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Optimal placement of photo-voltaic array and electric vehicles in distribution system under load uncertainty

机译:负载不确定性条件下光伏阵列和电动汽车在配电系统中的优化布置

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This paper presents a simultaneous optimal placement of photo-voltaic (PV) array and Electric Vehicles (EVs) in distribution system for real power loss reduction and voltage profile enhancement. The optimal allocation of PV array and EVs in distribution system is identified through Artificial Bee Colony (ABC) population based meta-heuristic optimization algorithm. In addition, uncertain load demand of 24 hours for each bus is considered in this study. The power generated by PV array at solar irradiance s for each hour is injected into grid for improving the power loss reduction. EVs Charging and discharging during 24 hours are also being discussed in this paper. In charging mode the EVs act as a load on the system while in discharging mode EVs behave as a power source and transfer power to a network for fulfill the load demand. Different case studies related to PV and EVs are analyzed under load uncertainty. Simultaneous placement of both indicates better results.
机译:本文提出了光伏(PV)阵列和电动汽车(EV)在配电系统中的同时最佳放置,以减少实际功耗并提高电压分布。通过基于人工蜂群(ABC)种群的元启发式优化算法,确定配电系统中光伏阵列和电动汽车的最佳分配。此外,本研究考虑了每辆公交车24小时的不确定负载需求。光伏阵列每小时在太阳辐射s下产生的功率被注入到电网中,以改善功率损耗的降低。本文还讨论了电动汽车在24小时内的充电和放电。在充电模式下,EV充当系统上的负载,而在放电模式下,EV充当电源并将电力传输到网络,以满足负载需求。在负载不确定的情况下分析了与PV和EV相关的不同案例研究。两者同时放置表明更好的结果。

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