An Improved PSO-Based Multi-Objective Optimization Scheduling of Microgrid Considering Environmental Costs

The inherent requirement for high-quality economic development is the construction of a new type of clean, lowcarbon, safe and efficient power system. Microgrids are the important core of building a new type of power system. This paper is planned to make the microgrid satisfy the basic power supply demand while taking into account the economic and environmental benefits. To this end, a multi objective optimal dispatching model integrating microgrid running cost and environmental protection cost is proposed in this paper. Meanwhile, an improved PSO is proposed to solve the optimization model by changing the inertia weight factor and learning factor. The simulation results show that the proposed model can fully consider the economy and environmental protection, and promote the optimal operation of the microgrid. Compared with the traditional PSO, the improved PSO has better global exploration capability and can sufficiently reduce the total cost, which verifies the superior performance of the improved PSO.