The study first analyzes the composition and control methods of traditional microgrids, revealing their limitations in coping with uncertainty and multi-objective optimization; it then explores the architecture of new microgrids and their intelligent scheduling techniques, and.
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This paper proposes an optimization method based on the combination of the particle swarm algorithm and non-linear penalty function to dispatch the energy of household PV–ES inverter.
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