Multi-Time Scale Collaborative Optimization of Distribution Network Based on Photovoltaic Generation Clusters

Abstract

The large-scale access of distributed renewable power sources poses a huge challenge to the planning and operation of traditional power distribution systems. In order to improve the consumption capacity of renewable energy and the stability of system operation, this paper proposes a multi-time scale collaborative optimization method for the power distribution network based on photovoltaic power generation clusters. Based on the idea of cluster collaborative optimization, this method divides dispersed photovoltaics into photovoltaic power generation clusters, and constructs a day-ahead, intra-day collaborative optimization model for the distribution network with virtual power plants. Where, the day-ahead optimization model takes the economics in the operation of the power distribution network and the revenue of the virtual power plant as the main objectives to ensure the benefits of users; The intra-day optimization model evaluates the risk of node voltage overrunning and branch power flow overrunning in the system, which uses evaluation value as a safety target to achieve the safety of the power distribution network’s intra-day operation. The improved IEEE34-node system is used for testing, and the test results of calculation examples verify the correctness and effectiveness of the model and method in this paper.