Optimization Scheduling of Microgrid Based on Improved Swarm Spider Optimization Algorithm

Microgrids have an important position in the smart grid, therefore, not only the stability of the microgrid should be considered, but also the economic efficiency and environmental protection of the microgrid should be improved. For this, a multi-objective optimization model that integrates the operating cost and environmental protection cost of the system under the grid-connected mode of microgrid is proposed. The revised swarm spider optimization algorithm is adopted for solving the model. The results indicate that this method can effectively decrease the cost of power consumption and environmental pollution on the customer side. Finally, the superior performance of the improved swarm spider optimization algorithm is verified when compared with the traditional swarm spider optimization algorithm algorithm.