Optimal Management for Parking-Lot Electric Vehicle Charging by Two-Stage Approximate Dynamic Programming

被引:131
作者
Zhang, Lei [1 ,2 ]
Li, Yaoyu [3 ]
机构
[1] Univ Texas Dallas, Dept Elect Engn, Richardson, TX 75080 USA
[2] Walmart Labs, Sunnyvale, CA 94085 USA
[3] Univ Texas Dallas, Dept Mech Engn, Richardson, TX 75080 USA
关键词
Charging management; demand response; electric vehicle; approximate dynamic programming; smart grid; ALGORITHM; DEMAND;
D O I
10.1109/TSG.2015.2505298
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper targets the day-time charging scenario for plug-in electric vehicles at parking-lots near commercial places, where most vehicles have extended parking time. Compared with night-time charge scenarios for residential buildings, commercial building parking-lot charging during day-time feature significant stochastic vehicle arrival and departure, as well as highly dynamic electricity price. A two-stage approximate dynamic programming framework is proposed to determine the optimal charging strategy, utilizing the predicted short-term future information and long-term estimation from historical data. All the vehicles are desired to be charged to full prior to the departure time specified under constrained total charging capacity. The uncharged amount is subject to a significant penalty cost. Simulation scenarios are created by modeling the vehicle arrival behavior as Poisson process, including arrival time, departure time, and arrival state of charge. The simulation results show that the proposed method can significantly decrease the energy cost.
引用
收藏
页码:1722 / 1730
页数:9
相关论文
共 26 条
[1]  
[Anonymous], 1991, Nearest neighbor (NN) norms: NN pattern classification techniques
[2]  
[Anonymous], P 26 ANN E C SKYT PA
[3]  
[Anonymous], 1961, Adaptive Control Processes: a Guided Tour, DOI DOI 10.1515/9781400874668
[4]  
[Anonymous], P 44 IEEE C DEC CONT
[5]  
[Anonymous], 2011, Approximate dynamic programming: Solving the curses of dimensionality
[6]   Spatial and Temporal Model of Electric Vehicle Charging Demand [J].
Bae, Sungwoo ;
Kwasinski, Alexis .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) :394-403
[7]  
Bertsekas D. P., 1996, NEURODYNAMIC PROGRAM
[8]  
Clement K., 2009, PROC IEEE POWER SYST, P1
[9]   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
[10]   Day-ahead electricity price forecasting using the wavelet transform and ARIMA models [J].
Conejo, AJ ;
Plazas, MA ;
Espínola, R ;
Molina, AB .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :1035-1042