Multi-objective Scheduling for Smart Microgrids Based on Particle Swarm Algorithm
Optimal scheduling of microgrids is a complex problem with multiple objectives and nonlinear characteristics,and optimization methods that aim purely at operating costs may lead to a single solution and difficulties in practical applications.In this paper,a novel microgrid scheduling model that combines economy and environmental friendliness is proposed,and a detailed optimal scheduling study is carried out for key components such as micro gas turbine,wind power,photovoltaic,diesel generator and storage battery.Based on ensuring the satisfaction of various system constraints,a multi-objective microgrid dispatch model that integrates the operating cost and pollution treatment cost is constructed and solved by using the multi-objective particle swarm optimization algorithm(MOPSO).This model provides a more comprehensive and practical framework,which provides a strong guideline for the economic and environmental-friendly
multi-objective schedulingpower system optimizationsmart microgridparticle swarm optimi-zation algorithm
万方数据
维普
