Capacity optimization of hybrid energy storage system considering battery loss
DOI:
https://doi.org/10.4108/ew.12034Keywords:
HESS, rain-flow counting method, battery loss, life cycle cost, MISOA-VMD, NSGA-II algorithm, minimum full-life-cycle costAbstract
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.
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Copyright (c) 2026 Hong Na, Jiacheng Wu, Guoping Lei, Jing An, Xue He
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