Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (11): 2508-2513.doi: 10.13229/j.cnki.jdxbgxb20211200

Previous Articles    

Coordination scheduling of electric vehicle charge and discharge using adaptive genetic algorithm

Cui-yu LI1(),Ya-meng HU1,Ya-wei KANG2,De-liang ZHANG1   

  1. 1.School of Industrial Design Engineering，Hubei University of Technology，Wuhan 430068，China
    2.School of Mechanical Engineering，Hubei University of Technology，Wuhan 430068，China
  • Received:2021-11-15 Online:2022-11-01 Published:2022-11-16

RICH HTML

 10   

PDF (PC)

121

Abstract:

Aiming at the problems of long scheduling time， low scheduling accuracy， and large power consumption in the current method for electric vehicle charging and discharging coordinated scheduling， a method for electric vehicle charging and discharging coordinated deployment using adaptive genetic algorithm is proposed. Firstly, through the charging prediction of electric vehicles, the charging facilities of electric vehicles are reasonably planned, and on this basis, the relevant constraints are put forward to establish the charging and discharging cooperative scheduling model of electric vehicles. Then, the model was solved by adaptive genetic particle swarm optimization algorithm.Finally， through the calculation results， the coordinated charging and discharging scheduling of electric vehicles is completed. The experimental results show that the method proposed in this paper has short scheduling time， high accuracy and low power consumption when performing electric vehicle charging and discharging coordinated scheduling.

Key words: adaptive genetic algorithm, particle swarm algorithm, electric vehicle, charging and discharging, collaborative scheduling, scheduling model, charging method

CLC Number: 

  • TM721

Fig.1

Charging facility planning process"

Fig.2

Particle swarm optimization model solution flow chart"

Fig.3

Test results of collaborative scheduling time of three methods in different environments"

Fig.4

Circuit load rate test results of different cooperative scheduling methods"

Fig.5

Energy consumption test results of different collaborative scheduling methods"

1 张丽, 朱孝勇, 左月飞. 电动汽车用转子永磁型无刷电机与控制系统容错技术综述[J]. 中国电机工程学报, 2019, 39(6): 1792-1802, 1875.
Zhang Li, Zhu Xiao-yong, Zuo Yue-fei. Overview of fault-tolerant technologies of rotor permanent magnet brushless machine and its control system for electric vehicles[J]. Proceedings of the CSEE, 2019, 39(6): 1792-1802, 1875.
2 齐鹏远, 刘伟杰, 马伟民. 光伏系统中储能电源充放电特性应用分析[J]. 功能材料, 2019, 50(1): 1110-1113.
' Qi Peng-yuan, Liu Wei-jie, Ma Wei-min. Application analysis of charging and discharging for battery in photovoltaic system[J]. Journal of Functional Materials, 2019, 50(1): 1110-1113.
3 张怡冰, 刘其辉, 洪晨威, 等. 基于模糊控制的区域电动汽车入网充放电调度策略[J]. 电力自动化设备, 2019, 39(7): 147-153.
Zhang Yi-bing, Liu Qi-hui, Hong Chen-wei, et al.Charging and discharging dispatch strategy of regional V2G based on fuzzy control[J]. Electric Power Automation Equipment, 2019, 39(7): 147-153.
4 于娜, 于飞, 黄大为, 等. 基于多代理系统的电动汽车充放电分布式协同调度策略[J]. 电力系统保护与控制, 2019, 47(5): 1-9.
Yu Na, Yu Fei, Huang Da-wei, et al. Multi-agent system based charging and discharging of electric vehicles distributed coordination dispatch strategy[J]. Power System Protection and Control, 2019, 47(5): 1-9.
5 冯建鑫, 王强, 王雅雷, 等. 基于改进量子遗传算法的超声电机模糊PID控制[J]. 吉林大学学报: 工学版, 2021, 51(6): 1990-1996.
Feng Jian-xin, Wang Qiang, Wang Ya-lei, et al. Fuzzy PID control of ultrasonic motor based on improved quantum genetic algorithm[J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 1990-1996.
6 王聪, 马彦, 王国光. 电动汽车充电站内的实时最优功率分配[J]. 吉林大学学报: 工学版, 2021, 51(4): 1490-1495.
Wang Cong, Ma Yan, Wang Guo-guang, et al.Real-time optimal power allocation inside electric-vehicle charging stations[J]. Journal of Jilin University (Engineering and Technology Edition), 2021, 51(4): 1490-1495.
7 袁臣虎,李海杰,王岁,等.锂电池四阶段智能充电方法的研究[J].电源技术, 2019, 43(3): 402-404, 414.
Yuan Chen-hu, Li Hai-jie, Wang Sui, et al. Research of four-stage intelligent charging way for lithium battery[J]. Chinese Journal of Power Sources, 2019, 43(3): 402-404, 414.
8 张厚升, 李震梅, 边敦新, 等. 电动汽车用三相开绕组永磁同步电机的控制及容错运行[J]. 吉林大学学报: 工学版, 2020, 50(3): 784-795.
Zhang Hou-sheng, Li Zhen-mei, Bian Dun-xin, et al. Control and fault-tolerant operation of TPOW-PMSM for electric vehicle[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(3): 784-795.
9 陈恒安, 管霖, 卢操, 等. 新能源发电为主电源的独立微网多目标优化调度模型和算法[J]. 电网技术, 2020, 44(2): 664-674.
Chen Heng-an, Guan Lin, Lu Cao, et al. Multi-objective optimal dispatch model and its algorithm in isolated microgrid with renewable energy generation as main power supply[J]. Power System Technology, 2020, 44(2): 664-674.
10 朱子轩, 鲁工圆, 何必胜, 等. 单线铁路网络列车运行智能调度仿真研究[J]. 计算机仿真, 2019, 36(5): 194-201.
Zhu Zi-xuan, Lu Gong-yuan, He Bi-sheng, et al.Simulation research on intelligent dispatching of train operation on single-track railway network[J]. Computer Simulation, 2019, 36(5): 194-201.
11 徐红涛, 陈春波, 郑宏伟, 等. 基于相关分析和自适应遗传算法的盐渍化建模变量和参数优选[J]. 地球信息科学学报, 2020, 22(7): 1497-1509.
Xu Hong-tao, Chen Chun-bo, Zheng Hong-wei, et al. Correlation analysis and adaptive genetic algorithm based feature subset and modelparameter optimization in salinization monitoring[J]. Journal of Geo-information Science, 2020, 22(7): 1497-1509.
[1] Zhao-ming CHEN,Jin-song ZOU,Wei WANG,Ming-quan SHI. Multi-objective optimization of casting-forging dynamic forming based on improved particle swarm neural network and finite element analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1524-1533.
[2] Bi-da ZHANG,Qiang YAN,Lin ZHANG,Hai-rui ZHANG. Charging and battery swapping route planning for electric vehicles based on real-time traffic information [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(10): 2333-2342.
[3] You-qun ZHAO,Yu-hao LI,Hui-fan DENG,Tao LIN,Fen LIN. Stability control of distributed electric vehicle based on Popov hyperstability [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(10): 2225-2233.
[4] Ming LI,Qing-feng XUE,Ke-xin ZHANG,Ran LYU,Chang-hua WEI. Performance analysis of electric vehicle heat pump air conditioning system [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 1943-1952.
[5] Hao LI,Hao CHEN. Mixed traffic network equilibrium with battery electric vehicles considering charging queuing time [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1684-1691.
[6] Qiang SONG,Dan-ting SUN,Wei ZHANG. Shift nonlinear modeling and control of automated mechanical transmission in pure electric vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(3): 810-819.
[7] Liang CHU,Li-jia DONG,Nan XU,Li-feng ZHANG,Yi-fan JIA,Zhi-hua YANG. Powertrain configuration and power distribution of extended electric vehicle based on open winding motor [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 72-82.
[8] Chang-qing DU,Xi-liang CAO,Biao HE,Wei-qun REN. Parameters optimization of dual clutch transmission based on hybrid particle swarm optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1556-1564.
[9] CHANG Cheng,SONG Chuan-xue,ZHANG Ya-ge,SHAO Yu-long,ZHOU Fang. Minimizing inverter capacity of doubly-fed machine driving electric vehicles [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1629-1635.
[10] XI Li-he,ZHANG Xin,SUN Chuan-yang,WANG Ze-xing,JIANG Tao. Adaptive energy management strategy for extended range electric vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1636-1644.
[11] SONG Da-feng, WU Xi-tao, ZENG Xiao-hua, YANG Nan-nan, LI Wen-yuan. Life cycle cost analysis of mild hybrid heavy truck based on theoretical fuel consumption model [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1313-1323.
[12] JIN Li-sheng, XIE Xian-yi, GAO Lin-lin, GUO Bai-cang. Distributed electric vehicle stability control based on quadratic programming [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1349-1359.
[13] QIN Da-tong, LIN Yu-pei, HU Jian-jun, GUO Zi-han. Regenerative braking control strategy of plug-in hybrid electric vehicle based on speed ratio control continuously variable transmission [J]. 吉林大学学报(工学版), 2018, 48(2): 380-386.
[14] ZHANG Tian-shi, SONG Dong-jian, GAO Qing, WANG Guo-hua, YAN Zhen-min, SONG Wei. Construction of power battery liquid cooling system for electric vehicle and simulation of its working process [J]. 吉林大学学报(工学版), 2018, 48(2): 387-397.
[15] SUN Wen, WANG Qing-nian, WANG Jun-nian. Yaw-moment control of motorized vehicle for energy conservation during cornering [J]. 吉林大学学报(工学版), 2018, 48(1): 11-19.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd