Optimal planning algorithm for hierarchical zoning of microgrids under cooperative dispatch of multiple energy storage devices

Abstract

The synergy with energy storage devices in the current microgrid hierarchical zoning optimization planning is low, resulting in poor quality optimization planning results. To this end, a microgrid hierarchical zoning optimisation planning algorithm with collaborative scheduling of multiple energy storage devices is proposed. Analysis of weak levels and regions. Distributed arrangement of energy storage devices in the microgrid. Dynamic control of energy storage device parameters and hierarchical partitioning of multiple energy storage devices for collaborative scheduling. Generation of a microgrid hierarchical partitioned optimal planning algorithm. The experiments show that the average index entropy value of the algorithm is 0.4857, which can effectively improve the quality of the microgrid hierarchical zoning optimization planning results and has high practical value.