Abstract
Optimizing micro-grid dispatch is one of the important ways to improve the efficiency of renewable energy utilization. In this paper, a micro-grid system, including photoelectric, wind power, diesel engine, and the battery is optimized based on the Particle Swarm Optimization algorithm. Constrained by operation condition, a multi-objective optimization scheduling model including fuel cost, operation cost, and pollution gas emission cost is established, and multi-objective Particle Swarm Optimization (MOPSO) is used to solve the optimization scheduling problem of micro-grid. The simulation results show that the model can promote the optimization of micro-grid dispatch.
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