4.7 Article

A two-level optimization framework for battery energy storage systems to enhance economics and minimize long-term capacity fading

期刊

JOURNAL OF ENERGY STORAGE
卷 63, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.est.2023.106943

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Lithium-ion battery; Battery simulation; Capacity fading; Optimization; Grid; Energy storage

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This paper proposes a two-level optimization framework for maximizing revenue of a battery energy storage system while considering battery capacity fading phenomena. An upper-level optimization focuses on maximizing revenue in a real-time electricity market, while a lower-level optimization determines optimal charging current using particle swarm optimization to mitigate side reactions and maintain economic performance. The proposed framework is applied to a case study using California energy prices, showing an extended battery lifespan of up to 5.1% and overall revenue increases of up to 9.8% compared to a singular economic optimization approach using standard charging protocols.
This paper proposes a two-level optimization framework for a battery energy storage system to maximize revenue with consideration of the phenomena that cause battery's capacity fading. Instead of solving the scheduling problem as a singular problem, a two-level optimization framework is introduced. The upper-level optimization focuses on maximizing revenue by arbitrage in a real-time electricity market. With the determined operating schedule, the lower-level optimization, solved with particle swarm optimization, determines the optimal charging current that mitigates the side reactions while maintaining economic performance. With the optimal charging current and operating schedule, a pseudo-2D electrochemical model is used to simulate the battery behavior. To reflect the actual behavior of the lithium-ion battery, two side reactions, solid electrolyte interface formation and Lithium plating, are simulated. A case study using California energy prices is presented. With the proposed framework, the results show that the battery's lifespan is extended by up to 5.1 % and overall revenue increases by up to 9.8 % compared to a singular economic optimization utilizing the standard constant current, constant voltage charging protocol.

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