Multi-objective Optimization Charging Strategy for Plug-in Electric Vehicles Based on Dynamic Time-of-use Price
DOI: 10.23977/jeeem.2017.12001 | Downloads: 30 | Views: 3316
Junxing Zhu 1, Baoyi Wang 1, Chenxu Wang 1, Shaomin Zhang 1
1 School of Control and Computer Engineering, North China Electric Power University, Baoding, 071003, China
Corresponding AuthorShaomin Zhang
With the increase of plug-in electric vehicles (PEV), the uncontrolled charging of them may pose a wide pressure on the operation of regional distribution network. In order to reduce adverse impacts of PEVs, an intelligent charging strategy for a cluster of PEVs is proposed. Considering several constraints such as the charger’s maximum charging power, a multi-objective optimization scheduling model is proposed with the objectives of minimizing the total charging cost and minimizing load variance basing on dynamic time-of-use (TOU) price. The Non-dominated Sorting Genetic Algorithm II (NSGA-Ⅱ) is adopted to solve the optimization problem, and the MATLAB calculation results prove the feasibility and effectiveness of the proposed strategy. Factors such as the number of PEVs, the TOU price and the length of time-window are also analyzed to further study PEV charging load’s characteristics.
KEYWORDSPlug-in electric vehicle; coordinated charging; time-of-use price; multi-objective optimization; impact analysis
CITE THIS PAPER
Shaomin, Z., Chenxu, W.,Baoyi, W., Junxing Z. (2017) Multi-objective Optimization Charging Strategy for Plug-in Electric Vehicles Based on Dynamic Time-of-use Price. Journal of Electrotechnology, Electrical Engineering and Management (2017) Vol.2, Num.1: 28-34.
 Ferdowsi M，Vehicle Fleet as a distributed energy storage system for the power grid[C]//Proceedings of 2009 IEEE Power Engineering Society General Meeting．Calgary， AB，Canada：2009：1-2．
HU Zechun, SONG Yonghua, XU Zhiwei, LUO Zhuowei, ZHAN Kaiqiao, JIA Long. Impacts and Utilization of Electric Vehicles Integration Into Power Systems[J]. Proceedings of the CSEE,2012,04:1-10+25.
Yang Bo,Chen Wei,Wen Minghao,Chen Xueyou. Probabilistic load modeling for electric vehicle charging station[J]. Automation of Electric Power Systems,2014,16:67-73.
 LIAO Bingjie. Planning of electric vehicle charging facilities and capability evaluation of a distribution network accommodating electric vehicles[D].Zhejiang University,2016.
 LI Haijuan. Research on electric vehicle short-term load forecasting of smart distribution grid[D].Southeast University,2015.
 LI Huiling,BAI xiaomin. Impacts of Electric Vehicles Charging on Distribution Grid[J]. Automation of Electric Power Systems,2011,17:38-43.
 GUO Yi,HU Zechun,ZHANG Hongcai,SU Wencong,ZHAN Kaiqiao,XU Zhiwei. A Statistical Method to Evaluate the Capability of Residential Distribution Network for Accommodating Electric Vehicle Charging Load[J]. Power System Technology,2015,09:2458-2464.
 Qi Wei ，Xu Zhiwei，Shen Zuo-Jun Max，et al．Hierarchical coordinated control of plug-in electric vehicles charging in mul1tifamily dwellings[J]．IEEE Trans. on Smart Grid，2014，5(3)：1465-1474．
 Xu Zhiwei，Hu Zechun，Song Yonghua，et al.Coordinated charging of plug-in electric vehicles incharging stations[J] ． Automation of Electric Power Systems，2012，36(11)：38-43(in Chinese)．
 SORTOMME E, HINDI M M, MACPHERSON S D J,et al. Coordinated charging of plug-in hybrid electric vehicles to minimize distribution system losses[J]. IEEE Transactions on Smart Grid, 2011, 2(1): 198-205.
 MA, TAN, OSAMA MOHAMMED. Optimal charging of plug-in electric vehicles for a car park infrastructure[C] //Industry Applications Society Annual Meeting, IEEE Conference Publications, Las Vegas, 2012: 1-8.
 SU W C, CHOW M Y. Performance evaluation of a PHEV parking station using particle swarm optimization[C]// Power and Energy Society General Meeting, IEEE Conference Publications, Detroit Michigan, 2011: 1-6.