Decentralized Electric Vehicle Charging Strategies for Reduced Load Variation and Guaranteed Charge Completion in Regional Distribution Grids

被引:34
作者
Zhang, Weige [1 ]
Zhang, Di [1 ]
Mu, Biqiang [2 ]
Wang, Le Yi [3 ]
Bao, Yan [1 ]
Jiang, Jiuchun [1 ]
Morais, Hugo [4 ]
机构
[1] Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr, Beijing 100044, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
[3] Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
[4] ISEP IPP, Res Grp Intelligent Engn & Comp Adv Innovat & Dev, P-4249 Oporto, Portugal
来源
ENERGIES | 2017年 / 10卷 / 02期
关键词
battery storage system; decentralized charging strategy; distribution grid; electric vehicle; load variation; LITHIUM-ION BATTERIES; SMART GRIDS; DISTRIBUTION-SYSTEMS; MANAGEMENT; NETWORKS; IMPACTS; DEMAND; MODEL;
D O I
10.3390/en10020147
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A novel, fully decentralized strategy to coordinate charge operation of electric vehicles is proposed in this paper. Based on stochastic switching control of on-board chargers, this strategy ensures high-efficiency charging, reduces load variations to the grid during charging periods, achieves charge completion with high probability, and accomplishes approximate valley-filling. Further improvements on the core strategy, including individualized power management, adaptive strategies, and battery support systems, are introduced to further reduce power fluctuation variances and to guarantee charge completion. Stochastic analysis is performed to establish the main properties of the strategies and to quantitatively show the performance improvements. Compared with the existing decentralized charging strategies, the strategies proposed in this paper can be implemented without any information exchange between grid operators and electric vehicles (EVs), resulting in a communications cost reduction. Additionally, it is shown that by using stochastic charging rules, a grid-supporting battery system with a very small energy capacity can achieve substantial reduction of EV load fluctuations with high confidence. An extensive set of simulations and case studies with real-world data are used to demonstrate the benefits of the proposed strategies.
引用
收藏
页数:19
相关论文
共 40 条
[1]   A Multistage Centralized Control Scheme for Islanded Microgrids With PEVs [J].
Abdelaziz, Morad Mohamed Abdelmageed ;
Shaaban, Mostafa F. ;
Farag, Hany E. ;
El-Saadany, Ehab F. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (03) :927-937
[2]   Optimal Charging Scheduling of Electric Vehicles in Smart Grids by Heuristic Algorithms [J].
Alonso, Monica ;
Amaris, Hortensia ;
Gardy Germain, Jean ;
Manuel Galan, Juan .
ENERGIES, 2014, 7 (04) :2449-2475
[3]  
[Anonymous], 1998, An introduction to stochastic modeling
[4]  
[Anonymous], 2001, Probability, Random Variables and Stochastic Processes
[5]  
Antonio C., 2014, METHODOLOGY APPL SPA, V7, P1207
[6]  
Ash R., 1972, Real Analysis and Probability: Probability and Mathematical Statistics: a Series of Monographs and Textbooks, DOI DOI 10.1016/C2013-0-06164-6
[7]   PEV Charging Profile Prediction and Analysis Based on Vehicle Usage Data [J].
Ashtari, Ali ;
Bibeau, Eric ;
Shahidinejad, Soheil ;
Molinski, Tom .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) :341-350
[8]  
Bakker S., 2013, Standardization of EV Recharging Infrastructures
[9]   A review on lithium-ion battery ageing mechanisms and estimations for automotive applications [J].
Barre, Anthony ;
Deguilhem, Benjamin ;
Grolleau, Sebastien ;
Gerard, Mathias ;
Suard, Frederic ;
Riu, Delphine .
JOURNAL OF POWER SOURCES, 2013, 241 :680-689
[10]   The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid [J].
Clement-Nyns, Kristien ;
Haesen, Edwin ;
Driesen, Johan .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (01) :371-380