A Concise Review of Energy Management Strategies for Hybrid Energy Storage Systems

Bassey Etim Nyong-Bassey
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Bassey Etim Nyong-Bassey: Federal University of Petroleum Resources Effurun, Nigeria

European Journal of Engineering and Technology Research, 2022, vol. 7, issue 3, 77-81

Abstract: In this work, relevant literature with regards to energy management strategies was reviewed and discussed. The energy management strategies were grouped into forecast/historical, heuristic logic, ANN-fuzzy logic, and reinforcement learning (machine learning) based methods. From the literature, it is clear that energy management strategies are imperative if the optimal operation of hybrid energy storage systems and assets is to adequately counteract uncertainty due to intermittent renewable energy sources. The Reinforcement learning-based algorithm which uses an agent-based approach to optimally control the system offers an optimal solution for energy management.

Keywords: Control; Energy management; Hybrid Energy storage systems; Optimisation; Reinforcement learning (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:7:y:2022:i:3:id:62815

DOI: 10.24018/ejeng.2022.7.3.2815

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