Comprehensive Control Method of Three-Phase Load Imbalance Considering Distributed Photovoltaic Generation

The distribution power system, as the terminal link between the power system and the customer connection, still suffers from asymmetric three-phase line parameters and three-phase load imbalance. At present, the three-phase imbalance management method is still incomplete and does not take into account the extensive usage of distributed power sources. Therefore, a complete set of three-phase imbalance management methods considering the distributed power sources is urgently needed. In this paper, a comprehensive three-phase load imbalance governance method considering distributed PV power is proposed. Firstly, the UMAP dimensionality reduction method and the K-means clustering method are used to identify of consumer-phase relationship under the station area. After that, with the lowest three-phase imbalance as the goal, the genetic algorithm is used to optimize the phase of users and complete the three-phase imbalance governance. Finally, the results of the case analysis show that the proposed method can achieve accurate three-phase imbalance management in the distributed power access scenario considering distributed photovoltaic generation.