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Interactive charging strategy of electric vehicles connected in Smart Grids

机译:智能电网连接的电动车辆交互式充电策略

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Electric vehicles (EV's) represent an important future load on the electric utility system which, if implemented in a large scale without control, may lead to grid problems such as power losses and voltage deviations. However, if properly managed, it could increase power plant utilization and reduce the average cost of generating electricity. This paper proposes and analyzes two novel interactive charging strategies for scales of electric vehicles connected in Smart Grid. The first decentralized approach is controlled directly by the electric vehicle charging controller. Six charging modes included in this strategy adjust schedule of electric vehicles charging operation automatically and ensure the charging orderly. The other is centralized charging strategy. With the aim of minimizing power losses and voltage deviations, the optimal algorithm in charging management system also takes into consideration not only the information like current SOC, the battery capacity and connecting time but also the electricity grid constraints. Both of them optimize EV's charging schedules and charging rates. In addition, a two-way communication network based on Zigbee and other communication technology is established to ensure the implement of the interactive charging control. The success of this charging strategy can be an important theoretical meaning and promotional value for EV.
机译:电动车(EV)代表电力系统上的重要未来负荷,如果在没有控制的情况下以大规模实施的话,可能导致电网问题,例如功率损耗和电压偏差。但是,如果妥善管理,它可以提高发电厂利用率,降低发电的平均成本。本文提出并分析了智能电网连接的电动车型的两种新型交互式充电策略。第一种分散的方法由电动车辆充电控制器直接控制。六种充电模式包括在该策略中,调整电动汽车充电操作的时间表,并确保充电顺序。另一个是集中的充电策略。旨在最大限度地减少功率损耗和电压偏差的目的,充电管理系统中的最佳算法也不仅考虑当前SOC,电池容量和连接时间等信息,而且还考虑了电网约束。他们都优化了EV的收费时间表和收费率。另外,建立了一种基于ZigBee和其他通信技术的双向通信网络,以确保交互式充电控制的实现。这项收费策略的成功可能是EV的重要理论意义和促销价值。

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