Quasi-real-time Coordinated Charging/Discharging Policy for Electric Vehicles
Tan Xiaobo1,2,Zhao Hai1,Peng Haixia1,3,Li Dazhou4
1.School of Information Science and Technology Northeastern University Shenyang 110819 China 2.School of Information Science and Technology Shenyang Ligong University Shenyang 110159 China 3.Laboratory of Broadband Communications University of Waterloo Waterloo N2L3G1 Canada 4.School of Computer Science and Technology Shenyang University of Chemical Technology Shenyang 110142 China
Abstract:As an important component of future InterGrid,Electric vehicles have gained more and more attentions.Aimed at the electric vehicle charging/discharging problem,this paper proposes a quasi-real-time coordinated charging/discharging multi-agent system.The system provides quasi-real-time information for charging/discharging decision by using M/G/∞ queuing model to predict future electric vehicle charging load demands in a short time.The goal of the two-stage optimizationpolicy is to maximize the users’ satisfaction and to minimize the charging costs without violating the power system constraints,which meets the charging demands and saves the users’ charging costs.Simulation results show that the multi-agent system with two-stage optimization policy can realize the coordinated electric vehicle charging/discharging management at high penetration efficiently and improve the system robustness.
谭小波,赵海,彭海霞,李大舟. 电动汽车准实时协同充放电策略[J]. 电工技术学报, 2015, 30(13): 69-76.
Tan Xiaobo ,Zhao Hai ,Peng Haixia ,Li Dazhou. Quasi-real-time Coordinated Charging/Discharging Policy for Electric Vehicles. Transactions of China Electrotechnical Society, 2015, 30(13): 69-76.
[1] Song Yonghua,Xia Yang,Lu Zongxiang.Integration of plug-in hybrid and electric vehicles:experience from China[C].Power and Energy Society General Meeting,Minneapolis,MN,2010:1-6. [2] 来小康.智能电网:电动汽车发展的支撑[N].国家电网报,2010-7-29(6). [3] 田立亭,史双龙,贾卓.电动汽车充电功率需求的统计学建模方法[J].电网技术,2010,34(11):126-130. Tian Liting,Shi Shuanglong,Jia Zhuo.A statistical model for charging power demand of electric vehicles[J].Power System Technology,2010,34(11):126-130. [4] 刘晓飞,张千帆,崔淑梅.电动汽车V2G技术综述[J].电工技术学报,2012,27(2):121-127. Liu Xiaofei,Zhang Qianfan,Cui Shumei.Review of electric vehicle V2G technology[J].Transactions of China Electrotechnical Society,2012,27(2):121-127. [5] 陈征,肖湘宁,路欣怡,等.含光伏发电系统的电动汽车充电站多目标容量优化配置方法[J].电工技术学报,2013,28(6):238-248. Chen Zheng,Xiao Xiangning,Lu Xinyi,et al.Multi-objective optimization for capacity configuration of PV-based electric vehicle charging stations[J].Transactions of China Electrotechnical Society,2013,28(6):238-248. [6] 张谦,韩维健,俞集辉,等.电动汽车充电站仿真模型及其对电网谐波影响[J].电工技术学报,2012,27(2):159-164. Zhang Qian,Han Weijian,Yu Jihui,et al.Simulation model of electric vehicle charging station and the harmonic analysis on power grid[J].Transactions of China Electrotechnical Society,2012,27(2):159-164. [7] Verzijlbergh R A,Grond M O W,Lukszo Z,et al.Network impacts and cost savings of controlled EV charging[J].IEEE Transactions on Smart Grid,2012,3(3):1203-1212. [8] Sundstroem O,Binding C.Flexible charging optimization for electric vehicles considering distribution grid constraints[J].IEEE Transactions on Smart Grid,2012,3(1):26-37. [9] 王建,刘志珍.电动汽车充电对配电网负荷的影响及有序控制研究[J].电力自动化设备,2013,33(8):47-52. Wang Jian,Liu Zhizhen.Impact of electric vehicle charging on distribution network load and coordinated control[J].Electric Power Automation Equipment,2013,33(8):47-52. [10]Cao Yijia,Tang Shengwei,Li Canbing,et al.An optimized EV charging model considering TOU price and SOC curve[J].IEEE Transactions on Smart Grid,2012,3(1):388-393. [11]Logenthiran T,Srinivasan D,Shun Tanzong.Demand side management in smart grid using heuristic optimization[J].IEEE Transactions on Smart Grid,2012,3(3):1244-1252. [12]He Y,Venkatesh B,Guan L.Optimal scheduling for charging and discharging of electric vehicles[J].IEEE Transactions on Smart Grid,2011,2(3):1095-1105. [13]Liang Hao,Bong Junchoi,Zhuang Weihua,et al.Optimizing the energy delivery via V2G systems based on stochastic inventory theory[J].IEEE Transactions on Smart Grid,2013,4(4):2230-2243. [14]Khayyam H,Abawajy J,Javadi B,et al.Intelligent battery energy management and control for vehicle-to-grid via cloud computing network[J].Applied Energy,2013,111:971-981. [15]Mandjes M R H,Zuraniewski P.M/G/infinity transience and its applications to overload detection[J].Performance Evaluation,2009,68(6):507-527. [16]Yang N C,Tseng W C.Adaptive three-phase power-flow solutions for smart grids with plug-in hybrid electric vehicles[J].Electrical Power and Energy Systems,2015,64:1166-1175. [17]Huang Jing,Gupta V,Huang Y F.Scheduling algorithms for PHEV charging in shared parking lots[C].IEEE America Control Conference,Montreal,QC,2012:276-281.