AUTHOR=Donglei Sun , Yi Sun , Yuanyuan Sun , Rui Liu , Xian Wang , Yao Wang 

TITLE=Switching control strategy for an energy storage system based on multi-level logic judgment

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1199574

DOI=10.3389/fenrg.2023.1199574

ISSN=2296-598X

ABSTRACT=Energy storage is a new flexible adjusting resource with a broad application prospect in the power system with a high proportion of renewable energy integration. However, the energy storage systems have some spare capacity under stable working conditions. Moreover, it may even be idle for a certain period. It is primarily selected for peak shaving and valley filling, frequency regulation, and voltage regulation as the only control target, so energy storage cannot be used effectively, which weakens the effect of energy storage on grid support. To improve the utilization rate and economic benefits of the energy storage system and enhance the support performance of energy storage for the safe operation of the power grid. This paper proposes a switching control strategy of an energy storage system based on multi-layer logic judgment to maximize energy storage's benefit and ensure the power grid's safe and stable operation. First of all, this paper analyzes the potential multi-ancillary service operation requirements of the energy storage system, combined with the auxiliary compensation benefits of the energy storage power station. It proposes a comprehensive index that considers the economy of the energy storage system and the stable operation of the power grid to support the evaluation needs of control of energy storage. On this basis, this paper pre-sets the multi-layer judgment logic for the operation control of the energy storage system. A multi-objective judgment and smooth switching strategy for the coordinated operation of the energy storage system is proposed based on the typical operating conditions of the energy storage system participating in the grid peak shaving and valley filling, frequency regulation, and voltage regulation. It effectively utilizes the energy storage system's idle capacity and improves the energy storage system's support effect on the power grid. Through the improved energy storage control model based on MATLAB/Simulink, the effectiveness of the smooth switching strategy of the energy storage system proposed in this paper is verified.