A frequency control method and device of a power system and a storage medium

Abstract

The application discloses a frequency control method and device of a power system and a storage medium, and comprises the following steps: decomposing a regional control deviation signal of power grid feedback obtained based on a frequency division technology to obtain a high-frequency deviation signal and a low-frequency deviation signal; inputting the high-frequency deviation signal into a preset cluster new energy control center to obtain a power change amount; distributing the low-frequency deviation signal to a traditional unit adopting a model-free adaptive sliding mode control to obtain a power change amount; obtaining a system power disturbance change amount of the power system and combining the power change amounts of the cluster new energy control center and the traditional unit to obtain a system power change amount of the power system; obtaining a power system frequency change amount based on the system power change amount through a power system frequency characteristic transfer function; and performing frequency control on the power system based on the power system frequency change amount; and the application can improve the safety and stability of power grid operation.

Description

TECHNICAL FIELD

[0001] The present application relates to a frequency control method, device and storage medium of a power system, and belongs to the technical field of power system automation. BACKGROUND

[0002] With the continuous depletion of fossil energy and the increasingly stringent trend of carbon emission requirements, the power system dominated by conventional synchronous power sources is gradually evolving into a new type of power system dominated by non-synchronous power sources such as wind and light. The low-carbon transformation of energy structure makes new energy represented by wind power and photovoltaic power participate in the power generation side of the power system. However, the output power of wind power and photovoltaic power is strongly disturbed and uncertain due to the influence of weather and other objective environment, and the continuous improvement of new energy penetration rate brings unprecedented challenges to the safe and stable operation of the power system. Therefore, the research on the frequency safety and stability control strategy of the new type of power system is of great significance.

[0003] As one of the important indicators of power grid safety and stability, frequency directly reflects the safety and stability of power grid operation. Load frequency control is an effective strategy to reduce system frequency deviation and maintain system stability. Sliding mode algorithm is often used to design load frequency controller due to its non-sensitivity to disturbance, fast response speed and good robustness. However, the traditional sliding mode algorithm needs to be based on accurate mathematical model to design the controller, which cannot be applied to the complex multi-resource coordinated control of new type of power system. SUMMARY

[0004] The present application aims to overcome the shortcomings of the prior art and provide a frequency control method, device and storage medium of a power system to solve the technical problem that the traditional sliding mode algorithm cannot be applied to the complex multi-resource coordinated control of new type of power system and cannot guarantee the safety and stability of power grid operation.

[0005] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a frequency control method of a power system, comprising:

[0007] Based on the frequency division technology, the obtained regional control deviation signal of power grid feedback is decomposed to obtain high frequency deviation signal and low frequency deviation signal;

[0008] The high frequency deviation signal is connected to the preset cluster new energy control center to obtain power change;

[0009] The low frequency deviation signal is distributed to the traditional unit adopting model-free adaptive sliding mode control to obtain power change;

[0010] The system power disturbance change of the power system is obtained by combining the power change of the cluster new energy control center and the traditional unit to obtain the system power change of the power system.

[0011] The frequency change of the power system is obtained based on the change in system power through the power system frequency characteristic transfer function.

[0012] Frequency control of the power system is performed based on the frequency variation of the power system.

[0013] Optionally, the process of decomposing the acquired control deviation signal from the power grid feedback based on frequency division technology includes:

[0014] The regional control deviation signal fed back from the power grid is obtained through a PI controller and a frequency modulation signal is generated.

[0015] The frequency modulation signal ΔF i for:

[0016]

[0017] Among them, ACE i Let k be the control deviation signal for the i-th region of the power system. Ei For deviation signal ACE i The integral gain, where s is a complex frequency domain variable;

[0018] The frequency-modulated signal is decomposed into a low-frequency deviation signal and a high-frequency deviation signal by a low-pass filter;

[0019] The low-frequency deviation signal ΔF Lowi for:

[0020]

[0021] The high-frequency deviation signal ΔF Highi for:

[0022] ΔF Highi =ΔF i -ΔF Lowi

[0023] Among them, T LFP is the time constant of the low-pass filter.

[0024] Optionally, when i = 1, 2, the region control deviation signal is:

[0025]

[0026] Where ACE1 and ACE2 are the control deviation signals for the first and second regions of the power system, respectively, Δf1 and Δf2 are the frequency deviations for the first and second regions, respectively, and T... 12B1 and B2 are the tie-line power ratio coefficients for Region 1 and Region 2, respectively, and the frequency deviation coefficients for Region 1 and Region 2, respectively.

[0027] Optionally, the cluster new energy control center includes a wind power frequency control unit and a photovoltaic frequency control unit;

[0028] The power change ΔP of the wind power frequency control unit WINDi for:

[0029]

[0030] Where, k df T is the inertial response coefficient of wind power. ω Let k be the rotor inertial response time constant of the wind turbine. pf T is the primary frequency modulation coefficient. β Let ΔF be the pitch response time constant. Highi This refers to the high-frequency deviation signal of the i-th region of the power system.

[0031] The power change ΔP of the photovoltaic frequency control unit PVi for:

[0032] ΔP PVi =ΔF Highi ·[k pv ·(-sC b2 U dc0 )-H pv ·s]

[0033] Where, k pv C is the photovoltaic frequency regulation control coefficient. b2 For bipolar photovoltaic power generation unit capacitors, U dc0 H represents the initial value of the high-voltage DC voltage in the bipolar photovoltaic power generation system. pv Let be the virtual inertial time constant of the photovoltaic system.

[0034] Optionally, the conventional unit includes a thermal power unit, and the power change ΔP of the thermal power unit is... mi for:

[0035]

[0036] Among them, T ti Let T be the time constant of the generator sets in the i-th region of the power system. gi R is the time constant of the speed controller. i Δf is the droop coefficient. i For frequency deviation, u i This is a model-free adaptive sliding mode control law;

[0037] The model-free adaptive sliding mode control law ui for:

[0038]

[0039] in, For the system equivalent model X i The estimated value, c serves as the reference trajectory for the system output values. i e is a constant to be designed and is greater than zero. i k represents the tracking error of the system output. i ε i s is a nonnegative constant. i For the integral sliding surface model, sgn(·) is the sign function, α i It is a non-physical constant.

[0040] Optionally, the system power change ΔP of the power system i for:

[0041] ΔP i =ΔP mi -ΔP Li +ΔP WINDi +ΔP PVi

[0042] Where, ΔP mi ΔP represents the power change of a thermal power unit in a traditional generating unit. Li Let ΔP be the change in system power disturbance. WINDi ΔP represents the power change of the wind power frequency control unit in the cluster's new energy control center. PVi This refers to the power change of the photovoltaic frequency control unit in the cluster's new energy control center.

[0043] Optionally, the power system frequency variation Δf i for:

[0044]

[0045] Where, ΔP i Let M be the system power change in the i-th region of the power system. i D is twice the inertial constant of the i-th region in the power system. i Complex load damping in region i of the power system.

[0046] In a second aspect, the present invention provides a frequency control device for a power system, the device comprising:

[0047] The signal decomposition module is used to decompose the acquired regional control deviation signal from the power grid feedback into high-frequency deviation signal and low-frequency deviation signal based on frequency division technology.

[0048] A high-frequency signal access module is used to access the high-frequency deviation signal to a preset cluster new energy control center to obtain the power change.

[0049] The low-frequency signal access module is used to distribute the low-frequency deviation signal to a conventional unit using model-free adaptive sliding mode control to obtain the power change.

[0050] The total change acquisition module is used to acquire the system power disturbance change of the power system and combine it with the power change of the cluster new energy control center and traditional units to obtain the system power change of the power system.

[0051] The frequency change acquisition module is used to obtain the power system frequency change based on the system power change through the power system frequency characteristic transfer function.

[0052] The frequency control module is used to control the frequency of the power system based on the frequency changes of the power system.

[0053] Thirdly, the present invention provides a frequency control device for a power system, including a processor and a storage medium;

[0054] The storage medium is used to store instructions;

[0055] The processor is configured to operate according to the instructions to perform the steps of the method according to any of the foregoing.

[0056] Fourthly, a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of any of the methods described above.

[0057] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0058] The frequency control method, device, and storage medium for power systems provided in this invention classify and analyze regional deviation signals fed back from the power grid in different frequency bands, providing a technical reference for frequency security and stability analysis in different scenarios. The proposed cluster renewable energy frequency control center, combined with wind power and photovoltaic auxiliary frequency regulation, provides a technical reference for multi-resource frequency regulation in new power systems. The proposed model-free adaptive sliding mode control technology improves the robustness of renewable energy-assisted frequency regulation control, providing a technical reference for the research of frequency stability control strategies for new power systems. In summary, this ensures the safety and stability of power grid operation. Attached Figure Description

[0059] Figure 1 This is a flowchart of a frequency control method for a power system provided in an embodiment of the present invention;

[0060] Figure 2This is a schematic diagram of the frequency division process of the frequency division technology provided in the embodiments of the present invention;

[0061] Figure 3 This is a schematic diagram illustrating the acquisition of frequency changes in the first and second regions of a power system, provided in an embodiment of the present invention. Detailed Implementation

[0062] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0063] Example 1:

[0064] like Figure 1 As shown, this embodiment of the invention provides a frequency control method for a power system, comprising the following steps:

[0065] S1. Based on frequency division technology, the acquired regional control deviation signal from the power grid feedback is decomposed to obtain high-frequency deviation signal and low-frequency deviation signal;

[0066] Frequency division technology is a series control mode of a PI controller combined with a low-pass filter, and the controller parameters are set to specific preset values ​​under the new power system. The regional control deviation signal fed back from the power grid is used by the PI controller to generate a frequency modulation signal, which is then decomposed into a high-frequency deviation signal and a low-frequency deviation signal by the low-pass filter.

[0067] like Figure 2 As shown, the decomposition process includes:

[0068] S101. Obtain the regional control deviation signal from the power grid feedback through the PI controller and generate a frequency modulation signal;

[0069] Frequency modulation signal ΔF i for:

[0070]

[0071] Among them, ACE i Let k be the control deviation signal for the i-th region of the power system. Ei For deviation signal ACE i The integral gain, where s is a complex frequency domain variable;

[0072] S102. The frequency modulation signal is decomposed into a low-frequency deviation signal and a high-frequency deviation signal by a low-pass filter;

[0073] Low-frequency deviation signal ΔF Lowi for:

[0074]

[0075] High-frequency deviation signal ΔFHighi for:

[0076] ΔF Highi =ΔF i -ΔF Lowi (i = 1, 2, ... n)

[0077] Among them, T LFP is the time constant of the low-pass filter.

[0078] Specifically, taking i=1,2 as an example, the area control deviation signal is:

[0079]

[0080] Where ACE1 and ACE2 are the control deviation signals for region 1 and region 2, respectively, Δf1 and Δf2 are the frequency deviations for region 1 and region 2, respectively, and T... 12 B1 and B2 are the tie-line power ratio coefficients for Region 1 and Region 2, respectively, and the frequency deviation coefficients for Region 1 and Region 2, respectively.

[0081] S2. Connect the high-frequency deviation signal to the preset Cluster New Energy Frequency Control Center (CNEFCC) to obtain the power change.

[0082] In this embodiment, the cluster new energy control center includes a wind power frequency control unit and a photovoltaic frequency control unit;

[0083] Power variation ΔP of wind power frequency control unit for auxiliary frequency regulation WIND for:

[0084]

[0085] Where, k df T is the inertial response coefficient of wind power. ω Let k be the rotor inertial response time constant of the wind turbine. pf T is the primary frequency modulation coefficient. β Let ΔF be the pitch response time constant. Highi It is a high-frequency deviation signal;

[0086] The power change ΔP of the photovoltaic frequency control unit assisting frequency modulation PV for:

[0087] ΔP PV =ΔF Highi ·[k pv ·(-sC b2 U dc0 )-H pv ·s]

[0088] Where, k pv C is the photovoltaic frequency regulation control coefficient. b2 For bipolar photovoltaic power generation unit capacitors, U dc0 H represents the initial value of the high-voltage DC voltage in the bipolar photovoltaic power generation system. pv Let be the virtual inertial time constant of the photovoltaic system.

[0089] S3. Distribute the low-frequency deviation signal to a conventional unit using model-free adaptive sliding mode control to obtain the power change;

[0090] Low-frequency deviation signals are allocated to traditional units for frequency regulation, and traditional units use model-free adaptive sliding mode control. A model-free adaptive sliding mode load frequency controller (MFASMLFC) is used to improve the robustness of the control unit.

[0091] In this embodiment, the conventional unit includes a thermal power unit, and the power change ΔP of the thermal power unit is... mi for:

[0092]

[0093] Among them, T ti Let T be the time constant of the i-th generating unit in a thermal power plant. gi R is the time constant of the speed controller. i Δf is the droop coefficient. i For frequency deviation, u i This is a model-free adaptive sliding mode control law;

[0094] Model-free adaptive sliding mode control law u i for:

[0095]

[0096] in, For the system equivalent model X i The estimated value, c serves as the reference trajectory for the system output values. i e is a constant to be designed and is greater than zero. i k represents the tracking error of the system output. i ε i s is a nonnegative constant. i For the integral sliding surface model, sgn(·) is the sign function, α i It is a non-physical constant.

[0097] The model-free adaptive sliding mode load frequency controller utilizes a hyperlocal model to replace the two-domain system model. Based on this, the model-free controller is designed as follows:

[0098] For the input and output data of two regions (taking i = 1, 2 as an example), the local model is defined as follows:

[0099]

[0100] in, u is the derivative of the system frequency deviation. i For system input;

[0101] The system input, u, can be obtained from the definition of the local model, which is also the output of the model-free adaptive controller unit. i for:

[0102]

[0103] Model X i The estimated value for:

[0104]

[0105] in, for The estimated value is achieved through a differential control circuit and a low-pass filter;

[0106] Definition of estimation error:

[0107]

[0108] Tracking error definition:

[0109] e i =Δf i -Δf i * (i = 1, 2)

[0110] Define feedback controller u BACKi satisfy:

[0111]

[0112] in, For Δf i * The derivative;

[0113] The system input then satisfies:

[0114]

[0115] Substituting this condition into the estimated value, we get:

[0116]

[0117]

[0118] The feedback controller is designed as a sliding mode load frequency controller so that its steady-state value tends to zero.

[0119] Introduce state variables x1(t) and x2(t), and define the state variables as follows:

[0120]

[0121] Define the integral sliding surface model as follows:

[0122] s i =c i x1(t)+x2(t)

[0123] Among them, select c i This makes the error approach 0 on the sliding surface.

[0124] Then the model derivative satisfies:

[0125]

[0126] Selection Exponential Approach Law:

[0127]

[0128] Then the feedback controller satisfies:

[0129] u BACKi =c i e i +k i s i +ε i sgn(s i )

[0130] The final model-free adaptive sliding mode control law is:

[0131]

[0132] S4. Obtain the system power disturbance change of the power system and combine it with the power change of the cluster new energy control center and traditional units to obtain the system power change of the power system.

[0133] System power change ΔP i for:

[0134] ΔP i =ΔP mi -ΔP Li +ΔP WINDi +ΔPPVi

[0135] Where, ΔP mi ΔP represents the power change of a thermal power unit in a traditional generating unit. Li Let ΔP be the change in system power disturbance. WINDi ΔP represents the power change of the wind power frequency control unit in the cluster's new energy control center. PVi This refers to the power change of the photovoltaic frequency control unit in the cluster's new energy control center.

[0136] S5. Obtain the power system frequency change based on the system power change using the power system frequency characteristic transfer function;

[0137] Power system frequency change Δf i for:

[0138]

[0139] Where, ΔP i Let M be the system power change in the i-th region of the power system. i D is twice the inertial constant of the i-th region in the power system. i Complex load damping in region i of the power system.

[0140] For the two regions (taking i = 1, 2 as an example), the power changes are as follows:

[0141] ΔP1=ΔP m1 -ΔP L1 +ΔP WIND1 +ΔP PV1

[0142] ΔP2=ΔP m2 -ΔP L2 +ΔP WIND2 +ΔP PV2

[0143] The frequency changes are as follows:

[0144]

[0145] like Figure 3 As shown, the process of obtaining the frequency change when i = 1, 2 is given.

[0146] S6. Frequency control of the power system based on the frequency change of the power system.

[0147] Example 2:

[0148] This invention provides a frequency control device for a power system, the device comprising:

[0149] The signal decomposition module is used to decompose the acquired regional control deviation signal from the power grid feedback into high-frequency deviation signal and low-frequency deviation signal based on frequency division technology.

[0150] A high-frequency signal access module is used to access the high-frequency deviation signal to a preset cluster new energy control center to obtain the power change.

[0151] The low-frequency signal access module is used to distribute the low-frequency deviation signal to a conventional unit using model-free adaptive sliding mode control to obtain the power change.

[0152] The total change acquisition module is used to acquire the system power disturbance change of the power system and combine it with the power change of the cluster new energy control center and traditional units to obtain the system power change of the power system.

[0153] The frequency change acquisition module is used to obtain the power system frequency change based on the system power change through the power system frequency characteristic transfer function.

[0154] The frequency control module is used to control the frequency of the power system based on the frequency changes of the power system.

[0155] Example 3:

[0156] This invention provides a frequency control device for a power system, including a processor and a storage medium;

[0157] Storage media are used to store instructions;

[0158] The processor is used to operate according to instructions to perform the steps of the method according to Embodiment 1.

[0159] Example 4:

[0160] This invention provides a frequency control device for a power system, and a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the method described in Embodiment 1.

[0161] To reduce the controller's dependence on the system's mathematical model, model-free control technology has been widely applied. Current research indicates that model-free adaptive control can optimize the control flow even when it is difficult to establish an accurate mathematical model of the control unit. Therefore, combining model-free adaptive algorithms with sliding mode variable structure algorithms to achieve load frequency control using a novel power system hyperlocal model can ensure control accuracy, improve the robustness and anti-interference capability of the control model, and reduce the controller's dependence on the novel power system model, thus promoting the regulation and control of power system frequency.

[0162] 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.

[0163] 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, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0164] 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, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0165] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0166] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method of frequency control of an electric power system, characterized by, The method comprises: decomposing the obtained grid feedback control deviation signal based on frequency division technology to obtain a high-frequency deviation signal and a low-frequency deviation signal; inputting the high-frequency deviation signal into a preset cluster new energy control center to obtain a power change amount; allocating the low-frequency deviation signal to a traditional unit adopting model-free adaptive sliding mode control to obtain a power change amount; obtaining a system power disturbance change amount of the power system and combining the power change amounts of the cluster new energy control center and the traditional unit to obtain a system power change amount of the power system; obtaining a power system frequency change amount based on the system power change amount through a power system frequency characteristic transfer function; performing frequency control on the power system based on the power system frequency change amount.

2. A method of frequency control of an electric power system according to claim 1, characterized by, The processing and decomposition of the obtained grid feedback control deviation signal based on frequency division technology comprises: obtaining a regional control deviation signal of grid feedback through a PI controller and generating a frequency modulation signal; The frequency modulated signal ΔF i is: where ACE i is the i-th area control error signal of the power system, k Ei is the integral gain of the error signal ACE i s is a complex frequency variable; decomposing the frequency modulation signal into a low-frequency deviation signal and a high-frequency deviation signal through a low-pass filter; The low frequency deviation signal AF Lowi is: The high frequency deviation signal ΔF Highi is: ΔF Highi = ΔF i - ΔF Lowi where T LFP is the time constant of the low-pass filter.

3. A method of frequency control of an electric power system according to claim 2, characterized by, when i=1, 2, the regional control deviation signal is: Wherein, ACE1, ACE2 are the control deviation signals of the first and second regions of the power system, respectively, Δf1, Δf2 are the frequency deviations of the first and second regions, respectively, T 12 are the tie-line power proportionality coefficients of the first and second regions, B1, B2 are the frequency deviation coefficients of the first and second regions, respectively.

4. The method of claim 1, wherein, The cluster new energy control center comprises a wind power frequency control unit and a photovoltaic frequency control unit. The power variation ΔP of the wind power frequency control unit WINDi is: wherein k df is the wind power inertia response coefficient, T ω is the wind turbine rotor inertia response time constant, k pf is the primary frequency modulation coefficient, T β is the pitch response time constant, ΔF Highi is the high frequency deviation signal of the i-th region of the power system; The power variation ΔP of the photovoltaic frequency control unit PVi is: ΔP PVi = ΔF Highi · [k pv · (-sC b2 U dc0 )-H pv · s] Wherein, k pv is the photovoltaic frequency modulation control coefficient, C b2 is the bipolar photovoltaic power generation unit capacitor, U dc0 is the initial value of high-voltage direct-current voltage in the bipolar photovoltaic power generation system, H pv is the photovoltaic virtual inertia time constant.

5. The method of claim 1, wherein, The conventional generating unit includes a thermal power generating unit, and a power variation amount ΔP of the thermal power generating unit is: mi is: where T ti is the generator set time constant of the i-th region of the power system, T gi is the governor time constant, R i is the droop coefficient, Δf i is the frequency deviation, u i is the model-free adaptive sliding mode control law; ΔF Lowi is the low frequency deviation signal; The model-free adaptive sliding mode control law u i is: wherein, X is the equivalent everything model of the system i is the estimated value of the system, is the reference trajectory of the system output value, c i is a constant to be designed and is greater than zero, e i is the tracking error of the system output quantity, k i , ε i is a non-negative constant, s i is the integral sliding mode surface model, sgn(·) is the sign function, a i is a non-physical constant.

6. The method of frequency control of a power system as claimed in claim 1, wherein, The system power variation ΔP of the power system i is: ΔP i = ΔP mi - ΔP Li + ΔP WINDi + ΔP PVi wherein ΔP mi is the power variation of the thermal power unit in the conventional unit, ΔP Li is the system power disturbance variation, ΔP WINDi is the power variation of the wind power frequency control unit in the cluster new energy control center, and ΔP PVi is the power variation of the photovoltaic frequency control unit in the cluster new energy control center.

7. The method of frequency control of a power system as claimed in claim 1, wherein, The power system frequency variation amount Δf i is: where ΔP i is the system power variation of the i-th region in the power system, M i is the 2 times inertia constant of the i-th region in the power system, D i is the complex load damping of the i-th region in the power system.

8. A frequency control device for an electric power system, characterized by comprising: The device comprises: a signal decomposition module configured to decompose an obtained grid feedback regional control deviation signal based on frequency division technology to obtain a high-frequency deviation signal and a low-frequency deviation signal; a high-frequency signal input module configured to input the high-frequency deviation signal into a preset cluster new energy control center to obtain a power change amount; a low-frequency signal input module configured to allocate the low-frequency deviation signal to a traditional unit adopting model-free adaptive sliding mode control to obtain a power change amount; a total change amount obtaining module configured to obtain a system power disturbance change amount of the power system and combine the power change amounts of the cluster new energy control center and the traditional unit to obtain a system power change amount of the power system; a frequency change amount obtaining module configured to obtain a power system frequency change amount based on the system power change amount through a power system frequency characteristic transfer function; a frequency control module configured to perform frequency control on the power system based on the power system frequency change amount.

9. A frequency control device for an electric power system, characterized by comprising: The device comprises a processor and a storage medium. The storage medium is configured to store instructions. The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the steps of the method according to any one of claims 1-7.

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