CN-122000926-A - Spoofing attack-oriented load frequency sliding mode defense control method, spoofing attack-oriented load frequency sliding mode defense control device, computer equipment, readable storage medium and program product

CN122000926ACN 122000926 ACN122000926 ACN 122000926ACN-122000926-A

Abstract

The application relates to a load frequency sliding mode defense control method and device for spoofing attack, computer equipment, a computer readable storage medium and a computer program product, which are used for designing the technical field of power grid dispatching and improving the robustness of frequency adjustment. The method comprises the steps of determining a load frequency control model of the power system based on operation parameters, pulse interference characteristics and time-varying time delay characteristics of the power system, wherein the pulse interference characteristics are used for describing fraud attack behaviors in a cross-domain communication network, constructing an integral sliding mode surface containing system state integral terms based on the load frequency control model, determining a sliding mode control strategy aiming at time-delay influences corresponding to historical state deviation and the time-varying time delay characteristics under the condition that constraint conditions of Lyapunov stability criteria are met based on the load frequency control model and the integral sliding mode surface, and generating a frequency adjustment instruction aiming at the power system based on the sliding mode control strategy.

Inventors

ZHANG MIAO
ZHAO YANJUN
LI SHIJIE
HU CHAOHUI
HU YUFENG
WANG QI
LI WEIWEI
YU TINGWEN

Assignees

中国南方电网有限责任公司

Dates

Publication Date: 20260508
Application Date: 20251226

Claims (10)

1. The utility model provides a load frequency slipform defending control method facing fraud attack, which is characterized in that the method is applied to an electric power system, and comprises the following steps: Determining a load frequency control model of the power system based on pre-acquired operation parameters, pulse interference characteristics and time-varying delay characteristics of the power system, wherein the pulse interference characteristics are used for describing fraud attack in a cross-domain communication network; The system state integral term is used for accumulating historical state deviation, and the historical state deviation is determined based on sudden changes of the system state generated by the deception attack on the power system; Based on the load frequency control model and the integral sliding mode surface, under the condition that constraint conditions of Lyapunov stability criteria are met, determining a sliding mode control strategy for time lag influences corresponding to the historical state deviation and the time-varying time delay characteristic; Based on the sliding mode control strategy, a frequency adjustment instruction for the power system is generated.
2. The method of claim 1, wherein the power system comprises a generator, a governor, a turbine, and an energy storage unit, wherein the determining the load frequency control model of the power system based on pre-acquired operating parameters, pulse disturbance characteristics, and time-varying delay characteristics of the power system comprises: determining a state vector of the power system according to the operation parameters, wherein the state vector comprises frequency deviation, frequency preset value deviation, turbine valve position deviation, generator mechanical power deviation and energy storage unit output power deviation; Determining a continuous dynamic equation for the power system based on control inputs for the power system, the state vector, and the time-varying delay characteristic; determining an instant jump process of the power system based on pulse frequency and pulse intensity indicated by pulse interference characteristics, wherein the pulse frequency and the pulse intensity respectively meet preset pulse frequency conditions and pulse intensity conditions; And determining the load frequency control model based on the continuous dynamic equation and the transient jump process.
3. The method of claim 2, wherein constructing an integrated sliding mode surface containing system state integral terms based on the load frequency control model comprises: Determining a linear transformation term based on the state vector of the load frequency control model and a preset sliding mode control parameter; Determining system dynamic parameters and input coupling parameters of the power system based on the operation parameters, and determining target closed loop dynamic characteristics based on the system dynamic parameters, the input coupling parameters and state feedback gains, wherein the state feedback gains meet preset state feedback gain conditions; Determining a state integral term based on the target closed loop dynamic feature and the state vector; the integral-type slip-mode surface is determined based on the linear transformation term and the state integral term.
4. A method according to claim 3, wherein said determining a sliding mode control strategy for the historical state deviation and corresponding time-lapse effects of the time-varying delay feature based on the load frequency control model and the integrated sliding mode surface, in case constraints of lyapunov stability criteria are met, comprises: Determining an instantaneous trend of change of the integral slip-form surface based on the historical state deviation; Determining a time-lag deviation equation corresponding to the time-lag effect based on the instantaneous variation trend and a preset sliding mode control condition; Acquiring a first constraint condition of a Lyapunov stability criterion containing the state vector; And determining a sliding mode control strategy aiming at the time lag influence corresponding to the time-varying time delay characteristic under the condition that a first constraint condition is met based on the load frequency control model and the time lag deviation equation.
5. A method according to claim 3, wherein said determining a sliding mode control strategy for the historical state deviation and corresponding time-lapse effects of the time-varying delay feature based on the load frequency control model and the integrated sliding mode surface, in case constraints of lyapunov stability criteria are met, comprises: Acquiring a finite time meeting a preset control time condition; acquiring a second constraint condition comprising a lyapunov stability criterion of an integral sliding mode surface based on a finite time; And determining a sliding mode control strategy aiming at the time lag influence corresponding to the historical state deviation and the time-varying time delay characteristic under the condition that the second constraint condition is met based on the load frequency control model and the integral sliding mode surface.
6. The method of claim 5, wherein determining a slip mode control strategy for the historical state bias and corresponding time-lag effects of the time-varying delay feature based on the load frequency control model and the integrated slip mode face, if the second constraint condition is satisfied, comprises: Determining a reference state feedback control amount based on the state vector and the state feedback gain of the load frequency control model; Determining a time lag influence compensation gain based on the energy amplitude of the state vector under the time-varying time delay characteristic and a preset time lag boundary parameter; determining an adaptive slip-mode control amount based on the polarity direction of the historical state deviation and the time-lag-affected compensation gain; and determining a sliding mode control strategy corresponding to the limited time under the condition that the second constraint condition is met based on the reference state feedback control quantity and the self-adaptive sliding mode control quantity.
7. A spoofing attack-oriented load frequency sliding mode defense control device, the device comprising: The load frequency control model construction module is used for determining a load frequency control model of the power system based on the operation parameters, the pulse interference characteristics and the time-varying time delay characteristics of the power system, which are acquired in advance, wherein the pulse interference characteristics are used for describing fraud attack behaviors in a cross-domain communication network; The system state integral term is used for accumulating historical state deviation, and the historical state deviation is determined based on the deception attack behavior on the system state mutation generated by the power system; The sliding mode control strategy determining module is used for determining a sliding mode control strategy aiming at the time lag influence corresponding to the historical state deviation and the time-varying time delay characteristic under the condition that the constraint condition of the Lyapunov stability criterion is met based on the load frequency control model and the integral sliding mode surface; and the frequency adjustment instruction determining module is used for generating a frequency adjustment instruction for the power system based on the sliding mode control strategy.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

Description

Spoofing attack-oriented load frequency sliding mode defense control method, spoofing attack-oriented load frequency sliding mode defense control device, computer equipment, readable storage medium and program product Technical Field The application relates to the technical field of power grid dispatching, in particular to a load frequency sliding mode defense control method, a device, computer equipment, a computer readable storage medium and a computer program product for spoofing attack. Background With the advancement of multi-domain interconnection of power systems, load frequency control increasingly relies on networked communications. However, the open cross-domain communication environment poses a serious threat to spoofing attacks on the system, which often involve bursty pulse-like interference by tampering or falsifying the measured data. The traditional load frequency control method is generally based on the assumption that a measurement signal is true and reliable, is designed mainly aiming at conventional load disturbance, random noise or communication delay, and is difficult to tamper with such malicious data effectively. When being subjected to deception attack, the existing control strategy often cannot maintain the dynamic consistency of the system, and severe frequency fluctuation and even system instability are extremely easy to cause. Disclosure of Invention In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a computer readable storage medium, and a computer program product for controlling a load frequency sliding mode defense against spoofing attacks. In a first aspect, the present application provides a method for controlling defense of a load frequency sliding mode for fraud attack, including: Determining a load frequency control model of the power system based on pre-acquired operation parameters, pulse interference characteristics and time-varying delay characteristics of the power system, wherein the pulse interference characteristics are used for describing fraud attack in a cross-domain communication network; The system state integral term is used for accumulating historical state deviation, and the historical state deviation is determined based on sudden changes of the system state generated by the deception attack on the power system; Based on the load frequency control model and the integral sliding mode surface, under the condition that constraint conditions of Lyapunov stability criteria are met, determining a sliding mode control strategy for time lag influences corresponding to the historical state deviation and the time-varying time delay characteristic; Based on the sliding mode control strategy, a frequency adjustment instruction for the power system is generated. In one embodiment, the power system comprises a generator, a speed regulator, a steam turbine and an energy storage unit, wherein the determining the load frequency control model of the power system based on the pre-acquired operation parameters, pulse interference characteristics and time-varying delay characteristics of the power system comprises the following steps: determining a state vector of the power system according to the operation parameters, wherein the state vector comprises frequency deviation, frequency preset value deviation, turbine valve position deviation, generator mechanical power deviation and energy storage unit output power deviation; Determining a continuous dynamic equation for the power system based on control inputs for the power system, the state vector, and the time-varying delay characteristic; determining an instant jump process of the power system based on pulse frequency and pulse intensity indicated by pulse interference characteristics, wherein the pulse frequency and the pulse intensity respectively meet preset pulse frequency conditions and pulse intensity conditions; And determining the load frequency control model based on the continuous dynamic equation and the transient jump process. In one embodiment, the constructing an integral sliding mode surface including a system state integral term based on the load frequency control model includes: Determining a linear transformation term based on the state vector of the load frequency control model and a preset sliding mode control parameter; Determining system dynamic parameters and input coupling parameters of the power system based on the operation parameters, and determining target closed loop dynamic characteristics based on the system dynamic parameters, the input coupling parameters and state feedback gains, wherein the state feedback gains meet preset state feedback gain conditions; Determining a state integral term based on the target closed loop dynamic feature and the state vector; the integral-type slip-mode surface is determined based on the linear transformation term and the state integral term. In one embodiment, the determining, based on the load frequency control