Distributed Control of PEV Charging Based on Energy Demand Forecast

被引:98
作者
Kisacikoglu, Mithat C. [1 ]
Erden, Fatih [2 ]
Erdogan, Nuh [3 ]
机构
[1] Univ Alabama, Dept Elect & Comp Engn, Tuscaloosa, AL 35487 USA
[2] Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey
[3] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
关键词
Distributed control; grid integration; peak shaving; plug-in electric vehicle (PEV); smart charging; IN ELECTRIC VEHICLES; GENERATION; ALGORITHM; NETWORKS; SYSTEMS; IMPACT;
D O I
10.1109/TII.2017.2705075
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a new distributed smart charging strategy for grid integration of plug-in electric vehicles (PEVs). The main goal is to smooth the daily grid load profile while ensuring that each PEV has a desired state of charge level at the time of departure. Communication and computational overhead, and PEV user privacy are also considered during the development of the proposed strategy. It consists of two stages: 1) an offline process to estimate a reference operating power level based on the forecasted mobility energy demand and base loading profile, and 2) a real-time process to determine the charging power for each PEV so that the aggregated load tracks the reference loading level. Tests are carried out both on primary and secondary distribution networks for different heuristic charging scenarios and PEV penetration levels. Results are compared to that of the optimal solution and other state-of-the-art techniques in terms of variance and peak values, and shown to be competitive. Finally, a real vehicle test implementation is done using a commercial-of-the-shelf charging station and an electric vehicle.
引用
收藏
页码:332 / 341
页数:10
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