考虑转运不确定性的移动储能系统韧性市场投标策略

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.