Research On Operation Evaluation And Optimization Of Power System For False Data Injection

As an indispensable infrastructure,the power grid is an indispensable part of the normal operation of a country and the normal life of residents.Therefore,it is essential to ensure the economy of power grid operation and the reliability of power supply.In recent years,with the rapid development of smart grids,the interaction between the information layer and the physical layer of the power system has become particularly frequent,and its typical characteristics have been very similar to the cyber physical system(CPS).Due to its own shortcomings on the information side of the CPS,it has become a breakthrough point for network attacks on the power system.The threat of network attacks on the power system has become more and more prominent,making the power grid security issue a focus of attention.false data injection(FDI)attack,as a kind of network attack,has become one of the main threats facing the operation of power systems in the future.Attackers can evade system detection and tamper with the original data of the system through carefully designed attack data,and mislead the dispatch center to make wrong decisions.However,research on defense against such attacks is still in the initial stage.Therefore,in the context of CPS,this article studies the defense and resilience improvement of power systems under FDI attacks.The specific work of this paper is as follows:First,it analyzes the research status of FDI attacks in the distribution network.Due to the flaws in the existing bad data detection based on residuals,the state estimation of the power system faces great risks.Based on this,FDI attacks inject false data into the Supervisory Control and Data Acquisition(SCADA)system to pollute the system measurement data,causing the state estimate of the power system’s original data to be maliciously modified,and then manipulate the power system dispatch center to produce errors Dispatch information to obtain economic benefits.Through the simulation of the improved IEEE 33-node system,the results show that the carefully constructed false data can successfully evade the residual detection to destroy the system,and have a profound impact on the system.Secondly,through in-depth research on FDI attacks,a multi-objective risk aversion optimization model is established for the loss of load demand(Lo LD)problem caused by FDI attacks.This model balances the cost of defense against FDI attacks,the operating cost of the power system,and the loss of load,and weighs the cost of the power system and the Lo LD risk,and obtains the optimal configuration of defense equipment.In addition,in order to solve the problem of the large amount of calculation in Monte Carlo sampling,this paper adopts the approximate Latin Hypercube Sampling(LHS)method to simulate and sample uncertain wind power,which reduces the computational burden.The simulation results of the improved IEEE30 node show that the multi-objective risk avoidance optimization model can not only reduce the defense and system operating costs,and reduce the Lo LD of the distribution network,but also improve the voltage distribution level and reduce the system network loss.Ensure the reliable power supply of the system.Finally,in response to the problem of reduced reliability of the distribution network caused by FDI attacks,a strategy to improve resilience against FDI attacks is proposed.The installation of security equipment and the addition of mobile energy storage systems(MESS)are adopted to minimize To reduce load loss and defense cost as the goal,a multi-objective optimization model that takes into account the ability to resist FDI attacks is proposed.On the basis of meeting the investment cost limit,this model improves the resilience of the power distribution system and ensures the reliability of power supply by optimizing the installation location of the safety equipment and the moving route of the MESS.In addition,in order to achieve the best charging and discharging strategy of MESS,the continuous function of Fourier-Legendre series expansion is used to simulate the state of energy(SOE)of energy storage,so as to more truly reflect the operating state of MESS.Numerical examples show that the combination of MESS and safety equipment can not only reduce the cost of the distribution network system,but also improve the reliability of the power supply of the system.