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Analysis Of The Malicious Attack For Power Grid Measuring System

Posted on:2019-10-14Degree:MasterType:Thesis
Country:ChinaCandidate:Z F GuoFull Text:PDF
GTID:2382330548970781Subject:Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the development of smart grid technology and information technology,the possibility of cyber attacks occurring in power system increases.In contrast to random attacks,malicious attacks cause a greater threat to power system,therefore the research of power system under cyber attack demonstrates its theoretical significance.False Data Injection attack against the measurement system is a research priority of the measurement system attack research.Nowadays,most of the research on FDI attacks is based on the linear state estimation model,which differs greatly from the actual situation.To solve these problems,a single-level and a bi-level optimization model of FDI attack are proposed.The objective function of the single-level FDI model is to maximize the difference between the measured values with and without malicious attack while subjected to a list of constraints including measuring range limits and state estimation residual error constraint.Otherwise,the bi-level optimization FDI model of which upper and lower levels separately describe behaviors and characteristics of the attacker and system operator.In the upper level,cyber attackers attack the measurements of the power system with the purpose of finding the optimal attack scheme to maximize the economic loss of the power system while subjected to a list of constraints including measuring range limits and state estimation residual error constraint,same as the single-level FDI model does.While in the lower level,the power system operator performs optimal power system dispatching based on the previous data.In order to handle the complexity of the bi-level optimization model,it is transformed to single-level model with Karush-Kuhn-Tucker(KKT)conditions.The nonlinear FDI attack model in the paper is implemented in GAMS and solved using BARON.The numerical results indicate that the malicious bi-level FDI attack causes a serious economic losses on the secure and economic operation of power systems,more than single-level FDI attack dose,and greater than the random cyber attack does,consequently validate the effectiveness of the proposed approach.
Keywords/Search Tags:bi-level optimization model, Power system cyber attack, False data injection attacks, State estimation, Security constrained economic dispatch, KKT conditions
PDF Full Text Request
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