低碳经济下电动汽车集群与电力系统间的协调优化运行

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Abstract

With large scale of electric vehicles (EVs) connected to the power system, the stochastic of EVs charging/discharging process has great influence on power system scheduling. In this paper, after describing the interactive mechanism of EVs and power grid, the cluster operation modes of EVs are proposed so as to analyze their effects on generation scheduling. On low-carbon economy basis, a coordination operation model of EVs and the system, with the objective of minimizing the generation cost, CO₂ emission cost and subsidies for V2G service is developed. The new model takes the relevant constraints of EVs driving demand, carbon emission allowance, and carbon trading mechanism into account. The reasonability and validity of the proposed model is proved by case studies based on a ten-unit test system.

Key words： Low-carbon economy electric vehicle EVs cluster operation mode coordination operation

Received: 16 January 2016 Published: 22 March 2017

PACS:

TM732

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	Lou Suhua
	Zhang Lijing
	Wu Yaowu
	Wang Yongcan

Cite this article:

Lou Suhua,Zhang Lijing,Wu Yaowu等. Coordination Operation of Electric Vehicles and Power System under Low-Carbon Economy[J]. Transactions of China Electrotechnical Society, 2017, 32(5): 176-183.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I5/176

[1] Labatt S,White R R.Carbon finance:the financial implications of climate change[M].Hoboken,NJ:Wiley,2007.
[2] 卢斯煜,娄素华,吴耀武.低碳经济下基于排放轨迹约束的电力系统电源扩展规划模型[J].电工技术学报,2011,26(11):175-181.
Lu Siyu,Lou Suhua,Wu Yaowu.A model for generation expansion planning of power system based on carbon emission trajectory model under low-carbon economy[J].Transactions of China Electrotechnical Society,2011,26(11):175-181.
[3] 佟晶晶,温俊强,王丹,等.基于分时电价的电动汽车多目标优化充电策略[J].电力系统保护与控制,2016,44(1):17-23.
Tong Jingjing,Wen Junqiang,Wang Dan,et al.Multi-objective optimization charging strategy for plug-in electric vehicles based on time-of-use price[J].Power System Protection and Control,2016,44(1):17-23.
[4] 陈启鑫,康重庆,夏清,等.低碳电力调度方式及其决策模型[J].电力系统自动化,2010,34(12):18-23.
Chen Qixin,Kang Chongqing,Xia Qing,et al.Mechanism and modeling approach of low-carbon power dispatch[J].Automation of Electric Power Systems,2010,34(12):18-23.
[5] Song Yuqian,Zhong Jin,Liu Jianing,et al.Economic dispatch model considering policy-guided carbon trading mechanisms[C]//Proceedings of IEEE Grenoble Power Technology,2013:1-6.
[6] 张聪,许晓慧,孙海顺,等.基于自适应遗传算法的规模化电动汽车智能充电策略研究[J].电力系统保护与控制,2014,42(14):19-24.
Zhang Cong,Xu Xiaohui,Sun Haishun,et al.Smart charging strategy of large-scale electric vehicles based on adaptive genetic algorithm[J].Power System Protection and Control,2014,42(14):19-24.
[7] Saber A M,Venayagamoorthy G K.Optimization of vehicle-to-grid scheduling in constrained parking lots[C]//Proceedings of IEEE Power & Energy Society General Meeting,2009:1-8.
[8] 张聪,张祥文,夏俊荣,等.电动汽车实时可调度容量评估方法研究[J].电力系统保护与控制,2015,43(22):99-106.
Zhang Cong,Zhang Xiangwen,Xia Junrong,et al.Research on estimation of electric vehicles real-time schedulable capacity[J].Power System Protection and Control,2015,43(22):99-106.
[9] Li Z S,Guo Q L,Sun H B,et al.A decentralized optimization method to track electric vehicle aggregator′s optimal charging plan[C]// Proceedings of IEEE Power & Energy Society General Meeting,2014:1-5.
[10]Xi X L,Yu C W.Impacts of emission trading on carbon,electricity,renewable markets:a review[C]//Proceedings of IEEE Power & Energy Society General Meeting,2010:1-7.
[11]Saber A Y,Venayagamoorthy G K.Plug-in vehicles and renewable energy sources for cost and emission reductions[J].IEEE Transactions on Industrial Electronics,2011,58(4):1229-1238.
[12]国家发改委应对气候变化司.2014年中国区域电网基准线排放因子[EB/OL].[2015-05-11].http://cdm.ccchina.gov.cn./archiver/cdmcn/UpFile/Files/Default/ 20150204155537627092.pdf.
[13]Ting T O,Rao M V C,Loo C K.A novel approach for unit commitment problem via an effective hybrid particle swarm optimization[J].IEEE Transactions on Power Systems,2006,21(1):411-418.
[14]Lou Suhua,Lu Siyu,Wu Yaowu.Optimizing spinning reserve requirement of power system with carbon capture plants[J].IEEE Transactions on Power Systems,2015,30(2):1056-1063.
[15]Ortega-Vazquez M A,Bouffard F,Silva S.Electric vehicle aggregator/system operator coordination for charging scheduling and services procurement[J].IEEE Transactions on Power Systems,2013,28(2):1806-1815.
[16]徐浩,苗世洪,钱甜甜,等.计及多日一充模式的规模化电动汽车负荷建模策略[J].电工技术学报,2015,30(9):130-137.
Xu Hao,Miao Shihong,Qian Tiantian,et al.A modeling strategy for charging loads of large-scale electric vehicles considering multi-days spaced charging mode[J]. Transactions of China Electrotechnical Society,2015,30(9):130-137.
[17]Ortega-Vazquez M A.Optimal scheduling of electric vehicle charging and vehicle-to-grid services at household level including battery degradation and price uncertainty[J].IET Generation,Transmission & Distribution,2014,8(6):1007-1016.
[18]Darabi Z,Ferdowsi M.Aggregated impact of plug-in hybrid electric vehicles on electricity demand profile[J].IEEE Transactions on Sustainable Energy,2011,2(4):501-508.
[19]Balram P,Tuan L A,Tjernberg L B.Effects of plug-in electric vehicle charge scheduling on the day-ahead electricity market price[C]//The 3rd IEEE PES Innovative Smart Grid Technologies Europe,2012:1-8.