Research On Defensive Strategy Of Real-time Price Attack Based On Zero-determinant

The Smart Grid(SG)is an comprehensive Cyber-Physical System(CPS)that integrates sensing,communication,calculation,decision and control into a traditional grid.One of its important characteristics is the two-way interaction between the information of power generation and power utilization,this feature has brought many security risks to the SG while improving the economic benefits of the Electricity Suppliers(ES)and power consumers.Among them,Real-Time Price Attack(RTPA)is a new type of false data injection attack on the power consumption side in recent years,it intercepts and falsifies the real-time price information between ES and power consumers,and increase the total load demand of power consumers,destroy the supply and demand balance of electric energy,and then form a cascading failure.Since the power consumption side of SG is a complex and less secure environment,attackers can implement RTPA at a lower attack cost.However,the zero-determinant strategy is a new iterated prisoner’s dilemma game strategy that can ignore the behavioral strategies of other game players and dominate the total revenue of game in the game process,and it still has a higher game benefit in a complex environment.Therefore,researching on defensive strategy of real-time price attack based on zero-determinant that can effectively prevent the real-time price attack.It is of great significance to construct a stable power system and realize the balance of supply and demand of electric energy.The main work of this paper is as follows:This paper proposes a defensive strategy of real-time price attack based on zero-determinant.First,consider the two-way interactive relationship between ES and power consumers,and define the behavioral characteristics of RTPA and Home Energy Management System(HEMS).Secondly,based on the elastic relationship between load demand of power consumers and real-time price,established a price elasticity of electricity demand model under RTPA,analyzed the impact of RTPA on the load demand of power consumers when RTPA and HEMS are in different behavioral states in a single period of time.Finally,proposed a defensive strategy based on zero-determinant and obtain the probabilities of HEMS taking various behavioral states,and analyzed the impact of RTPA on the expected load demand of power consumers.This paper proposes a defensive strategy of real-time price attack based on multi-person zero-determinant.From the perspective of cyber-physical fusion security,consider the impact of RTPA on power transmission lines and the impact of ES on the choice of HEMS behavioral strategies when ES participates in the game.Based on the previous research,defined the power transmission lines model and the behavioral characteristics of the ES,established a multi-player iterated prisoner’s dilemma game consisting of RTPA,HEMS and ES,proposed a defensive strategy of multi-person zero-determinant,and obtain the probabilities of HEMS taking various behavioral states,and analyzed the impact of RTPA on expected load demand of power consumers and power transmission lines.For the two proposed defense strategies,the paper uses the real-time price and load demand data of New South Wales of Australia Energy Market Operation Center as experimental data.The experimental platform is Eclipse with PyDev and Matlab to verify the effectiveness and feasibility of defense strategies.The experimental results show that in the defensive strategy of real-time price attack based on a zero-determinant,the HEMS can effectively reduce the expected load demand of power consumers when combining the zero-determinant strategy,in the defensive strategy of real-time price attack based on a multi-person zero-determinant,ES can optimize the behavioral state selection of HEMS when participating in the game,so that HEMS combined with multi-person zero-determinant strategy that can more effectively reduce the expected load demand of power consumers,and the power transmission lines protection rate is higher than other strategies.