Research on resilient distribution network reconstruction based on robust optimization
Due to the randomness and volatility of wind and photovoltaic power generation,and the more complicat-ed structure of the distribution network after being connected,the reliability of power supply of the distribution net-work is reduced.This paper proposes a distribution network reconstruction scheme combining the quasi-Newton ge-netic algorithm with robust optimization to address this issue.Firstly,based on the output model of wind and photo-voltaic power generation,probability multi-scenarios are generated.Secondly,a robust reconstruction optimization model of the distribution network with wind and photovoltaic power generation access is established,and the quasi-Newton genetic algorithm is used to solve the model.The risk value of voltage out of limit in the distribution net-work before and after reconstruction is compared.Finally,an example is given to verify that the reconstruction method in this paper can effectively improve the reliability of power supply of the distribution network.
wind and photovoltaic power generationprobability multi-scenariosrobust optimizationdistribution network reconstructionQuasi Newton genetic algorithm
万方数据
维普
