[1]居佳琪,王 琦,唐小波,等.基于双重粒子群算法的电动汽车参与配网优化调度[J].南京师范大学学报(工程技术版),2018,(01):011.[doi:10.3969/j.issn.1672-1292.2018.01.002]
 Ju Jiaqi,Wang Qi,Tang Xiaobo,et al.Optimization Algorithm for Electric Vehicle Participation in DistributionNetwork Scheduling Based on Multiparticle Swarm[J].Journal of Nanjing Normal University(Engineering and Technology),2018,(01):011.[doi:10.3969/j.issn.1672-1292.2018.01.002]
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基于双重粒子群算法的电动汽车参与配网优化调度
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年01期
页码:
011
栏目:
电气与电子工程
出版日期:
2018-03-31

文章信息/Info

Title:
Optimization Algorithm for Electric Vehicle Participation in DistributionNetwork Scheduling Based on Multiparticle Swarm
文章编号:
1672-1292(2018)01-0011-13
作者:
居佳琪王 琦唐小波姜宁秋陆 斌陈良耳薛 松
南京师范大学电气与自动化工程学院,江苏 南京 210042
Author(s):
Ju JiaqiWang QiTang XiaoboJiang NingqiuLu BinChen LiangerXue Song
School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
关键词:
电动汽车分布式光伏配电网有序充电协同调度
Keywords:
electric vehicledistributed photovoltaicdistribution networkordered chargingcooperative scheduling
分类号:
TM731
DOI:
10.3969/j.issn.1672-1292.2018.01.002
文献标志码:
A
摘要:
研究电动汽车参与含分布式光伏电源的配电系统的协同调度问题. 首先,建立了分布式光伏和电动汽车充电负荷的数学模型,给出了两种协同调度策略:电动汽车充电位置优化和电动汽车充电时段优化. 优化模型以配电系统网损最小为目标,分别就充电地址不固定和固定两种情况进行优化. 然后,使用蒙特卡洛法对电动汽车充电负荷情况进行模拟,使用双重粒子群算法对优化模型进行最优求解. 最后,用一个33节点系统作为算例系统对所提出的调度策略进行仿真验证,证明了优化策略能平抑电网波动,减少配电系统网损.
Abstract:
In this paper,we use the double particle swarm optimization algorithm to solve the two models for the coordinated operation of electric vehicle in distribution system with distributed photovoltaic power supply. This paper firstly establishes the mathematical model of the distributed load of photovoltaic and electric vehicle. Then two kinds of cooperative scheduling strategies are given:optimizing the charging position of electric vehicle and optimizing the dispatching strategy of electric vehicle charging time. The optimal model is based on the minimum loss of the distribution system,and the two cases are optimized for the fixed charging address and the fixed address,Monte Carlo method is used to simulate the charging load of electric vehicle. The optimal solution is optimized by using the double particle swarm optimization algorithm. At last,a 33-node system is used as an example to simulate the proposed scheduling strategy,and it is proved that the optimization strategy can stabilize the fluctuation of the power grid and reduce the network loss of the distribution system.

参考文献/References:

[1] 李含怡,赵彩虹,陈笑,等. 电动汽车充放电模式对电网日负荷的影响[J]. 南京师范大学学报(工程技术版),2015,15(3):11-17.
LI H Y,ZHAO C H,CHEN X,et al. Impact of charging-discharging modes of electric vehicles on daily load of power grid[J]. Journal of Nanjing normal university(engineering and technology edition),2015,15(3):11-17.(in Chinese)
[2]谈丽娟,赵彩虹,刘笠,等. 计及电动汽车自由充电的负荷需求[J]. 南京师范大学学报(工程技术版),2014,14(1):18-21.
TAN L J,ZHAO C H,LIU L,et al. Load demand by considering the free charge of electric vehicles[J]. Journal of Nanjing normal university(engineering and technology edition),2014,14(1):18-21.(in Chinese)
[3]张迈,赵彩虹,唐小波,等. 基于PSCAD的电动汽车V2G充放电装置仿真研究[J]. 南京师范大学学报(工程技术版),2013,13(2):7-12.
ZHANG M,ZHAO C H,TANG X B,et al. Research on charge and discharge equipment of V2G technology based on PSCAD simulation[J]. Journal of Nanjing normal university(engineering and technical edition),2013,13(2):7-12.(in Chinese)
[4]高亚静,李瑞环,梁海峰,等. 考虑间歇性电源与负荷不确定性情况下基于多场景技术的主动配电系统两步优化调度[J]. 中国电机工程学报,2015,35(7):1 657-1 665.
GAO Y J,LI R H,LIANG H F,et al. Two step optimal dispatch based on multiple scenarios technique considering uncertainties of intermittent distributed generations and loads in the active distribution system[J]. Proceedings of the CSEE,2015,35(7):1 657-1 665.(in Chinese)
[5]罗卓伟,胡泽春,宋永华,等. 电动汽车充电负荷计算方法[J]. 电力系统自动化,2011,35(14):36-42.
LUO Z W,HU Z C,SONG Y H,et al. Study on plug-in electric vehicles charing load calculating[J]. Automation of electric power systems,2011,35(14):36-42.(in Chinese)
[6]唐小波,赵彩虹,吴薛红,等. 智能电网中电动汽车快速有序充电实时电价优化方法[J]. 南京师范大学学报(工程技术版),2013,13(4):13-18.
TANG X B,ZHAO C H,WU X H,et al. Optimization of spot power price in coordinated fast charging model of electric vehicles[J]. Journal of Nanjing normal university(engineering and technology edition),2013,13(4):13-18.(in Chinese)
[7]徐立中,杨光亚,许昭,等. 电动汽车充电负荷对丹麦配电系统的影响[J]. 电力系统自动化,2011,35(14):18-23.
XU L Z,YANG G Y,XU Z,et al. Impacts of electric vehicle charing on distribution networks in Denmark[J]. Automation of electric power systems,2011,35(14):18-23.(in Chinese)
[8]姜楠,王琦,王恩荣,等. 分布式光伏电源接入对配电网可靠性的影响研究[J]. 南京师范大学学报(工程技术版),2016,16(2):1-9.
JIANG N,WANG Q,WANG E R,et al. Research on influence of the distributed photovoltaic supplyon distributed network reliability[J]. Journal of Nanjing normal university(engineering and technology edition),2016,16(2):1-9.(in Chinese)
[9]罗雯清. 计及风光储发电和电动汽车的配电网规划[D]. 上海:上海交通大学,2012.
LUO W Q. Distribution network planning with wind turbine,photovoltaic system,storage system and electric vehicles[D]. Shanghai:Shanghai Jiao Tong University,2012.(in Chinese)
[10]陈学有,文明浩,陈卫,等. 电动汽车接入对电网运行的影响及经济效益综述[J]. 智慧电力,2013,20(9):20-28.
CHEN X Y,WEN M H,CHEN W,et al. A review of impact and economic benefits of electric vehicles integration into grid[J]. Smart power,2013,20(9):20-28.(in Chinese)
[11]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 L L,YANG J,FU C,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.(in Chinese)
[12]MA Y,HOUGHTON T,CRUDEN A,et al. Modeling the benefits of vehicle-to-grid technology to a power system[J]. IEEE transactions on power systems,2012,27(2):1 012-1 020.
[13]杨晓东,任帅杰,张有兵,等. 电动汽车可调度能力模型与日内优先调度策略[J]. 电力系统自动化,2017,41(2):84-93.
YANG X D,REN S J,ZHANG Y B,et al. Analysis of tight-strong coupling mode for dynamic wireless charing of electric vehicle[J]. Automation of electric power systems,2017,41(2):84-93.(in Chinese)
[14]杨冰,王丽芳,廖承林,等. 电动汽车与分布式电源协同有序控制研究[J]. 电工技术学报,2015,30(14):419-426.
YANG B,WANG L F,LIAO C L,et al. Study of coordinated charging control for electric vehicles in correlation with distributed power source[J]. Transactions of China electrotechnical society,2015,30(14):419-426.(in Chinese)
[15]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 L T,SHI S L,JIA Z. A statistical model for charging power demand of electric vehicles[J]. Power system technology,2010,34(11):126-130.(in Chinese)
[16]刘鹏,刘瑞叶,白雪峰,等. 基于扩散理论的电动汽车充电负荷模型[J]. 电力自动化设备,2012,32(9):30-34.
LIU P,LIU R Y,BAI X F,et al. Charging load model based on diffusion theory for electric vehicles[J]. Electric power automation equipment,2012,32(9):30-34.(in Chinese)
[17]高赐威,张亮. 电动汽车充电对电网影响的综述[J]. 电网技术,2011,35(2):127-131.
GAO W,ZHANG L. A Survey of influence of electrics vehicle charging on power grid[J]. Power system technology,2011,35(2):127-131.(in Chinese)
[18]葛少云,连恒辉,刘洪,等. 电动汽车时序响应能力模型与控制策略[J]. 电力系统自动化,2016,40(3):33-38.
GE S Y,LIAN H H,LIU H,et al. Timing response capability medel and conrrol method of electric vehicle[J]. Automation of electric power systems,2016,40(3):33-38.(in Chinese)
[19]SINGH M,KAR I,KUMAR P. Influence of EV on grid power quality and optimizing the charging schedule to mitigate voltage imbalance and reduce power loss[C]//14th International Power Electronics and Motion Control Conference. Orhid,2010:196-203.
[20]刘伟佳,吴秋伟,文福拴,等. 电动汽车和可控负荷参与配电系统阻塞管理的市场机制[J]. 电力系统自动化,2014,38(24):26-33.
LIU W J,WU Q W,WEN F T,et al. A market mechanism for participation of electric vehicles and dispatchable loads in distribution system congestion management[J]. Automation of electric power systems,2014,38(24):26-33.(in Chinese)
[21]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):2 972-2 977.
WEI D J,ZHANG C H,SUN B,et al. A time-of-use price based multi-objective optimal dispatching for charging and discharging of electric vehicles[J]. Power system technology,2014,38(11):2 972-2 977.(in Chinese)
[22]黄宇,杨健维,何正友. 基于双层离散粒子群优化的智能小区车辆与家庭互动调度策略[J]. 电网技术,2015,39(10):2 690-2 696.
HUANG Y,YANG J W,HE Z Y. A dispatching strategy for V2H of intelligent community based on bilayer discrete particle swarm optimization[J]. Power system technology,2015,39(10):2 690-2 696.(in Chinese)
[23]张良,严正,冯冬涵,等. 采用两阶段优化模型的电动汽车充电站内有序充电策略[J]. 电网技术,2014,38(4):967-973.
ZHANG L,YAN Z,FENG D H,et al. Two-stage optimization model based coordinated charging for EV charging station[J]. Power system technology,2014,38(4):967-973.(in Chinese)
[24]葛少云,李荣,韩俊,等. 考虑电动出租车随机概率行为特性的充电站规划[J]. 电力系统自动化,2016,40(4):50-58.
GE S Y,LI R,HAN J,et al. Charging station planning considering probability behavior characteristic of electric taxi[J]. Automation of electric power systems,2016,40(4):50-58.(in Chinese)
[25]潘峰,李位星,高琪,等. 粒子群优化算法与多目标优化[M]. 北京:北京理工大学出版社,2013:15-19.
PAN F,LI B X,GAO Q,et al. Particle swarm optimization algorithm and multi-object optimization[M]. Beijing:Beijing Institute of Technology Press,2013:15-19.(in Chinese)
[26]胡泽春,宋永华,徐智威,等. 电动汽车接入电网的影响与利用[J]. 中国电机工程学报,2012,32(4):1-10.
HU Z C,SONG Y H,XU Z W,et al. Impacts and utilization of electric vehicles integration into power systems[J]. Proceedings of the CSEE,2012,32(4):1-10.(in Chinese)

相似文献/References:

[1]谈丽娟,赵彩虹,刘 笠,等.计及电动汽车自由充电的负荷需求[J].南京师范大学学报(工程技术版),2014,14(01):018.
 Tan Lijuan,Zhao Caihong,Liu Li,et al.Load Demand by Considering the Free Charge of Electric Vehicles[J].Journal of Nanjing Normal University(Engineering and Technology),2014,14(01):018.
[2]唐小波,赵彩虹,吴薛红,等.智能电网中电动汽车快速有序充电实时电价优化方法[J].南京师范大学学报(工程技术版),2013,13(04):013.
 Tang Xiaobo,Zhao Caihong,Wu Xuehong,et al.Optimization of Spot Power Price in Coordinated Fast Charging Model of Electric Vehicles[J].Journal of Nanjing Normal University(Engineering and Technology),2013,13(01):013.
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备注/Memo

备注/Memo:
收稿日期:2017-08-15.
基金项目:江苏省研究生科研创新计划项目(KYCX17_1079).
通讯联系人:王琦,博士,副教授,研究方向:新能源发电,电力系统,电动汽车,电力电子技术. E-mail:wangqi@njnu.edu.cn
更新日期/Last Update: 1900-01-01