Optimal Scheduling Strategy of Renewable Energy Microgrids

The coordinated operation of microgrid units is crucial for the society. Since the system output power is full of uncertainties, it is crucial to propose reliable optimal scheduling strategies for microgrids. In this paper, a multi-objective scheduling structure is established based on the output power allocation of each operating unit in the grid-connected mode of the microgrid and solved by the improved multi-objective particle swarm algorithm (MOPSO). Through the simulation model data verification, the proposed method can not only deal with the complex multi-objective microgrid system but also can effectively give the real-time active output of different operating units in one day. Therefore, the optimal scheduling strategy proposed in this paper has high practical value and helps to improve the power supply reliability and economy of renewable energy microgrids.