基于增强卷尾猴搜索算法的分布式电源定容选址方法OACSTPCD

Under the influence of the characteristics and distribution of new energy,large-scale distributed generator(DG)and electric vehicles(EV)are connected to the distributed network,which makes a fundamental change in the structure and opera-tion mode of the power grid.In order to improve the utilization rate of DG and reduce the fluctuation of the distributed network,the minimum annual comprehensive cost of the distribution generation is taken as the objective function.Under the constraint conditions of node voltage and branch power,a planning model of constant volume location of distributed network DG is estab-lished including EV charging,and an enhanced capuchin search algorithm is proposed to solve the model.This algorithm im-proves the social behaviors selected by the leader in the wild horse optimizer on the traditional capuchin search algorithm to avoid falling into the local optimal situation.Finally,the typical distribution system of IEEE-33 bus is simulated and compared with other algorithms to verify the superiority of the proposed algorithm.