为激励移动式储能系统(mobile energy storage system,MESS)参与电力市场,并在增加自身盈利的同时,在一定程度上缓解电力阻塞,计及转移效用与不确定性,提出一种MESS日前-日内两阶段市场竞标策略.首先,在日前阶段,构建MESS参与电力市场双层投标模型,上层旨在决策MESS的时空分布及功率,下层为电力市场出清模型;其次,在日内阶段,采用多场景随机优化方法模拟、分析日内不确定性,并以日前荷电水平和转移计划为参考,基于模型预测控制方法构建MESS参与日内电力市场双层投标模型,上层旨在动态调整MESS实时功率,下层亦为电力市场出清模型;进一步,利用KKT条件和互补松弛理论将双层竞标模型转化为单层线性优化模型,以实现高效求解;最后,以国内某城域互联电力交通网络设计典型仿真案例.仿真结果表明,所提策略能够实现可调配资源的最大化利用,有效缓解电力系统输电阻塞,促进清洁能源消纳.
Day-ahead and Intra-day Markets Bidding Strategy for Mobile Energy Storage System Considering Transfer Utility and Uncertainty
To incentivize the mobile energy storage system(MESS)to participate in the electricity market,thereby enhancing their profitability while alleviating power congestion to some extent,this paper proposes a day-ahead and intra-day two-stage market bidding strategy for the MESS,taking into account transfer utility and uncertainty.Firstly,in the day-ahead stage,a bi-level bidding model is formulated for the MESS participating in the electricity market,where the upper level aims to optimize the spatiotemporal distribution and power of the MESS,and the lower level represents the electricity market clearing model.Secondly,in the intra-day stage,a multi-scenario stochastic optimization method is employed to simulate intra-day uncertainties.Based on the state of charge and transfer plan from the day-ahead stage,a bi-level bidding model for the MESS participating in the intra-day electricity market is constructed using a model predictive control approach.The upper level aims to dynamically adjust the real-time power of MESS,while the lower level also serves as the electricity market clearing model.Furthermore,by leveraging the Karush-Kuhn-Tucker(KKT)conditions and complementarity relaxation theory,the bi-level bidding model is transformed into a single-level linear optimization model to achieve efficient solving.Finally,a typical simulation case is conducted based on the design of a domestic city-area interconnected power transportation network.The simulation results demonstrate that the proposed strategy can maximize the utilization of dispatchable resources,effectively alleviate power system transmission congestion,and promote the consumption of clean energy.
mobile energy storage system(MESS)day-ahead and Intra-day electricity marketmodel predictive controlKarush-Kuhn-Tucker conditionsbidding strategy
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