Optimal Allocation of V2G Stations in a Microgrid Environment: Demand Response

S. Kirmani, Ward Ul Hijaz Paul, Mudasir Bashir Bhat, Iram Akhtar, A. Siddiqui
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引用次数: 2

Abstract

Vehicle-to-grid technology is a fascinating research area which has attracted a large chunk of researchers from the electrical field because it improves the reliability of the power grid, reduces operating cost and greenhouse emission, helps to balance the supply and demand by its bidirectional energy transfer capability and further improves the economic viability of the electric vehicles. Electric vehicles provide mobile energy storage facility using vehicle-to-grid concept at different parking stations. In this research an IEEE 33 bus system has been considered which is connected to the main grid and wind turbines have been used as distributed energy resources with electric vehicles as storage devices to reduce the intermittency of wind power generation. Optimal locations for wind and electric vehicle integration have been obtained by using minimum voltage and maximum power loss concept, then the optimal power at the different optimal locations is found out using the particle swarm optimization technique which improves the voltage profile and reduces the power loss of the system under consideration. The discharging and the charging patterns of the electric vehicles is also decided by the same depending upon the availability of the wind power.
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微电网环境下V2G站的优化配置:需求响应
汽车到电网技术是一个引人注目的研究领域,因为它提高了电网的可靠性,降低了运行成本和温室气体排放,并通过其双向能量传输能力帮助平衡供需,进一步提高了电动汽车的经济可行性,吸引了大量来自电领域的研究人员。电动汽车在不同的停车场使用车辆到电网的概念提供移动储能设施。本研究考虑了IEEE 33总线系统,该系统与主电网连接,采用风力发电机作为分布式能源,电动汽车作为存储设备,以减少风力发电的间歇性。采用最小电压和最大功率损耗的概念求出了风电与电动汽车集成的最优位置,然后利用粒子群优化技术求出了不同最优位置上的最优功率,改善了系统的电压分布,降低了系统的功率损耗。电动汽车的放电和充电模式也由相同的决定,取决于风力的可用性。
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