Neighborhood level network aware electric vehicle charging management with mixed control strategy

Di Wu, Haibo Zeng, B. Boulet
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引用次数: 18

Abstract

With the fast development of the electric vehicle (EV) technology and the pressing environment conditions. It is expected that EVs will grow rapidly in the near feature. However, the broad adoption of EVs will produce a high power demand on the power grid. Smart charging control of the EVs could help to relieve the possible negative influences on the power grid. Many researchers have investigated possible algorithms for EV charging control. Considering customers' willingness, this paper proposes a mixed charging control framework. The proposed control framework is aimed to minimize the charging cost and satisfy the customers' charging freedom requirements. A user satisfaction determining method is also proposed which can help to evaluate user satisfactions for different control algorithms. Within the proposed framework, both the benefits for the utility companies and the customers are considered. The optimization framework is evaluated with the data from a local utility company. Simulation results show the efficiency of the proposed framework. The framework can also be further used to evaluate the penetration for a certain neighborhood level network.
基于混合控制策略的邻域网络感知电动汽车充电管理
随着电动汽车技术的快速发展和环境条件的日益紧迫。预计电动汽车将在近期快速增长。然而,电动汽车的广泛采用将对电网产生很高的电力需求。电动汽车的智能充电控制有助于缓解对电网可能产生的负面影响。许多研究人员已经研究了电动汽车充电控制的可能算法。考虑用户意愿,提出了一种混合收费控制框架。所提出的控制框架以最小化充电成本和满足用户的充电自由需求为目标。提出了一种用户满意度确定方法,可用于评价不同控制算法下的用户满意度。在拟议的框架内,考虑了公用事业公司和客户的利益。利用当地一家公用事业公司的数据对优化框架进行了评估。仿真结果表明了该框架的有效性。该框架还可以进一步用于评估特定邻域级网络的渗透。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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