Capacity optimization of hybrid energy storage system considering battery loss

INTRODUCTION: Wind power instability in microgrids impairs system economy, and rational hybrid energy storage system (HESS) capacity allocation is critical for mitigation. OBJECTIVES: To address this, this study aims to optimize HESS configuration by minimizing battery loss and life cycle cost while ensuring stable operation. METHODS: The approach involves: constructing a battery equivalent running time model via the rain-flow counting method, establishing a dual-objective optimization model, decomposing HESS suppression power into K intrinsic mode function(IMF) components using MISOA-VMD, and deriving optimal energy storage configurations and critical mode point with the NSGA-II algorithm. RESULTS: Validation through comparative analysis of different schemes' minimum costs confirms the proposed scheme's superiority. CONCLUSION: This study provides a reliable HESS configuration method to enhance the economy of wind power-integrated microgrids.