Smart plug-in electric vehicle charging to reduce electric load variation at a parking place
Smart plug-in electric vehicle charging to reduce electric load variation at a parking place
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智能插电式电动汽车充电可减少停车场的电力负荷变化
DOI：
10.1109/ccwc.2018.8301710
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Amar Nath Patra
中科院分区：
文献类型：
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作者：
R. Shukla;S. Sengupta;Amar Nath Patra
在一天中的不同时间具有较小变化的电力需求避免了对电力电子设备的任何不利影响，降低了电力成本，并且简化了来自智能电网的电能需求预测。本文描述了一种智能聚合器架构，用于在大型停车场自动化插电式电动汽车（PEV）充电，以减少动态负载变化。我们提出了一套新的矩形布局的算法来调度PEV充电的基础上，他们的到达，离开时间在停车场和他们的充电要求。所提出的算法还确定PEV应该被充电的电压水平，以改善需求侧电力负荷分布。所提出的算法满足了每辆PEV的充电需求，减少了负载波动，提高了停车场的负载率。仿真结果表明，该方法提供了显着的改善有关的负载变化和负载因子。值得注意的是，该方法比传统的基于先到先服务（FCFS）的PEV在停车场充电更好。
Electricity demand having less variation at different times in a day avoids any detrimental effect on power electronic equipments, reduces electricity cost, and simplifies the electric energy demand prediction from the smart grid. This paper delineates an intelligent aggregator architecture to automate Plug-in Electric Vehicle (PEV) charging in large parking places to reduce dynamic load variation. We present a set of novel rectangle placement based algorithms to schedule the PEV charging based on their arrival, departure time at parking place and their charging requirement. The proposed algorithms also determine the voltage level at which PEVs should be charged to improve demand side electric load profile. The presented algorithms meet the charging requirement of every PEV, reduce load variation, and increase load factor at the parking place. Simulation results interpret that the proposed method provides significant improvement regarding load variation and load factor. Notably, the methodology performs better than the traditional First come, First serve (FCFS) based PEV charging at a parking lot.