Optimal Dispatch Strategy of Microgrid Energy Storage Based on Improved Sparrow Search Algorithm

Microgrid is an effective system that integrates distributed generation, energy storage, loads and some protection devices. Optimal energy dispatch of microgrid can improve energy utilization efficiency and reduce the power generation cost of the microgrid. In this paper, a method based on improved sparrow search algorithm (ISSA) is proposed to optimize microgrid energy dispatch. First, transform the microgrid optimal dispatching problem into a multi-dimensional function optimization problem, and establish constraint conditions. Secondly, use Tent chaotic sequence to initialize the population, enhancing the diversity of the population. And then, use random walk strategy to improve the global and local searching performance of the algorithm. Finally, the improved algorithm is applied to the problem of microgrid optimization scheduling, and compared with the standard sparrow search algorithm and particle swarm algorithm. The simulation shows that the method has better global convergence and local search capabilities.