In this paper, energy management problem of microgrids is formulated in the framework of non-linear multi-objective optimization problems. The goal is to develop an efficient strategy to supply the microgrids consumers with clean electricity in the most economical way. Moreover, in order to improve system performance and enhance energy efficiency, minimization of system losses is also considered in the optimization scheme. An efficient decision-making approach which adopts fuzzy adaptive particle swarm optimization algorithm is suggested to find the best compromise strategy. The proposed method has been applied to a typical microgrid comprises a variety of distributed energy resources and storage devices. Simulation results under different scenarios approve effectiveness of the proposed approach.

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