论文标题
考虑监管市场的电动汽车聚合器的基于MPC的操作策略
MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets
论文作者
论文摘要
考虑了电动汽车聚合器（EVA）的最佳操作问题。 EVA可以使用其当前和即将到来的电动汽车参与能源和监管市场，从而降低其购买能源的总成本以满足电动汽车的充电要求。开发了基于模型的预测性控制（MPC）优化，以考虑电动汽车的未来以及能源和调节价格的未来。条件价值风险（CVAR）的索引用于建模EVA的风险越来越高。对2000-EV测试系统的模拟验证了我们工作在获得有利可图的收入方面的有效性，同时满足了电动汽车所有者的收费请求。
The optimal operation problem of electric vehicle aggregator (EVA) is considered. An EVA can participate in energy and regulation markets with its current and upcoming EVs, thus reducing its total cost of purchasing energy to fulfill EVs' charging requirements. A model predictive control (MPC) based optimization is developed to consider the future arrival of EVs as well as energy and regulation prices. The index of conditional value-at-risk (CVaR) is used to model the risk-averseness of an EVA. Simulations on a 2000-EV test system validate the effectiveness of our work in achieving a lucrative revenue while satisfying the charging requests from EV owners.
