论文标题
具有电池温度最佳控制和网络最佳功率流的两层框架
A Two-Layer Framework with Battery Temperature Optimal Control and Network Optimal Power Flow
论文作者
论文摘要
电池储能是微电网的重要组成部分。电池的工作温度是一个重要因素，因为高温条件通常会增加损失，降低使用寿命，甚至会导致火灾危害。因此，在操作过程中，在电池储能中正确存储电池模块/包装的温度轮廓是必不可少的。鉴于此，提出了一种两层最佳控制和操作方案，用于具有储能的微电网。在第一层中，形成了最佳控制模型，以得出最佳的控制策略，该策略将控制工作（由风扇速度和电池电流幅度组成）最小化，以在电池模块上获得温度分布参考。在第二层中，微电网的系统操作员执行最佳功率流，以搜索第一阶段中使用的最佳温度分布参考以及电池的相应操作电流，以最大程度地减少整个微电网系统的运行成本。这项两层方案提供了巨大的计算好处，可以大规模整合电池。对拟议的两层模型进行了案例研究，以说明其性能。
Battery energy storage is an essential component of a microgrid. The working temperature of the battery is an important factor as a high-temperature condition generally increases losses, reduces useful life, and can even lead to fire hazards. Hence, it is indispensable to regulate the temperature profile of the battery modules/packs properly in the battery energy storage during the operation. In view of this, a two-layer optimal control and operation scheme is proposed for a microgrid with energy storage. In the first layer, an optimal control model is formed to derive the optimal control policy that minimizes the control efforts, consisting of the fan speed and battery current magnitude, in order to achieve a temperature distribution reference over the battery modules. In the second layer, the system operator of the microgrid performs an optimal power flow to search for the optimal temperature distribution reference used in the first stage and the corresponding operating current of the battery that minimize the operation cost of the entire microgrid system. This two-layer scheme offers a great computational benefit that allows for large-scale integration of batteries. A case study is performed on the proposed two-layer model to illustrate its performance.
