Distributed PV Location Selection Based on Hierarchical Optimization and Improved Genetic Algorithm

Abstract

With the rapid development of Distributed Photovoltaic (DPV), the photovoltaic installed capacity of 10 kV and below is gradually increasing, and location selection and capacity planning are required to reduce the impact on the distribution network after the photovoltaic grid connection. Aiming at the access problem of distributed PV in distribution lines, the location and the capacity of DPV are optimized with the idea of layered optimization. The upper level uses improved GA to optimize regional DPV capacity, and the lower layer uses Matlab and OpenDSS to combine multi-objective optimization with minimum network loss and voltage offset and timing power flow calculation to optimize the location and capacity of the DPV within the region. A 10 kV line in Hainan is taken as an example to verify the feasibility of the model.