Active disturbance rejection control-based frequency fluctuation suppression method and system for grid‑connected wind power system, and medium

Abstract

An active disturbance rejection control-based frequency fluctuation suppression method for a grid‑connected wind power system, comprising: establishing a frequency dynamic response model of the grid‑connected wind power system incorporating a variable‑speed wind turbine; on the basis of the frequency dynamic response model of the grid‑connected wind power system, observing the real-time state of a system frequency deviation, estimating and compensating for a comprehensive disturbance of the system, and adjusting the active power output of the variable-speed wind turbine in real time to respond to a grid frequency variation; and monitoring an error between the system frequency deviation and a target frequency deviation in real time, and adjusting the active power output of the variable‑speed wind turbine.

Description

Methods, systems, and media for frequency fluctuation mitigation in wind power grid-connected power systems with self-disruption capability.

[0001] This application claims priority to Chinese Patent Application No. 202510212787.6, filed with the Chinese Patent Office on February 25, 2025, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of wind power grid connection technology, such as a method, system, and medium for suppressing frequency fluctuations in a wind power grid-connected power system with self-disruption capability. Background Technology

[0003] New energy power generation, represented by wind power, has developed rapidly due to its advantages of being clean, low-carbon, and efficient, and is gradually replacing traditional thermal power units, accelerating the transformation of my country's power system architecture towards a new type of power system dominated by new energy. As one of the most widely used models in the wind power industry, variable-speed wind turbines, through inverter grid connection, decouple the turbine rotor speed from the grid frequency, making them unable to respond to system frequency changes. Furthermore, variable-speed wind turbines typically operate in maximum power point tracking mode and lack active frequency regulation capabilities. In power systems with a high proportion of wind power connected to the grid, random changes in wind speed can cause significant fluctuations in wind power output, which, when transmitted to the grid side, may lead to the risk of system frequency exceeding limits. This can trigger over-frequency tripping, under-frequency load shedding, and other relay protection devices, potentially causing a grid-wide "frequency collapse."

[0004] Wind turbines enhance grid frequency regulation capabilities through virtual inertial control and energy storage-assisted control. However, when faced with significant frequency shifts caused by drastic wind power fluctuations, the high cost of energy storage equipment, the limited lifespan of its regulation output, and the complexity of its control strategies make it difficult to adjust the system frequency in real time based on wind power fluctuations, load demand, and the real-time grid status, thus increasing the burden on system frequency regulation. Furthermore, regarding grid frequency fluctuations caused by wind power uncertainty, the multivariable and nonlinear characteristics of wind turbine converter inputs and outputs, as well as the slow response of synchronous units, mean that simply calculating the frequency regulation power of variable-speed wind turbines by actually measuring frequency deviations is insufficient to quickly track random changes in wind power. This leads to poor wind turbine frequency regulation and inadequate utilization of rotor kinetic energy. Summary of the Invention

[0005] This application provides a method for suppressing frequency fluctuations in a wind power grid-connected power system with self-disruption capability, including:

[0006] Establish a frequency dynamic response model for a wind power grid-connected system containing variable-speed wind turbines;

[0007] Based on the frequency dynamic response model of the wind power grid connection system, the real-time state of the system frequency deviation is observed, the comprehensive disturbance of the system is estimated and compensated, and the active power output of the variable speed wind turbine is adjusted in real time to respond to the changes in grid frequency.

[0008] The error between the system frequency deviation and the target frequency deviation is monitored in real time, and the active power output of the variable speed wind turbine is adjusted accordingly.

[0009] In one embodiment, establishing the frequency dynamic response model of the wind power grid-connected system containing variable-speed wind turbines includes:

[0010] The rotor side of the variable-speed wind turbine adopts a typical power droop control structure to obtain the active power regulation increment when the wind turbine frequency is smoothed. With active power reference value for:

[0011] (1)

[0012] (2)

[0013] In the formula: K p =-1 / R is the fixed gain coefficient of the variable speed wind turbine using power droop control; For the measured frequency f of the AC system sys Frequency deviation from the reference frequency of 50Hz; P MPPT This refers to the active power output of the wind turbine in maximum power point tracking mode;

[0014] The system's frequency dynamic response model is characterized as follows:

[0015] (3)

[0016] Among them, P TSG This is a reference value for the active power of a traditional synchronous generator unit; P TSG0 This is the initial output of a traditional synchronous generator unit; Increase the power output of TSG frequency modulation; P dtb The power disturbance experienced by the system; P dtb0 This refers to the existing basic load of the system; Basic load surge; H sys D is the system's equivalent inertial time constant; sys This is the system's equivalent damping coefficient;

[0017] Under normal operating conditions, the active power output of traditional synchronous turbines and variable-speed wind turbines satisfies the power balance with the base load, as expressed by the following expression:

[0018] (4)

[0019] Linearizing the system's frequency dynamic response model yields:

[0020] (5)

[0021] Among them, D sys =D sys +K p The equivalent damping coefficient of a system containing variable speed wind turbines using power droop control.

[0022] In one embodiment, the step of observing the real-time state of the system frequency deviation based on the frequency dynamic response model of the wind power grid-connected system, estimating and compensating for the overall disturbance of the system, and adjusting the active power output of the variable speed wind turbine in real time to respond to changes in grid frequency includes:

[0023] A linear extended state observation algorithm is used to achieve real-time accurate estimation of disturbances and real-time tracking of system frequency deviations, allowing... With x as the state variable, according to the linearized system frequency dynamic response model, the state-space equation of the system frequency response model is:

[0024] (6)

[0025] Where F(x,E(t)) represents the comprehensive disturbance of the wind power grid-connected system; E(t) represents the external disturbance experienced by the entire system; b0 represents the non-zero disturbance compensation coefficient of the real-time estimate of the comprehensive disturbance of the system; u=u(t) and y=y(t) are the input and output of the system's control variables, respectively;

[0026] The variables in the state-space equation can be expressed as:

[0027] (7)

[0028] Based on the linear extended state observation algorithm, b0 is used to perform real-time compensation on u(t) and establish a real-time connection with the system, expressed by the following expression:

[0029] (8)

[0030] The extended observation of F(x,E(t)) is z2:

[0031] (9)

[0032] The nonlinear system involving wind power frequency regulation is linearized by disturbance dynamic compensation, resulting in the following state equation:

[0033] (10)

[0034] To enable the observation of system disturbances, the state space equation F(x,E(t)) is extended and represented by the state variable x2, resulting in the following state space expression:

[0035] (11)

[0036] Where x1 is x2 is the extended state variable of the system disturbance;

[0037] The output equations for the state observation mechanism and disturbance expansion compensation method in the linear extended state observation algorithm for wind power grid-connected power fluctuations are as follows:

[0038] (12)

[0039] Where z1 is the system's observed value of state variable x1; e is the deviation between the observed value of the state variable and the actual state of the system; η1 and η2 are the set control coefficients of the linear extended state observation algorithm, with η1 taking the value of 2 and η2 taking the value of 1.

[0040] Based on the system extended state observation design method of the output equation, the nonlinear system with wind power frequency regulation after linearization is subjected to disturbance dynamic compensation processing, and the resulting state equation is:

[0041] (13).

[0042] In one embodiment, adjusting the active power output of the variable-speed wind turbine based on the error between the real-time monitoring system frequency deviation and the target frequency deviation includes:

[0043] By using a linear error state feedback control algorithm to counteract the effects of disturbances, the rotor kinetic energy release of the variable-speed wind turbine is improved to follow the real-time frequency state of the system, causing x1 to tend towards The output of the linear error state feedback control algorithm is designed as follows:

[0044] (14)

[0045] Where η3 is the set control coefficient of the linear error state feedback control algorithm, η3=1 / 250h 2 Where h is the sampling step size, This represents the target frequency deviation.

[0046] Combining the linear extended state observation algorithm and the linear error state feedback control algorithm, the output expression for the active power regulation increment during wind turbine frequency smoothing is:

[0047] (15).

[0048] In one embodiment, b0 takes the value 1 / (2H) sys ).

[0049] In one embodiment, The value is 0.

[0050] This application provides a frequency fluctuation suppression system for wind power grid-connected power systems with self-disruption capability, comprising: a computer-readable storage medium and a processor;

[0051] The computer-readable storage medium is used to store executable instructions;

[0052] The processor is used to read executable instructions stored in the computer-readable storage medium and execute the self-disruption-resistant wind power grid-connected power system frequency fluctuation suppression method.

[0053] This application provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the aforementioned method for suppressing frequency fluctuations in a wind power grid-connected system with self-disruption capability. Attached Figure Description

[0054] Figure 1 is a flowchart illustrating a method for suppressing frequency fluctuations in a wind power grid-connected power system with self-disruption capability provided in an embodiment of this application.

[0055] Figure 2 is a diagram of a frequency fluctuation suppression control structure for a wind power grid-connected system with self-disruption capability provided in an embodiment of this application.

[0056] Figure 3 is a schematic diagram of a four-machine two-area system with wind power grid connection provided in an embodiment of this application;

[0057] Figure 4 is a schematic diagram of random wind speed variation provided in an embodiment of this application;

[0058] Figure 5 is a schematic diagram of system frequency variation under random wind speed and wind power penetration rate of 25% provided in an embodiment of this application;

[0059] Figure 6 is a schematic diagram of the active power output of a wind turbine under random wind speed and wind power penetration rate of 25% provided in an embodiment of this application.

[0060] Figure 7 is a schematic diagram of the probability distribution of system frequency deviation under random wind speed and wind power penetration rate of 25% provided in an embodiment of this application. Detailed Implementation

[0061] This application considers the multivariable and nonlinear characteristics of wind turbine converter input and output, as well as the slow response of synchronous units. It uses an active disturbance rejection control (ADRC) algorithm and an "observation + compensation" method to solve nonlinear and uncertain disturbances in the system. For frequency-sensitive mode scenarios, it proposes a system frequency fluctuation smoothing strategy based on ADRC, which improves the frequency stability of the power system under high wind power penetration.

[0062] This application has the following advantages over related technologies:

[0063] This application achieves real-time accurate observation of frequency deviation and estimation and compensation of comprehensive disturbances inside and outside the system. Based on feedforward control, it monitors the error between the system frequency deviation and the target reference frequency deviation in real time. Combining the two, a dual closed-loop control structure is formed, which can more effectively suppress unknown comprehensive disturbances in the system and ultimately offset the impact of disturbances on the frequency fluctuations of the wind power grid-connected system, thereby enhancing the disturbance suppression capability of the wind power grid-connected system.

[0064] Please refer to Figure 1. This invention provides a method for suppressing frequency fluctuations in a wind power grid-connected power system with self-disruption capability, comprising:

[0065] Step 1: Establish a frequency dynamic response model for a wind power grid-connected system containing variable-speed wind turbines;

[0066] Step 2: Based on the frequency dynamic response model of the wind power grid-connected system, observe the real-time state of the system frequency deviation, estimate and compensate for the comprehensive disturbance of the system, and adjust the active power output of the variable speed wind turbine in real time to respond to the changes in grid frequency.

[0067] Step 3: Monitor the error between the system frequency deviation and the target frequency deviation in real time, and adjust the active power output of the variable speed wind turbine. The above steps can smooth out the frequency fluctuations of wind power grid connection.

[0068] Step one, establishing a frequency dynamic response model for a wind power grid-connected system containing variable-speed wind turbines, includes:

[0069] The rotor side of the variable-speed wind turbine adopts a typical power droop control structure to obtain the active power regulation increment when the wind turbine frequency is smoothed. With active power reference value for:

[0070] (1)

[0071] (2)

[0072] Among them, K p =-1 / R is the fixed gain coefficient of the variable speed wind turbine using power droop control; For the measured frequency f of the AC system sysFrequency deviation from the reference frequency of 50Hz; The active power regulation increment of the wind turbine; P w This is a reference value for the active power of the wind turbine; P MPPT This refers to the active power output of the wind turbine in maximum power point tracking mode.

[0073] The system's frequency dynamic response model is characterized as follows:

[0074] (3)

[0075] In the formula: P TSG This is a reference value for the active power of a traditional synchronous generator unit; P TSG0 This is the initial output of a traditional synchronous generator unit; Increase the power output of TSG frequency modulation; P dtb The power disturbance experienced by the system; P dtb0 This refers to the existing basic load of the system; Basic load surge; H sys D is the system's equivalent inertial time constant; sys Let be the system's equivalent damping coefficient, where The black dots represent the time derivative. express The first derivative with respect to time.

[0076] Under normal operating conditions, the active power output of traditional synchronous turbines and variable-speed wind turbines satisfies the power balance with the base load, as expressed by the following expression:

[0077] (4)

[0078] Linearizing the system's frequency dynamic response model yields:

[0079] (5)

[0080] Among them, D sys =D sys +K p The equivalent damping coefficient of a system containing variable speed wind turbines using power droop control.

[0081] Step two, based on the frequency dynamic response model of the wind power grid-connected system, observes the real-time state of the system frequency deviation, estimates and compensates for the comprehensive disturbance of the system, and adjusts the active power output of the variable-speed wind turbine in real time to respond to changes in grid frequency, including:

[0082] By employing a linear extended state observation algorithm, real-time and accurate estimation of disturbances and real-time tracking of system frequency deviations are achieved. This allows for the detection of the presence and changes in disturbances, thereby better mitigating their impact on the frequency modulation process. With x as the state variable, according to the linearized system frequency dynamic response model, the state-space equation of the system frequency response model is:

[0083] (6)

[0084] Where F(x,E(t)) represents the comprehensive disturbance of the wind power grid-connected system; E(t) represents the external disturbance that the entire system may be subjected to; b0 is the non-zero disturbance compensation coefficient of the real-time estimate of the comprehensive disturbance of the system; u=u(t) and y=y(t) are the input and output of the control variables of the system, respectively. The comprehensive disturbance includes multiple unknown disturbances that the system may face, such as wind speed uncertainty, response speed of traditional synchronous generators, and changes in external load.

[0085] The variables in the state-space equation can be expressed as:

[0086] (7)

[0087] Based on the linear extended state observation algorithm, b0 is used to perform real-time compensation on u(t) and establish a real-time online connection with the system, expressed by the following expression:

[0088] (8)

[0089] The extended observation of F(x,E(t)) is z2:

[0090] (9)

[0091] The nonlinear system involving wind power frequency regulation is linearized by disturbance dynamic compensation, resulting in the following state equation:

[0092] (10)

[0093] To observe system disturbances, the state-space equation F(x,E(t)) is extended and represented by the state variable x2, resulting in the following state-space expression:

[0094] (11)

[0095] Where x1 is x2 is the extended state variable of the system disturbance.

[0096] To achieve control over state variables The output equations for the state observation mechanism and disturbance expansion compensation method in the linear extended state observation algorithm for smoothing wind power grid-connected power fluctuations, based on accurate and real-time observation of changes and the "observation + compensation" of system F(x,E(t)), are as follows:

[0097] (12)

[0098] Where z1 is the system's observed value of state variable x1; e is the deviation between the observed value of the state variable and the actual state of the system. η1 and η2 are the set control coefficients of the linear extended state observation algorithm, with η1 taking the value of 2 and η2 taking the value of 1;

[0099] Based on the system extended state observation design method of the output equation, the nonlinear system with wind power frequency regulation after linearization is subjected to disturbance dynamic compensation processing, and the resulting state equation is:

[0100] (13)

[0101] Step three involves real-time monitoring of the error between the system frequency deviation and the target frequency deviation, and further adjusting the active power output of the variable-speed wind turbine, including:

[0102] By using a linear error state feedback control algorithm to counteract the effects of disturbances, the rotor kinetic energy release of the variable-speed wind turbine is improved to follow the real-time frequency state of the system, thus smoothing out wind power fluctuations as much as possible and making x1 tend towards the The output of the linear error state feedback control algorithm is designed as follows:

[0103] (14)

[0104] Where η3 is the set control coefficient of the linear error state feedback control algorithm, η3=1 / 250h 2 Where h is the sampling step size, the value of which depends on the system control accuracy. The target frequency deviation is usually set to 0;

[0105] Combining the linear extended state observation algorithm and the linear error state feedback control algorithm, the output expression for the active power regulation increment during frequency smoothing of the designed wind turbine is as follows:

[0106] (15)

[0107] Here, b0 mainly achieves the compensation of system F(x,E(t)), and its setting is strongly related to the system's inertial time constant, that is, b0 can be taken as 1 / (2H). sys ).

[0108] This application employs the self-disturbance rejection (IDR) wind power grid-connected power system frequency fluctuation suppression control method shown in Figure 2, and conducts simulation analysis in the four-unit, two-area system with wind power grid connection shown in Figure 3. Figure 4 shows the impact of wind turbine active power output on system frequency variation characteristics under random continuous wind speed conditions with a low penetration rate of 25% and an average wind speed of 8.42 m / s, comparing four cases: wind turbine with the control of this application, variable gain droop control, traditional fixed gain droop control, and no frequency regulation control. In the case of no frequency regulation control, due to the decoupling relationship between the wind turbine speed and the system frequency, the active power output of the turbine cannot effectively respond to changes in the system frequency. The system mainly relies on traditional synchronous turbines to provide frequency support to the grid to suppress frequency fluctuations. At this time, random wind speed fluctuations will cause significant fluctuations in system frequency and wind turbine active power output, as shown in Figures 5 and 6. This application demonstrates excellent frequency regulation performance in the embodiments. When the wind turbine adopts this application, overclocking... and underfrequency Compared to maximum power point tracking, constant gain, and variable gain control, the efficiency is reduced by 67.26%, 27.73%, and 3.95%, and by 48.70%, 17.78%, and 26.37%, respectively. Furthermore, as shown in Figure 7, the probability of the steady-state frequency deviation of this application being concentrated in the ±0.1Hz range is greater than that of the other three control methods.

[0109] Another embodiment of this application provides a frequency fluctuation suppression system for wind power grid-connected power systems with self-disruption capability, comprising: a computer-readable storage medium and a processor;

[0110] The computer-readable storage medium is used to store executable instructions;

[0111] The processor is used to read executable instructions stored in the computer-readable storage medium and execute the self-disruption-resistant wind power grid-connected power system frequency fluctuation suppression method.

[0112] Another embodiment of this application provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the aforementioned method for suppressing frequency fluctuations in a wind power grid-connected system with self-disruption capability.

[0113] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more blocks of the flowchart illustrations and / or one or more blocks of the block diagrams.

[0115] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.

[0116] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.

Claims

1. A method for suppressing frequency fluctuations in a wind power grid-connected system with self-disruption capability, comprising the following steps: Establish a frequency dynamic response model for a wind power grid-connected system containing variable-speed wind turbines; Based on the frequency dynamic response model of the wind power grid connection system, the real-time state of the system frequency deviation is observed, the comprehensive disturbance of the system is estimated and compensated, and the active power output of the variable speed wind turbine is adjusted in real time to respond to the changes in grid frequency. The error between the system frequency deviation and the target frequency deviation is monitored in real time, and the active power output of the variable speed wind turbine is adjusted accordingly.

2. The frequency fluctuation suppression method for wind power grid-connected power systems with self-disruption capability as described in claim 1, wherein, The establishment of a frequency dynamic response model for a wind power grid-connected system containing variable-speed wind turbines includes: The rotor side of the variable-speed wind turbine adopts a typical power droop control structure to obtain the active power regulation increment when the wind turbine frequency is smoothed. With active power reference value for: (1) (2) In the formula: K p =-1 / R is the fixed gain coefficient of the variable speed wind turbine using power droop control; For the measured frequency f of the AC system sys Frequency deviation from the reference frequency of 50Hz; P MPPT This refers to the active power output of the wind turbine in maximum power point tracking mode; The frequency dynamic response model of the wind power grid-connected system is characterized as follows: (3) In the formula: P TSG This is a reference value for the active power of a traditional synchronous generator unit; P TSG0 This is the initial output of a traditional synchronous generator unit; Increase the power output of TSG frequency modulation; P dtb The power disturbance experienced by the system; P dtb0 This refers to the existing basic load of the system; Basic load surge; H sys D is the system's equivalent inertial time constant; sys This is the system's equivalent damping coefficient; Under normal operating conditions, the active power output of traditional synchronous turbines and variable-speed wind turbines satisfies the power balance with the base load, as expressed by the following expression: (4) The frequency dynamic response model of the wind power grid-connected system is linearized to obtain: (5) Among them, D sys =D sys +K p The equivalent damping coefficient of a system containing variable speed wind turbines using power droop control.

3. The frequency fluctuation suppression method for wind power grid-connected power systems with self-disruption capability as described in claim 2, wherein, The process of observing the real-time state of the system frequency deviation based on the wind power grid-connected system frequency dynamic response model, estimating and compensating for the system's overall disturbances, and adjusting the active power output of the variable-speed wind turbine in real time in response to grid frequency changes includes: A linear extended state observation algorithm is used to achieve real-time accurate estimation of disturbances and real-time tracking of system frequency deviations, allowing... With x as the state variable, according to the linearized system frequency dynamic response model, the state-space equation of the system frequency response model is: (6) Where F(x,E(t)) represents the comprehensive disturbance of the wind power grid-connected system; E(t) represents the external disturbance experienced by the entire system; b0 represents the non-zero disturbance compensation coefficient of the real-time estimate of the comprehensive disturbance of the system; u=u(t) and y=y(t) are the input and output of the system's control variables, respectively; The variables in the state-space equations are represented as follows: (7) Based on the linear extended state observation algorithm, b0 is used to perform real-time compensation on u(t) and establish a real-time connection with the system, expressed by the following expression: (8) The extended observation of F(x,E(t)) is z2: (9) The nonlinear system involving wind power frequency regulation is linearized by disturbance dynamic compensation, resulting in the following state equation: (10) To enable the observation of system disturbances, the state space equation F(x,E(t)) is extended and represented by the state variable x2, resulting in the following state space expression: (11) Where x1 is x2 is the extended state variable of the system disturbance; The output equations for the state observation mechanism and disturbance expansion compensation method in the linear extended state observation algorithm for wind power grid-connected power fluctuations are as follows: (12) Where z1 is the system's observed value of state variable x1; e is the deviation between the observed value of the state variable and the actual state of the system; η1 and η2 are the set control coefficients of the linear extended state observation algorithm, with η1 taking the value of 2 and η2 taking the value of 1. Based on the system extended state observation design method of the output equation, the nonlinear system with wind power frequency regulation after linearization is subjected to disturbance dynamic compensation processing, and the resulting state equation is: (13)。 4. The frequency fluctuation suppression method for wind power grid-connected power systems with self-disruption capability as described in claim 3, wherein, The error between the frequency deviation of the real-time monitoring system and the target frequency deviation is used to adjust the active power output of the variable speed wind turbine, including: The effects of disturbances are counteracted by a linear error state feedback control algorithm, causing x1 to tend towards The output of the linear error state feedback control algorithm is designed as follows: (14) Where η3 is the set control coefficient of the linear error state feedback control algorithm, η3=1 / 250h 2 Where h is the sampling step size, For target frequency deviation; Combining the linear extended state observation algorithm and the linear error state feedback control algorithm, the output expression for the active power regulation increment during wind turbine frequency smoothing is: (15)。 5. The frequency fluctuation suppression method for wind power grid-connected power systems with self-disruption capability as described in claim 4, wherein, The value of b0 is 1 / (2H) sys ).

6. The frequency fluctuation suppression method for wind power grid-connected power systems with self-disruption capability as described in claim 4, wherein, The target frequency deviation The value is 0.

7. A frequency fluctuation suppression system for wind power grid-connected systems with self-disruption capability, comprising: Computer-readable storage media and processors; The computer-readable storage medium is used to store executable instructions; The processor is used to read executable instructions stored in the computer-readable storage medium and execute the frequency fluctuation suppression method for wind power grid-connected power systems with self-disruption capability as described in any one of claims 1-6.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the frequency fluctuation smoothing method for wind power grid-connected power systems with self-disruption capability as described in any one of claims 1-6.

Images