论文标题
基于ADMM的MIQP平台用于电动汽车聚合管理
An ADMM-based MIQP platform for the EV aggregation management
论文作者
论文摘要
电动汽车(EV)聚集可以显着影响电动汽车的充电/放电行为。在本文中,我们使用基于乘数交替方向方法(ADMM)的分布式算法来协调电动汽车的电动汽车充电程序,并具有车辆到网格(V2G)功能。优化模型被称为混合二级二次编程(MIQP)问题,以考虑电动电池电池的效率和电荷和放电过程中的不同能源价格。使用现实世界数据的数值测试证实,实现的方法允许在考虑电网和每个EV约束时同时获得电动汽车聚合器(EVA)和单个EV目标。此外,我们显示了模型对最终需求概况和计算时间的重大影响。
Electric vehicle (EV) aggregation can significantly influence the EVs charging/discharging behavior. In this paper, we use a distributed algorithm based on the alternating direction method of multipliers (ADMM) to coordinate EV charging and discharging procedures for EVs with vehicle-to-grid (V2G) capabilities. The optimization model is formulated as a mixed-integer quadratic programming (MIQP) problem to consider the efficiency of EV batteries and different energy prices in both charging and discharging processes. Numerical tests using real-world data confirms that the implemented method allows obtaining both the electric vehicle aggregator (EVA) and individual EV goals while considering the power grid and each EV constraints. Moreover, we show the significant impact of our model on the final demand profile and computation time.