Multi-objective Power System Optimization Scheduling Model with Photovoltaic Power Generation
In the current context of energy transformation and the"dual carbon"goal,the proportion of photovoltaic power generation as an important component of clean energy in the power system is increasing.However,the uncertainty and volatility of photovoltaic power generation have increased the difficulty of dispatching China's power system,seriously affecting the reliability and safety of power system operation.This article focuses on the power system containing photovoltaic power generation.Firstly,a multi-objective optimization scheduling model is constructed that takes into account the total active power loss,node voltage deviation,and node reactive power exceeding the limit value of the system.The aim is to achieve dual optimization of the system's economy and safety;Secondly,based on the niche mechanism and dynamic weight strategy,the Particle Swarm Optimization(PSO)algorithm was improved to solve the optimization objectives;Finally,simulation verification was conducted on an IEEE30 node system,and the results showed that the proposed model and algorithm can effectively improve the optimization scheduling performance of the power system.
multi objective optimizationpower system dispatchphotovoltaic power generationimprove particle swarm optimization algorithmIEEE30 node system
万方数据
维普
