Optimal Charging Strategies for Unidirectional Vehicle-to-Grid
Optimal Charging Strategies for Unidirectional Vehicle-to-Grid
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DOI：
10.1109/tsg.2010.2090910
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发表时间：
2011-03
影响因子：
9.6
通讯作者：
E. Sortomme;M. El-Sharkawi
中科院分区：
文献类型：
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作者：
E. Sortomme;M. El-Sharkawi
汽车到电网（V2G）已被提出作为提高电动汽车（ev）采用率的一种方式。单向V2G特别有吸引力，因为除了EV和聚合器之间的通信之外，它几乎不需要任何额外的基础设施。反过来，聚合器将许多电动汽车的能力结合起来，进入能源市场。在这项工作中，开发了一种用于聚合器的单向调节算法。几种智能充电算法用于在执行调节时设置充电速率变化的点。与智能收费算法类似，提出了一种具有可选系统负荷和价格约束的聚合器利润最大化算法。在太平洋西北地区对一组10,000辆通勤电动汽车进行了模拟，验证了最优算法在减少系统负载影响和客户成本的同时增加了聚合商的利润。
Vehicle-to-grid (V2G) has been proposed as a way to increase the adoption rate of electric vehicles (EVs). Unidirectional V2G is especially attractive because it requires little if any additional infrastructure other than communication between the EV and an aggregator. The aggregator in turn combines the capacity of many EVs to bid into energy markets. In this work an algorithm for unidirectional regulation is developed for use by an aggregator. Several smart charging algorithms are used to set the point about which the rate of charge varies while performing regulation. An aggregator profit maximization algorithm is formulated with optional system load and price constraints analogous to the smart charging algorithms. Simulations on a hypothetical group of 10 000 commuter EVs in the Pacific Northwest verify that the optimal algorithms increase aggregator profits while reducing system load impacts and customer costs.