Research on Multi-objective Optimized Scheduling of Microgrid Using Improved Particle Swarm Algorithm
Due to the large-scale use of solar panels,it is urgent to improve the utilization rate of renewable energy while ensuring the voltage stability of the power grid.Considering multiple indicators such as operating costs,disturbance loads,and pollution control costs,a multi-objective optimal scheduling mathematical model is constructed for microgrids composed of photovoltaic cells,wind turbines,micro gas turbines,diesel generators,or batteries,and an improved multi-objective particle swarm algorithm is proposed.Under the constraint conditions,a method of improving the inertia factor and introducing adaptive mutation operation is put forward to solve the optimization model.The simulation results show that the operation of the microgrid has been optimized,and the superior performance of the improved particle swarm algorithm has been verified,laying a foundation for further research on optimized scheduling.
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维普
