Resilient market bidding strategy for Mobile energy storage system considering transfer uncertainty

Kaijie Wang, Yuncong Ma, Fanrong Wei, Xiangning Lin, Zhengtian Li and Samir Mohammed Dawoud

Applied Energy, 2025, vol. 377, issue PC, No S0306261924018816

Abstract: The participation of Mobile Energy Storage Systems (MESS) in the electricity market can not only increase its own profit but also alleviate power transmission congestion and increase market clearing balance. However, relevant market trading strategies have yet to be explored. Accordingly, this paper proposes a resilient market bidding strategy for MESS considering the operation of transportation network. Firstly, this paper proposes a joint optimization framework of energy and transportation systems. In this framework, the upper layer is to make decisions on the space-time distribution and bidding strategy of MESS, and the lower layers is designed for the equilibrium of the transportation network and electricity market clearing. Subsequently, for the newly introduced transportation layer, this paper proposes a Logit-type Robust Stochastic User Equilibrium (LRSUE) to calculate the uncertain transfer time of MESS in the transportation network. Further, based on strong duality theory and Karush-Kuhn-Tucker Conditions (KKT) conditions, the two-layer model can achieve an efficient solution. Finally, two cases were provided to validate the proposed methods, demonstrating that MESS increase its revenue, alleviate power transmission congestion, and increase the electricity market clearing balance.

Keywords: Mobile energy storage systems (MESS); Day-ahead electricity market; Power-transportation network; Robust optimization; Power system resilience (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2024.124498

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