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Online Control and Near-Optimal Algorithm for Energy Storage Sharing in Smart Grid

机译：智能电网储能共享的在线控制和近最优算法

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摘要

This paper studies a new model of energy storage (ES) sharing in a residential community in which some homes have physical ESs (PESs) but some do not. The non-PES homes can buy ES capacity from PES homes, creating virtual ESs (VESs). Based on the transaction results between PESs and VESs, an online algorithm is developed for real-time energy management of ES sharing among the homes. During online control, non-negative long-term utilities of homes and practical charging/discharging constraints of PESs and VESs are considered. The advantage of the proposed algorithm is that system state forecasting, such as home load, renewable generation, and grid price, is not required. The algorithm only needs current system states to make a control decision. Theoretic analysis shows that the worst-case system cost under the algorithm is upper bounded, guaranteeing the online solution is near-optimal. In the simulation, real-time data of grid price and home power use is employed, and the proposed algorithm is benchmarked against a greedy algorithm and a theoretic lower bound.
机译：本文研究了一种住宅社区中能量存储（ES）共享的新模型，在该模型中，有些房屋具有物理ES（PES），而有些则没有。非PES家庭可以从PES家庭购买ES容量，从而创建虚拟ES（VES）。基于PES和VES之间的交易结果，开发了一种在线算法，用于家庭之间ES共享的实时能量管理。在在线控制期间，考虑了房屋的非负长期实用性以及PES和VES的实际充电/放电限制。该算法的优点是不需要系统状态预测，例如家庭负荷，可再生能源发电和电网价格。该算法仅需要当前系统状态即可做出控制决策。理论分析表明，该算法在最坏情况下的系统成本是上限，保证了在线求解的接近最优。在仿真中，采用了电网价格和家庭用电的实时数据，并以贪婪算法和理论下界为基准对算法进行了基准测试。

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