Analysis of optimal configuration of energy storage in wind-solar micro-grid based on improved gray wolf optimization

To make full use of the electric power system based on energy storage in a wind-solar microgrid, it is necessary to optimize the configuration of energy storage to ensure the stability of a multi-energy system. This paper analyses the structure and function of the microgrid system, establishes the mathematical model, and analyzes the output characteristics. A double-layer optimization model of energy storage system capacity configuration and wind-solar storage micro-grid system operation is established to realize PV, wind power, and load variation configuration and regulate energy storage economic operation. The mathematical model of the improved gray wolf optimization is constructed, and the typical landscape resource data of a residential district. Comparing the difference between energy storage without an installation and energy storage with improved algorithm, it is shown that the energy storage configuration of the improved gray wolf optimization improves the economy, efficient energy use, and revenue of the whole system.