Research on Fast Intelligent Restoration Method of Power Grid Short Circuit Fault Based on Machine Learning
As the operation and maintenance cost of distribution network short-circuit fault increases year by year,which affects the overall economic benefits of power enterprises,a fast intelligent recovery method of distribution network short-circuit fault based on ma-chine learning is proposed.The echo state network is analyzed,and the short-circuit fault recovery model of distribution network is established.The distribution network operation index constraint conditions are set,the echo state network objective function is constructed,and the violation degree between the individual and the constraint conditions in the function is calculated to obtain the actual objective function.In the target optimization stage,the important load is maximized,and then the operation balance of the distribution network is considered,so as to realize the quick and intelligent recovery of the short-circuit fault of the distribu-tion network.The experimental results of the proposed method show that the proposed method can effectively restore the fault branches and nodes,and the voltage and current fluctuations are guaranteed within the allowable range after restoration.
machine learningshort circuit fault of power gridSmart Recoveryobjective functiontarget optimization
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