Collaborative optimization of high proportion renewable energy system based on Improved PSO algorithm

Abstract

Abstract Due to the uncertainty of renewable energy, the high proportion of renewable energy system has low cooperative scheduling capability and high cost. Therefore, based on the improved PSO algorithm, a high proportion of renewable energy system collaborative optimization method is proposed. Firstly, the framework and decomposition mechanism of transmission and distribution collaborative scheduling of renewable energy system are set up. Then, based on the analysis of the improved PSO algorithm strategy, the reactive power optimization method of renewable energy system is designed based on MSI-PSO algorithm. Firstly, the mathematical model of high proportion renewable energy system is proposed and solved, so as to complete the collaborative optimization. Finally, the simulation analysis shows that the design method has higher collaborative scheduling ability and lower cost, which proves that the collaborative optimization method of high proportion renewable energy system based on Improved PSO algorithm is effective.