|
|
|
| The time-of-use price optimization of electric vehicle charging and discharging based on clustering algorithm |
| Song Jian1, Li Mengjia2, Liu Nan3, Jing Peibo1, Guo Yaxin3 |
1. State Grid Shandong Dongying Electric Power Company, Dongying, Shandong 257091;
2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, Shandong 266590;
3. The limited company of Dongying Fangda about Electric Power Design and Planning, Dongying, Shandong 257091 |
|
|
|
|
Abstract With the increase of electric vehicles, uncontrolled charging of electric vehicle will bring greater negative influence to the power system operation. At the same time, along with the electricity market reformation, the implementation of TOU price is the inevitable choice. Through a reasonable set of charging and discharging TOU price can guide the electric vehicle users. In this paper, private cars are taken as the research object. According to the user's charging duration and charging start time characteristics, the K-means clustering analysis is performed to obtain the user's daily charging rules. Therefore, an objective function for reducing grid fluctuations and the user's electricity cost is established. Finally, the optimal time-of-use price is solved by cuckoo search (CS) algorithm. Through the example of the actual load of a community, the scheduling strategy can effectively reduce user electricity cost and improve the operation of the power grid.
|
|
Received: 24 March 2018
Published: 31 August 2018
|
|
|
|
| Cite this article: |
|
Song Jian,Li Mengjia,Liu Nan等. The time-of-use price optimization of electric vehicle charging and discharging based on clustering algorithm[J]. Electrical Engineering, 2018, 19(8): 168-173.
|
|
|
|
| URL: |
|
http://dqjs.cesmedia.cn/EN/Y2018/V19/I8/168
|
[1] 王锡凡, 邵成成, 王秀丽, 等. 电动汽车充电负荷与调度控制策略综述[J]. 中国电机工程学报, 2013, 33(1): 1-10, 前插1.
[2] 魏大钧, 张承慧, 孙波, 等. 基于分时电价的电动汽车充放电多目标优化调度[J]. 电网技术, 2014, 38(11): 2972-2977.
[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.
[4] 冯培磊, 董治全, 徐天奇, 等. 电动汽车入网控制策略研究综述[J]. 电气技术, 2017, 18(12): 8-14, 18.
[5] Nguyen H K, Song Jubin.Optimal charging and discharging for multiple PHEVs with demand side management in Vehicle-to-Building[J]. Journal of Communications and Networks, 2012, 14(6): 662-671.
[6] 孙近文, 万云飞, 郑培文, 等. 基于需求侧管理的电动汽车有序充放电策略[J]. 电工技术学报, 2014, 29(8): 64-69.
[7] 孙晓明, 王玮, 苏粟, 等. 基于分时电价的电动汽车有序充电控制策略设计[J]. 电力系统自动化, 2013, 37(1): 191-195.
[8] Zhang H, Ai X, Gao Z, et al.Study on orderly charging management of EVs based on demand response[J]. Transportation Electrification Asia-Pacific, IEEE, 2014: 1-5.
[9] 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.
[10] 王雅, 曾成碧, 苗虹, 等. 基于K-means聚类的有序充放电多目标调度模型[J]. 电力建设, 2016, 37(7): 99-104.
[11] Yang Xinshe, Deb S.Cuckoo search via levey flights[C]//2009 WORLD CONGRESS ON NATURE \& BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009), 2009: 210.
[12] 李煜, 马良. 新型元启发式布谷鸟搜索算法[J]. 系统工程, 2012, 30(8): 64-69. |
|
|
|
2018, Vol. 19 
