Research on Grid-Connected Photovoltaic Multi-Point Optimization Based on Genetic Algorithm

Abstract

With the increase of photovoltaic (PV) installed capacity, the topology and operation mode of the existing distribution network have been changed, which poses new challenges to the economic operation of the distribution network. The multi-point grid-connected optimization of PV is an important means to ensure the economic operation of the system. In this paper, the influence factors on system power loss caused by grid-connected PV are studied. Then, with reducing system power loss as the target, a grid-connected PV multi-point optimization scheme based on improved genetic algorithm and chronological power flow (CPF) analysis is proposed. Based on IEEE 118 bus system, the proposed scheme is verified by Matlab/Matpower simulation platform. The simulation result shows that the optimization scheme can effectively reduce the system power loss and improve the economy of system operation, which has practical application value.