Abstract
Since the microgrid with distributed power supply has the advantages of flexibility and cleanliness, it has become an important part of the smart grid. In order to achieve the economy and environmental protection multi-objective optimal operation of the microgrid system, the optimization strategy is used to solve the multi-objective optimization problem under the constraints of the system. The multi-objective function model for optimal operation of the microgrid is established. The subpopulation hybridization operation is added into the particle swarm optimization algorithm, which makes it suitable for solving multi-objective optimization problems and applies it to the optimization operation of the microgrid. The power generation cost and environmental cost are used as the sub-objective function to carry out simulation verification. The simulation verification results show that the algorithm can achieve multi-objective optimization operation of microgrid.
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