Multi-objective Optimal Scheduling of Microgrids Based on Variational Particle Swarm Algorithm
Microgrid scheduling is usually a multi-constraint,non-linear optimisation problem,and the particle swarm algorithm(PSO)for multi-objective optimal scheduling of microgrids is prone to fall into local optimal solutions.The traditional particle swarm algorithm is improved by introducing the variational operation,and a grid-connected optimal scheduling model containing photovoltaic power generation(PV),wind turbine(WT),gas turbine(MT),energy storage device(ES),and diesel generator(DE)is established,and the microgrid model is built with the improved algorithm and solved by simulation,and the feasibility and superiority of the optimized PSO algorithm applied in the microgrid optimization and scheduling model are verified by time period.The feasibility and superiority of the optimised PSO algorithm applied to the microgrid optimal dispatch model are verified in time.
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