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In part II of this two-part paper, the improved particle swarm optimization (IPSO) algorithm for solving the microgrid (MG) day-ahead cooling and electricity coordinated scheduling is proposed. Significant improvements are made in comparison with the conventional PSO algorithm from two aspects. First, the mandatory correction is implemented to ensure the complex coupled constraints among the components...
For a Microgrid (MG) with cooling, heating, electricity coordinated supply to satisfy its end customers' multi energy-type demands, a day-ahead coordinated scheduling model is developed. In the model, the objective for achieving the economy of MG owner, and the constraints for the multi-energy supply and demand balances and energy devices characteristics are considered. The fluctuations of solar and...
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