Distributed Photovoltaic Cluster Partition and Reactive Power Optimization Strategy Based on BAS-IGA Algorithm

Abstract

The application of distributed photovoltaic (PV) systems in the power grid is more and more extensive. PV fluctuations are strong, and the stability is poor. The large-scale access of PV not only increases the complexity of the distribution network structure, but also bring some adverse effects, such as making the running of the power grid more difficult. The paper focuses on cluster partition and reactive power optimization problems with large-scale distributed generation. Firstly, the K-means clustering algorithm improved by IGA is applied to find out a better initial clustering center. And then the distribution network is set off into clusters based on the electrical distance between nodes. Taking the total voltage offset of the nodes and the lowest loss of the line active power as the objective function, the BAS-IGA algorithm optimizes the reactive power of the power system. Finally, the simulation result verifies the effectiveness of the proposed cluster partition and reactive power optimization ploy.