An Island Partitioning Method of Active Distribution Networks Based on Improved Levy Snake Optimizer Algorithm
Island partitioning is a resilient solution for used for significant faults in the power distribution system.In order to improve the reliability of power supply to customers,reduce the impact of source-load fluctuations on islanding restoration,and minimize energy waste,this paper proposes an island partitioning method in the active distribution network that considers the source-load uncertainty.Firstly,the uncertainty is eliminated by portraying the scenarios with the method of multi-scenario analysis(MA).The typical scenarios of Distributed Generation(DG)output and load are formed by the scenario generation method based on the long short-term memory(LSTM)network,and the scenarios are cut down by the method of fast antecedent elimination.Secondly,the islanding model is established based on Levi snake optimization(LSO)and island partitioning in muti-time for the optimal recovery scheme.Finally,simulation experiments are conducted on the modified IEEE33 system to verify the effectiveness of the proposed method.
active distribution networkisland partitioninglong short-term memorySnake optimization algorithmLevy flight
万方数据
维普
