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首页> 外文期刊>Electrical Systems in Transportation, IET >Day ahead scheduling of PHEVs and D-BESSs in the presence of DGs in the distribution system
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Day ahead scheduling of PHEVs and D-BESSs in the presence of DGs in the distribution system

机译:在分配系统中存在DGS的PHEVS和D-BESS的日期调度

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摘要

The rapid growth of plug-in hybrid electric vehicles (PHEVs)/electric vehicles (EVs) and their capability of providing a vehicle to grid power support in distribution network needs in-depth studies for the effective operation of the distribution system. Charging/discharging of EV from/to the distribution system has significant impacts on the load demand, network congestion, voltage rise/dip, and other operational issues. Power supply from distributed generators (DGs) is utilised during the peak demand hour to avoid the need for upgradation of the distribution systems. In this study, 24-hour day ahead power scheduling of PHEVs (in between arrival and departure time), distributed-battery energy storage system (D-BESS) and DGs is proposed to mitigate its effect on the distribution system. Four objective functions including system operating cost, CO2 emission, energy losses, and load flattening are considered to examine the effect of distributed sources on the 38-bus distribution system. An effective butterfly optimiser is implemented to minimise single weighted objective function. To understand individual as well as combined effect of unscheduled PHEVs charging, scheduled charging/discharging of PHEVs, D-BESS, and DGs various case studies is performed. On the basis of these case studies, optimal scheduling of PHEVs, D-BESS, and DGs are proposed to improve the overall system performance.
机译:插入式混合动力电动车辆(PHEV)/电动车辆(EVS)的快速增长及其在配送网络中为网格电力支持提供车辆的能力需要深入研究分配系统的有效操作。从/到分配系统的EV充电/放电对负载需求,网络拥塞,电压/ DIP和其他操作问题产生了重大影响。在峰值需求小时期间利用来自分布式发电机(DGS)的电源,以避免升级分配系统的需求。在本研究中,提出了24小时的PHEV的电源调度(在抵达和出发时间之间),分布式电池储能系统(D-BESS)和DGS,以减轻其对分配系统的影响。四种目标功能包括系统运营成本,CO2排放,能量损失和负载扁平化,以检查分布式源对38柱分配系统的影响。实施有效的蝴蝶优化器以最大限度地减少单一加权目标函数。为了理解个体以及未安排的PHEV的组合效果,执行PHEVS,D-BES和DGS各种案例研究的调度充电/放电。在这些案例研究的基础上,提出了PHEV,D-BES和DGS的最佳调度,以提高整体系统性能。

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