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- W2891266916 abstract "In isolated microgrid, renewable energy sources including photovoltaic and wind power, have the nature of intermittence and variability. Making a reasonable day-ahead generation schedule could improve system ability to cope with uncertainty. Therefore, based on day-ahead generation schedule, flexibility insufficiency rate is proposed considering economy and flexibility. Aiming at the lowest flexibility insufficiency rate and optimal operating cost, a day-ahead generation schedule optimizing model of isolated microgrid is established. Under multi-objective particle swarm optimization, Pareto optimal solution set of the day-ahead generation schedule is found. Simulation results of an isolated microgrid show that, day-ahead generation schedule made with the proposed method can improve ability of power system to cope with uncertainty and reduce economic losses." @default.
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- W2891266916 date "2018-01-01" @default.
- W2891266916 modified "2023-09-22" @default.
- W2891266916 title "Multi-Objective Day-Ahead Optimal Scheduling of Isolated Microgrid Considering Flexibility" @default.
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- W2891266916 doi "https://doi.org/10.1051/e3sconf/20185301024" @default.
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