process and their impact mechanism on the transient frequency trajectory of the power system. Summary of the Invention

[0006] The purpose of this invention is to provide a method for evaluating the frequency regulation parameters of an equivalent synchronous machine for energy storage based on frequency index equivalence, thereby solving the aforementioned technical problems.

[0007] To achieve the above objectives, this invention provides a method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence, comprising the following steps: S1. Based on the target power grid structure, construct the frequency response model of the synchronous generator set and the frequency response model of the new energy power system including energy storage units, and establish nonlinear differential equation sets considering dead zone elements for the synchronous generator set and the new energy power system respectively. S2. Define the key parameters of synchronous generator sets and key parameters of new energy power systems. The key parameters of synchronous generator sets include the capacity ratio of synchronous generator sets, steam volume time constant, reheat coefficient of reheat turbine, reheat time constant of reheat turbine, dead zone setpoint, primary frequency regulation droop coefficient, and inertia time constant. The key parameters of new energy power systems include the power response delay of energy storage stations, virtual inertia frequency regulation control parameters, primary frequency regulation control parameters, control link signal transmission delay, and Laplace operator. S3. Based on the key parameters of the new energy power system defined in S2, and combined with the actual frequency regulation operation data of the energy storage unit, analyze the core parameters affecting the system frequency index, and determine the system average frequency change rate as the equivalent target of the frequency response index. S4. Based on the key parameters of the synchronous generator set defined in S2, set the range of values ​​for the primary frequency regulation coefficient and the inertial time constant of the synchronous generator set, and obtain the primary frequency regulation coefficient, the inertial time constant and the average frequency change rate of the system corresponding to each simulation through multiple model simulations. S5. Based on the simulation data in S4, a three-dimensional surface of the frequency regulation control parameters of the synchronous generator set and the average frequency change rate of the system is constructed using the interpolation calculation method. S6. Based on the principle of consistency between equivalent targets of frequency response index, find the primary frequency regulation droop coefficient and the inertial time constant of the synchronous generator set that match the average frequency change rate of the actual output on the three-dimensional surface constructed in S5, and regard the found primary frequency regulation droop coefficient and the inertial time constant of the synchronous generator set as the frequency regulation control parameters of the energy storage equivalent synchronous generator set. S7. Based on the frequency regulation control parameters of the energy storage equivalent synchronous generator obtained in S6, and combined with the typical power disturbance scenario of the target power grid, the frequency support capability of the energy storage unit is quantitatively evaluated by solving the nonlinear differential equation system established in S1 when facing power disturbances of different amplitudes, and a quantitative evaluation report of energy storage frequency regulation capability is output.

[0008] Preferably, the frequency response model of the synchronous generator set described in step S1 consists of a reference synchronous machine SG1 and a variable synchronous machine SG2; The frequency response model of a new energy power system including energy storage units consists of a reference synchronous machine SG1 and an energy storage station controlled by a grid-following GFL. Assuming that the steam volume time constant, reheat time constant, and reheat coefficient of the reheat turbine are the same for both the reference synchronous machine SG1 and the variable synchronous machine SG2, and defined as follows: , and ; At this point, the expression for the nonlinear differential equations of the synchronous generator set considering the dead zone is as follows: ; In the formula, and These are the output power deviation and the rate of change of the deviation of the synchronous generator set, respectively. and These represent the frequency deviation and the rate of change of deviation of the synchronous generator set, respectively. and These are the dead-time settings for the reference synchronizer SG1 and the variable synchronizer SG2, respectively. This represents the capacity percentage of the variable synchronization machine SG2; and These are the primary frequency regulation and droop coefficients for the reference synchronizer SG1 and the variable synchronizer SG2, respectively. and These are the valve opening deviation and the rate of change of deviation for the synchronous generator set; and These are the inertial time constants of the reference synchronizer SG1 and the variable synchronizer SG2, respectively. For system power disturbance; Dead-zone function; And exist , For system frequency deviation, ; Set a value for the dead zone. ; Assuming the energy storage station and the variable synchronous machine SG2 have the same dead zone setting value, both are... At this point, the nonlinear differential equations of the new energy system considering the dead zone are: ; in, ; In the formula, and These are the output power deviation and deviation change rate of the reference synchronizer SG1, respectively. and These are the frequency deviation and the rate of change of deviation of the new energy power system, respectively. and These are the valve opening deviation and deviation change rate of the reference synchronizer SG1, respectively; and These are the effective frequency deviation and the rate of change of deviation of the energy storage station, respectively. Delay for the energy storage control link; This refers to the output power deviation of the energy storage station; For virtual inertia frequency modulation control parameters of energy storage stations; These are the primary frequency regulation control parameters for energy storage stations; This refers to the capacity percentage of energy storage stations; For power response delay of energy storage stations; Delay for signal transmission at energy storage sites; For the Laplace operator.

[0009] Preferably, the system average frequency change rate described in step S3 The expression is as follows: ; In the formula, The time to reach the lowest frequency point; This represents the maximum frequency deviation.

[0010] Preferably, the expression for the three-dimensional surface described in step S5 is as follows: ; in, ; In the formula, This is the mapping function between the variable synchronizer SG2 and the system frequency index; For the first In this simulation, the primary frequency modulation and droop coefficient of the variable synchronous machine SG2; For the first In this simulation, the inertial time constant of the variable synchronizer SG2; For the first The average rate of change of the system frequency during the simulation; These are interpolation points in a three-dimensional surface; For interpolation points Matching interpolation.

[0011] Preferably, the expression for the principle of consistency between the equivalent target and the frequency response index mentioned in step S6 is as follows: ; In the formula, This is the mapping function between energy storage control parameters and system frequency indicators; For energy storage At that time, the average frequency change rate of the actual output of the new energy power system.

[0012] Therefore, the present invention employs the above-mentioned method for evaluating the frequency regulation parameters of an equivalent synchronous machine for energy storage based on frequency index equivalence, which has the following beneficial effects: The beneficial effects of this technical solution can be summarized in points based on dimensions such as model accuracy, quantitative evaluation, and engineering applicability: 1. Improve the engineering fit of the frequency response model: dead zone is introduced into both the synchronous machine and the model containing energy storage system, and the dynamic constraints of actual energy storage operation (control link delay, power electronic converter response delay, etc.) are taken into account to avoid the decoupling between the ideal model and the actual scenario, so as to make the frequency response simulation results more accurate and reliable. 2. Achieve quantitative evaluation of energy storage frequency regulation capability: Through the logic of "equivalence of system average frequency change rate", the energy storage frequency regulation capability is mapped to the well-known synchronous machine control parameters (inertia time constant, primary frequency regulation droop coefficient), which solves the problem of lack of quantitative indicators for energy storage frequency regulation effect in traditional methods; 3. Establish a unified frequency regulation capability assessment benchmark: Using the frequency regulation characteristics of traditional synchronous generator sets as the benchmark, the frequency support capability of energy storage can be directly compared with that of traditional synchronous generators, eliminating the differences between new energy storage and traditional power equipment in the evaluation dimensions of frequency regulation capability. 4. Guide the precise optimization of energy storage control parameters: Based on the equivalent synchronous machine parameters, the frequency regulation parameter specifications of traditional synchronous machines can be directly referenced to optimize the virtual inertia and primary frequency regulation droop coefficient of energy storage, giving full play to the rapid adjustment advantage of energy storage; 5. Enhance the rationality of grid frequency stability dispatch: After clarifying the equivalent synchronous machine frequency regulation level of energy storage, the dispatching department can more scientifically formulate frequency control strategies for the "traditional synchronous machine + energy storage" hybrid system to alleviate the system frequency security risks under the high proportion of renewable energy access; 6. Provide objective standards for the performance acceptance of energy storage projects: Quantified equivalent synchronous machine parameters can be used as acceptance indicators for the frequency regulation effect of energy storage sites, replacing traditional qualitative evaluation methods, making the performance evaluation of energy storage projects more objective and traceable.

[0013] In summary, this invention, based on the frequency response model of energy storage facilities participating in frequency regulation, evaluates the frequency regulation control parameters of energy storage facilities from the perspective of frequency index equivalence, utilizing the inertial time constant of the synchronous generator and the primary frequency regulation droop coefficient. This is of great significance for determining the equivalent synchronous generator level of energy storage facilities, guiding the setting of frequency regulation control parameters, and fully leveraging the frequency support capabilities of energy storage facilities.

[0014] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0015] Figure 1 This is a flowchart of the frequency regulation parameter evaluation method for energy storage equivalent synchronous machine based on frequency index equivalence as described in this invention. Figure 2 This is a three-dimensional surface representing the frequency regulation control effect of a synchronous generator set composed of a reference synchronizing machine SG1 and a variable synchronizing machine SG2, as described in this invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the embodiments of the present invention and are not intended to limit the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of this application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout.

[0017] It should be noted that the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, such as a process, method, system, product, or server that includes a series of steps or units, not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or device.

[0018] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0019] like Figure 1 As shown, the method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence includes the following steps: S1. Based on the target power grid structure, construct the frequency response model of the synchronous generator set and the frequency response model of the new energy power system including energy storage units, and establish nonlinear differential equation sets considering dead zone elements for the synchronous generator set and the new energy power system respectively. S2. Define the key parameters of synchronous generator sets and key parameters of new energy power systems. The key parameters of synchronous generator sets include the capacity ratio of synchronous generator sets, steam volume time constant, reheat coefficient of reheat turbine, reheat time constant of reheat turbine, dead zone setpoint, primary frequency regulation droop coefficient, and inertia time constant. The key parameters of new energy power systems include the power response delay of energy storage stations, virtual inertia frequency regulation control parameters, primary frequency regulation control parameters, control link signal transmission delay, and Laplace operator. S3. Based on the key parameters of the new energy power system defined in S2, and combined with the actual frequency regulation operation data of the energy storage unit, analyze the core parameters affecting the system frequency index, and determine the system average frequency change rate as the equivalent target of the frequency response index. S4. Based on the key parameters of the synchronous generator set defined in S2, set the range of values ​​for the primary frequency regulation coefficient and the inertial time constant of the synchronous generator set, and obtain the primary frequency regulation coefficient, the inertial time constant and the average frequency change rate of the system corresponding to each simulation through multiple model simulations. S5. Based on the simulation data in S4, a three-dimensional surface of the frequency regulation control parameters of the synchronous generator set and the average frequency change rate of the system is constructed using the interpolation calculation method. S6. Based on the principle of consistency between equivalent targets of frequency response index, find the primary frequency regulation droop coefficient and the inertial time constant of the synchronous generator set that match the average frequency change rate of the actual output on the three-dimensional surface constructed in S5, and regard the found primary frequency regulation droop coefficient and the inertial time constant of the synchronous generator set as the frequency regulation control parameters of the energy storage equivalent synchronous generator set. S7. Based on the frequency regulation control parameters of the energy storage equivalent synchronous generator obtained in S6, and combined with the typical power disturbance scenario of the target power grid, the frequency support capability of the energy storage unit is quantitatively evaluated by solving the nonlinear differential equation system established in S1 when facing power disturbances of different amplitudes, and a quantitative evaluation report of energy storage frequency regulation capability is output.

[0020] The frequency response model of the synchronous generator set described in step S1 consists of a reference synchronous machine SG1 and a variable synchronous machine SG2, which together simulate the frequency support characteristics of a traditional power system. The frequency response model of a new energy power system including energy storage units consists of a reference synchronous machine SG1 and an energy storage station controlled by a grid-following GFL. Assuming that the steam volume time constant, reheat time constant, and reheat coefficient of the reheat turbine are the same for both the reference synchronous machine SG1 and the variable synchronous machine SG2, and defined as follows: , and ; At this point, the expression for the nonlinear differential equations of the synchronous generator set considering the dead zone is as follows: ; In the formula, and These are the output power deviation and the rate of change of the deviation of the synchronous generator set, respectively. and These represent the frequency deviation and the rate of change of deviation of the synchronous generator set, respectively. and These are the dead-time settings for the reference synchronizer SG1 and the variable synchronizer SG2, respectively. This represents the capacity percentage of the variable synchronization machine SG2; and These are the primary frequency regulation and droop coefficients for the reference synchronizer SG1 and the variable synchronizer SG2, respectively. and These are the valve opening deviation and the rate of change of deviation for the synchronous generator set; and These are the inertial time constants of the reference synchronizer SG1 and the variable synchronizer SG2, respectively. For system power disturbance; Dead-zone function; And exist , For system frequency deviation, ; Set a value for the dead zone. ; Assuming the energy storage station and the variable synchronous machine SG2 have the same dead zone setting value, both are... At this point, the nonlinear differential equations of the new energy system considering the dead zone are: ; in, ; In the formula, and These are the output power deviation and deviation change rate of the reference synchronizer SG1, respectively. and These are the frequency deviation and the rate of change of deviation of the new energy power system, respectively. and These are the valve opening deviation and deviation change rate of the reference synchronizer SG1, respectively; and These are the effective frequency deviation and the rate of change of deviation of the energy storage station, respectively. Delay for the energy storage control link; This refers to the output power deviation of the energy storage station; For virtual inertia frequency modulation control parameters of energy storage stations; These are the primary frequency regulation control parameters for energy storage stations; This refers to the capacity percentage of energy storage stations; For power response delay of energy storage stations; Delay for signal transmission at energy storage sites; For the Laplace operator.

[0021] The system average frequency change rate described in step S3 The expression is as follows: ; In the formula, The time to reach the lowest frequency point; This represents the maximum frequency deviation.

[0022] Preferably, the expression for the three-dimensional surface described in step S5 is as follows: ; in, ; In the formula, This is the mapping function between the variable synchronizer SG2 and the system frequency index; For the first In this simulation, the primary frequency modulation and droop coefficient of the variable synchronous machine SG2; For the first In this simulation, the inertial time constant of the variable synchronizer SG2; For the first The average rate of change of the system frequency during the simulation; These are interpolation points in a three-dimensional surface; For interpolation points Matching interpolation.

[0023] The expression for the principle of consistency between the equivalent target and the frequency response index mentioned in step S6 is as follows: ; In the formula, This is the mapping function between energy storage control parameters and system frequency indicators; For energy storage At that time, the average frequency change rate of the actual output of the new energy power system.

[0024] Example In this embodiment, typical system parameters are shown in Table 1; Table 1 Typical Coefficients of the System

[0025] Based on the actual frequency regulation effect after the energy storage station participates in frequency regulation, the average frequency change rate of the system is obtained as the equivalent target for frequency regulation of the synchronous generator unit, and the primary frequency regulation droop coefficient of the variable synchronous generator SG2 is used. The range of values ​​is set to SG2 inertial time constant of variable synchronization machine The range of values ​​is set to Solving for the given information yields the following results: Figure 2 The three-dimensional surface shown represents the effect of frequency regulation control in a synchronous generator unit. Figure 2 In the diagram, the x and y axes represent the inertial time constants of the variable synchronization machine SG2, respectively. and adjustment coefficient The z-axis represents the frequency support index, namely the average frequency change rate. The target value is the average frequency change rate of the system after the energy storage station participates in frequency regulation. Figure 2 The corresponding variable synchronization machine SG2 inertial time constant can be obtained. and adjustment coefficient This enables the evaluation of frequency regulation control parameters for the equivalent synchronous machine of energy storage stations.

[0026] As can be seen from the embodiments, the method proposed in this invention can comprehensively consider the impact of additional frequency regulation control of energy storage sites on system frequency stability. By satisfying the constraint of the system's average frequency change rate, it is consistent with the actual frequency regulation effect of synchronous generators, which is of great significance for correctly evaluating the frequency support capability of energy storage sites.

[0027] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence, characterized in that: Includes the following steps: S1. Based on the target power grid structure, construct the frequency response model of the synchronous generator set and the frequency response model of the new energy power system including energy storage units, and establish nonlinear differential equation sets considering dead zone elements for the synchronous generator set and the new energy power system respectively. S2. Define the key parameters of synchronous generator sets and key parameters of new energy power systems. The key parameters of synchronous generator sets include the capacity ratio of synchronous generator sets, steam volume time constant, reheat coefficient of reheat turbine, reheat time constant of reheat turbine, dead zone setpoint, primary frequency regulation droop coefficient, and inertia time constant. The key parameters of new energy power systems include the power response delay of energy storage stations, virtual inertia frequency regulation control parameters, primary frequency regulation control parameters, control link signal transmission delay, and Laplace operator. S3. Based on the key parameters of the new energy power system defined in S2, and combined with the actual frequency regulation operation data of the energy storage unit, analyze the core parameters affecting the system frequency index, and determine the system average frequency change rate as the equivalent target of the frequency response index. S4. Based on the key parameters of the synchronous generator set defined in S2, set the range of values ​​for the primary frequency regulation coefficient and the inertial time constant of the synchronous generator set, and obtain the primary frequency regulation coefficient, the inertial time constant and the average frequency change rate of the system corresponding to each simulation through multiple model simulations. S5. Based on the simulation data in S4, a three-dimensional surface of the frequency regulation control parameters of the synchronous generator set and the average frequency change rate of the system is constructed using the interpolation calculation method. S6. Based on the principle of consistency between equivalent targets of frequency response index, find the primary frequency regulation droop coefficient and the inertial time constant of the synchronous generator set that match the average frequency change rate of the actual output on the three-dimensional surface constructed in S5, and regard the found primary frequency regulation droop coefficient and the inertial time constant of the synchronous generator set as the frequency regulation control parameters of the energy storage equivalent synchronous generator set. S7. Based on the frequency regulation control parameters of the energy storage equivalent synchronous generator obtained in S6, and combined with the typical power disturbance scenario of the target power grid, the frequency support capability of the energy storage unit is quantitatively evaluated by solving the nonlinear differential equation system established in S1 when facing power disturbances of different amplitudes, and a quantitative evaluation report of energy storage frequency regulation capability is output.

2. The method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence as described in claim 1, characterized in that: The frequency response model of the synchronous generator set described in step S1 consists of a reference synchronous machine SG1 and a variable synchronous machine SG2; The frequency response model of a new energy power system including energy storage units consists of a reference synchronous machine SG1 and an energy storage station controlled by a grid-following GFL. Assuming that the steam volume time constant, reheat time constant, and reheat coefficient of the reheat turbine are the same for both the reference synchronous machine SG1 and the variable synchronous machine SG2, and defined as follows: , and At this point, the expression for the nonlinear differential equations of the synchronous generator set considering the dead zone is as follows: ； In the formula, and These are the output power deviation and the rate of change of the deviation of the synchronous generator set, respectively. and These represent the frequency deviation and the rate of change of deviation of the synchronous generator set, respectively. and These are the dead-time settings for the reference synchronizer SG1 and the variable synchronizer SG2, respectively. This represents the capacity percentage of the variable synchronization machine SG2; and These are the primary frequency regulation and droop coefficients for the reference synchronizer SG1 and the variable synchronizer SG2, respectively. and These are the valve opening deviation and the rate of change of deviation for the synchronous generator set; and These are the inertial time constants of the reference synchronizer SG1 and the variable synchronizer SG2, respectively. For system power disturbance; Dead-zone function; And exist , For system frequency deviation, ; Set a value for the dead zone. ; Assuming the energy storage station and the variable synchronous machine SG2 have the same dead zone setting value, both are... At this point, the nonlinear differential equations of the new energy system considering the dead zone are: ； in, ； In the formula, and These are the output power deviation and deviation change rate of the reference synchronizer SG1, respectively. and These are the frequency deviation and the rate of change of deviation of the new energy power system, respectively. and These are the valve opening deviation and deviation change rate of the reference synchronizer SG1, respectively; and These are the effective frequency deviation and the rate of change of deviation of the energy storage station, respectively. Delay for the energy storage control link; This refers to the output power deviation of the energy storage station; For virtual inertia frequency modulation control parameters of energy storage stations; These are the primary frequency regulation control parameters for energy storage stations; This refers to the capacity percentage of energy storage stations; For power response delay of energy storage stations; Delay for signal transmission at energy storage sites; For the Laplace operator.

3. The method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence as described in claim 2, characterized in that: The system average frequency change rate described in step S3 The expression is as follows: ； In the formula, The time to reach the lowest frequency point; This represents the maximum frequency deviation.

4. The method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence as described in claim 3, characterized in that: The expression for the three-dimensional surface described in step S5 is as follows: ； in, ； In the formula, This is the mapping function between the variable synchronizer SG2 and the system frequency index; For the first In this simulation, the primary frequency modulation and droop coefficient of the variable synchronous machine SG2; For the first In this simulation, the inertial time constant of the variable synchronizer SG2; For the first The average rate of change of the system frequency during the simulation; These are interpolation points in a three-dimensional surface; For interpolation points Matching interpolation.

5. The method for evaluating the frequency regulation parameters of an energy storage equivalent synchronous machine based on frequency index equivalence as described in claim 4, characterized in that: The expression for the principle of consistency between the equivalent target and the frequency response index mentioned in step S6 is as follows: ； In the formula, This is the mapping function between energy storage control parameters and system frequency indicators; For energy storage At that time, the average frequency change rate of the actual output of the new energy power system.

Images