Abstract：The price of electricity is an important factor in incentivizing the participation of electric vehicles in grid dispatching. How to determine reasonable incentive price through negotiation is one of the main concerns to both grid and electric vehicles. In order to solve this problem, the negotiation strategy of electric vehicles participating in system peak shaving under multi-agent situation is studied, and a two-stage negotiation model of electric vehicle’s discharging price considering multi-agent is established. First of all, according to the cost accounting of the electric vehicle agent and the electricity company as well as the estimation of each other's cost, the acceptable price range for multiple negotiators is obtained. Then, the price range is substituted into the two-stage negotiation model. In the first stage, each participant conducts tentative quotation; in the second stage, participants update their own quotations through learning from each other and finally the electric vehicle discharging price will be obtained. At last, a case simulation is conducted to verify the rationality and effectiveness of the proposed model.
张谦, 丁铸玮, 谭维玉, 谢文睿, 李嫣. 计及多代理的电动汽车放电电价两阶段谈判策略[J]. 电工技术学报, 2018, 33(zk2): 616-628.
Zhang Qian, Ding Zhuwei, Tan Weiyu, Xie Wenrui, Li Yan. A Two-Stage Negotiation Strategy of Discharging Price for Electric Vehicle Considering Multi-Agent. Transactions of China Electrotechnical Society, 2018, 33(zk2): 616-628.
[1] 马玲玲, 杨军, 付聪, 等. 电动汽车充放电对电网影响研究综述[J]. 电力系统保护与控制, 2013, 41(3): 140-148. Ma Lingling, Yang Jun, Fu Cong, et al.Review on impact of electric car charging and discharging on power grid[J]. Power System Protection and Control, 2013, 41(3): 140-148. [2] Xing Hao, Fu Minyue, Lin Zhiyun, et al.Decentra- lized optimal scheduling for charging and discharging of plug-in electric vehicles in smart grids[J]. IEEE Transactions on Power Systems, 2016, 31(5): 4118-4127. [3] 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. [4] 肖浩, 裴玮, 孔力. 含大规模电动汽车接入的主动配电网多目标优化调度方法[J]. 电工技术学报, 2017, 32(增刊2): 179-189. Xiao Hao, Pei Wei, Kong Li.Multi-objective optimi- zation scheduling method for active distribution network with large scale electric vehicles[J]. Transactions of China Electrotechnical Society, 2017, 32(S2): 179-189. [5] Knezovic K, Soroudi A, Keane A, et al.Robust multi-objective PQ scheduling for electric vehicles in flexible unbalanced distribution grids[J]. IET Gener- ation Transmission & Distribution, 2017, 11(16): 4031-4040. [6] 黄贵鸿, 雷霞, 杨毅, 等. 考虑风电与用户满意度的电动汽车两层智能充放电策略[J]. 电工技术学报, 2015, 30(5): 85-97. Huang Guihong, Lei Xia, Yang Yi, et al.Two-layer smart charge-discharge strategies for electric vehicles considering wind generation and users’ sati- sfaction[J]. Transactions of China Electrotechnical Society, 2015, 30(5): 85-97. [7] 黄小庆, 陈颉, 谢啟波, 等. 用户充电选择对电网充电调度的影响[J]. 电工技术学报, 2018, 33(13): 3002-3011. Huang Xiaoqing, Chen Wei, Xie Qibo, et al.The influence of users’ charging selection on charging schedule power grid[J]. Transactions of China Electrotechnical Society, 2018, 33(13): 3002-3011. [8] 刘伟佳, 文福拴, 薛禹胜, 等. 电动汽车参与电力系统优化调度的谈判策略[J]. 电力系统自动化, 2015, 39(17): 192-200. Liu Weijia, Wen Fushuan, Xue Yusheng, et al.Negotiation strategies for participation of electric vehicles in power system optimal dispatching[J]. Automation of Electric Power Systems, 2015, 39(17): 192-200. [9] 孙丙香, 阮海军, 许文中, 等. 基于静态非合作博弈的电动汽车充电电价影响因素量化分析[J]. 电工技术学报, 2016, 31(21): 75-85. Sun Bingxiang, Ruan Haijun, Xu Wenzhong, et al.Quantitative analysis of influence factors about ev’s charging electricity price based on the static non- cooperative game theory[J]. Transactions of China Electrotechnical Society, 2016, 31(21): 75-85. [10] 项顶, 宋永华, 胡泽春, 等. 电动汽车参与V2G的最优峰谷电价研究[J]. 中国电机工程学报, 2013, 33(31): 15-25. Xiang Ding, Song Yonghua, Hu Zechun, et al.Research on optimal time of use price for electric vehicle participating V2G[J]. Proceedings of the CSEE, 2013, 33(31): 15-25. [11] 辛昊, 严正, 许少伦. 基于多代理系统的电动汽车协调充电策略[J]. 电网技术, 2015, 39(1): 48-54. Xin Hao, Yan Zheng, Xu Shaolun.Multi-agent system based coordinated charging strategy for electric vehicles[J]. Power System Technology, 2015, 39(1): 48-54. [12] 戴诗容, 雷霞, 程道卫, 等. 分散式电动汽车入网策略研究[J]. 电工技术学报, 2014, 29(8): 57-63. Dai Shirong, Lei Xia, Cheng Daowei, et al.Study on V2G strategy of distributed electric vehicles[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 57-63. [13] Wu Hongyu, Shahidehpour M, Alabdulwahab A, et al.A game theoretic approach to risk-based optimal bidding strategies for electric vehicle aggregators in electricity markets with variable wind energy resources[J]. IEEE Transactions on Sustainable Energy, 2017, 7(1): 374-385. [14] 葛少云, 黄镠, 刘洪. 电动汽车有序充电的峰谷电价时段优化[J]. 电力系统保护与控制, 2012, 40(10): 1-5. Ge Shaoyun, Huang Liu, Liu Hong.Optimization of peak-valley TOU power price time-period in orderedcharging mode of electric vehicle[J]. Power System Protection and Control, 2012, 40(10): 1-5. [15] 朴龙健, 艾芊, 余志文, 等. 计及客户满意度的电动汽车多代理充电定价策略[J]. 电力系统自动化, 2015, 39(22): 68-75, 82. Piao Longjian, Ai Qian, Yu Zhiwen, et al.Multi- agent-based pricing strategy for electric vehicle charging considering customer satisfaction degree[J]. Automation of Electric Power Systems, 2015, 39(22): 68-75, 82. [16] 麻秀范, 王超, 洪潇, 等. 基于实时电价的电动汽车充放电优化策略和经济调度模型[J]. 电工技术学报, 2016, 31(增刊1): 190-202. Ma Xiufan, Wang Chao, Hong Xiao, et al.Optimal scheduling of charging and discharging of electric vehicle based on real time price and economic dispatch model[J]. Transactions of China Electro- technical Society, 2016, 31(S1): 190-202. [17] 张谦, 蔡家佳, 李春燕, 等. 基于模糊贝叶斯学习的电动汽车放电电价谈判策略[J]. 中国电机工程学报, 2018, 38(1): 61-71, 343. Zhang Qian, Cai Jiajia, Li Chunyan, et al.The negotiation strategy of discharging price of electric vehicle based on fuzzy bayesian learning[J]. Proceedings of the CSEE, 2018, 38(1): 61-71, 343. [18] 李成伟, 刘俊勇, 魏震波. 基于博弈论的电动汽车放电电价研究[J]. 华东电力, 2013, 41(6): 1329-1334. Li Chengwei, Liu Junyong, Wei Zhenbo.Discharge price of electric vehicles based on game theory[J]. East China Electric Power, 2013, 41(6): 1329-1334. [19] Kempton W, Kubo T.Electric-drive vehicles for peak power in Japan[J]. Energy Policy, 2000, 28(1): 9-18. [20] 浙江省物价局. 浙江省物价局关于降低一般工商业电价有关事项的通知[EB/OL].[2018-04-27]. http:// www.zjpi.gov.cn/WebSite/XinXiCk?xxid=d774efc1-7655-4ef1-b255-7df11a4badc. [21] Shao Shengnan, Pipattanasomporn M, Rahman S.Demand response as a load shaping tool in an intelligent grid with electric vehicles[J]. IEEE Transactions on Smart Grid, 2011, 2(4): 624-631. [22] 武玉英, 张礼兴. 基于GA的一对多、多属性谈判模型研究[J]. 微型机与应用, 2009, 28(10): 13-15. Wu Yuying, Zhang Lixing.Research on GA-based one-to-many and multi-attributes negotiation model[J]. Microcomputer Its Applications, 2009, 28(10): 13-15. [23] 汪定伟, 王庆, 宫俊, 等. 双边多轮价格谈判过程的建模与分析[J]. 管理科学学报, 2007, 10(1): 94-98. Wang Dingwei, Wang Qing, Gong Jun, et al.Modeling and analysis of multistage bilateral bargaining process[J]. Journal of Management Sciences in China, 2007, 10(1): 94-98. [24] 刘利兵, 刘天琪, 张涛, 等. 计及电池动态损耗的电动汽车有序充放电策略优化[J]. 电力系统自动化, 2016, 40(5): 83-90. Liu Libing, Liu Tianqi, Zhang Tao, et al.Orderly charging and discharging strategy optimization for electric vehicles considering dynamic battery-wear model[J]. Automation of Electric Power Systems, 2016, 40(5): 83-90. [25] 郑志国. 利润率非平均化[J]. 当代经济研究, 2004(11): 45-49. Zheng Zhiguo.Non-average profit rate[J]. Contem- porary Economic Research, 2004(11): 45-49. [26] 郑志国. 析利润率平均化和非平均化趋势[J]. 经济学家, 2001(2): 88-92. Zheng Zhiguo.An analysis of trends of average profit rate and non-average profit rate[J]. Economist, 2001(2): 88-92.
2018, Vol. 33 
