Detection of wrong data injection in power network by extension association search
When the associated transmission behavior of incorrect data injection cannot be accurately searched,it will easily lead to the decrease of power network operation rate.In order to solve the above problems and realize the accurate detection of incorrect data transmission behavior of associated power network,a detection method of incorrect data injection in power network based on extension associated search is proposed.The framework model of extension correlation search is constructed,the coding label of power network error data is established,and the binary identification conditions are deduced to complete the identification of power network error data oriented to extension correlation search.On this basis,the data cluster structure is defined,and the specific detection expression is solved by analyzing the extreme value of wrong data injection,so as to realize the detection of wrong data injection in power network.The experimental results show that the proposed method can accurately detect the error data of related power network according to the transmission rate index,which meets the practical application requirements.
extension association searchpower networkdata injectionbinary recognitiontransmission rate
万方数据
维普
