基于V2G技术的电动汽车与光伏协同调度优化策略
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摘要
针对工业园区的屋顶光伏以及园区居住区的电动汽车,考虑电动汽车的V2G技术以及分时电价,以工业园区日运营费用最小为目标,融合光伏和电动汽车的协同调度。分别对无光伏无电动汽车接入、有光伏和电动汽车接入且进行无序充电、有光伏和电动汽车接入且进行有序充放电等3种场景进行求解。算例分析结果表明在工业园区接入光伏和电动汽车有序充放电场景下,园区负荷峰值下降,并节省了工业园区日运营费用。
Aiming at the roof photovoltaic of the industrial park and the electric vehicles in the residential area of the park,the vehicleto-grid( V2G) technology of the electric vehicle and the time-of-use electricity price are taken into account,taking the minimum daily operating cost of the industrial park as objective,the photovoltaic and electric vehicles are scheduled cooperatively. Three scenarios are established and solved,which includes having no photovoltaic and no electric vehicle access to the industrial park,having photovoltaic and electric vehicle access and a disorder charging,and having photovoltaic and electric vehicle access and a order charging and discharging,respectively. The results of a calculation case show that the peak load of the park is decreased and the daily operating cost of the industrial park is also reduced in the scene of having photovoltaic and electric vehicle access and an orderly charging and discharging in the industrial park.
Aiming at the roof photovoltaic of the industrial park and the electric vehicles in the residential area of the park,the vehicleto-grid( V2G) technology of the electric vehicle and the time-of-use electricity price are taken into account,taking the minimum daily operating cost of the industrial park as objective,the photovoltaic and electric vehicles are scheduled cooperatively. Three scenarios are established and solved,which includes having no photovoltaic and no electric vehicle access to the industrial park,having photovoltaic and electric vehicle access and a disorder charging,and having photovoltaic and electric vehicle access and a order charging and discharging,respectively. The results of a calculation case show that the peak load of the park is decreased and the daily operating cost of the industrial park is also reduced in the scene of having photovoltaic and electric vehicle access and an orderly charging and discharging in the industrial park.
引文
[1]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.SUN Jinw en,WAN Yunfei,ZHENG Peiw en,et al.Coordinated charging and discharging strategy for electric vehicles based on demand side management[J].Transactions of China Electrotechnical Society,2014,29(8):64-69.
[2]HE Y,VENKATESH B,GUAN L.Optimal scheduling for charging and discharging of electric vehicles[J].IEEE Transactions on Smart Grid,2012,3(3):1095-1105.
[3]杨冰,王丽芳,廖承林,等.含有耦合特性的电动汽车充电负荷计算方法[J].电力系统自动化,2015,39(22):76-82.YANG Bing,WANG Lifang,LIAO Chenglin,et al.Charging load calculation method of large-scale electric vehicles w ith coupling characteristics[J].Automation of Electric Pow er Systems,2015,39(22):76-82.
[4]陈静鹏,艾芊,肖斐.基于集群响应的规模化电动汽车充电优化调度[J].电力系统自动化,2016,40(22):43-48.CHEN Jingpeng,AI Qian,XIAO Fei.Optimal charging scheduling for massive electric vehicles based on cluster response[J].Automation of Electric Power Systems,2016,40(22):43-48.
[5]林洋.含电动汽车与大规模风电并网的电力系统协调调度[D].北京:华北电力大学,2015.
[6]GHOFRANI M,ARABALI A,ETEZADI-AMOLI M,et al.Smart scheduling and cost-benefit analysis of grid-enabled electric vehicles for w ind pow er integration[J].IEEE Transactions on Smart Grid,2014,5(5):2306-2313.
[7]吕耀棠,管霖,赵琦,等.充电式电动汽车停车场的V2G模型及接入配电网方案优化研究[J].电力自动化设备,2018,38(11):7-13,20.LYaotang,GUAN Lin,ZHAO Qi,et al.Research on V2Gmodel of EPVV and its optimal scheme accessing to distribution netw ork[J].Electric Pow er Automation Equipment,2018,38(11):7-13,20.
[8]张娜,唐忠.考虑V2G下电动汽车与风电协同调度的多目标优化策略[J].电测与仪表,2018,55(12):54-59,87.ZHANG Na,TANG Zhong.M ulti-objective optimization strategy for cooperative scheduling of electric vehicles and w ind farms under V2G[J].Electrical M easurement&Instrumentation,2018,55(12):54-59,87.
[9]董龙昌,陈民铀,李哲,等.基于V2G的电动汽车有序充放电控制策略[J].重庆大学学报,2019,42(1):1-15.DONG Longchang,CHEN M inyou,LI Zhe,et al.Ordered charing and discharging control strategy of EVs based on V2G[J].Journal of Chongqing University,2019,42(1):1-15.
[10]GOULET-LANGLOIS G,KOUTSOPOULOS H N,ZHAO Z,et al.M easuring regularity of individual travel patterns[J].IEEE Transactions on Intelligent Transportation Systems,2018,19(5):1583-1592.
[11]YANG Wei,XIANG Yue,LIU Junyong,et al.Agent-based modeling for scale evolution of plug-in electric vehicles and charging demand[J].IEEE Transactions on Pow er Systems,2018,33(2):1915-1925.
[12]张洪财,胡泽春,宋永华,等.考虑时空分布的电动汽车充电负荷预测方法[J].电力系统自动化,2014,38(1):13-20.ZHANG Hongcai,HU Zechun,SONG Yonghua,et al.A prediction method for electric vehicle charing load considering spatial and temporal distribution[J].Automation of Electric Pow er Systems,2014,38(1):13-20.
[13]陈丽丹,张尧,FIGUEIREDO A.电动汽车充放电负荷预测研究综述[J/OL].[2019-04-03].电力系统自动化,http://kns.cnki.net/KCMS/detail/32.1180.TP.201904031547.020.html.CHEN Lidan,ZHANG Yao,FIGUEIREDO A.Overview of charging and discharging load forcasting for electric vehicles[J/OL].[2019-04-03].Automation of Electric Pow er Systems,http://kns.cnki.net/KCM S/detail/32.1180.TP.20190403.1547.020.html.()
[14]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充电负荷建模策略[J].电工技术学报,2015,30(9):129-137.XU Hao,M IAO 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):129-137.
[15]唐佳,王丹,贾宏杰,等.基于迟滞模型的集群电动汽车参与实时需求响应V2G控制策略研究[J].电网技术,2017,41(7):2155-2165.TANG Jia,WANG Dan,JIA Hongjie,et al.A study of V2Gcontrol strategies of aggregated electric vehicles for real-time demand response based on hysteresis model[J].Pow er System Technology,2017,41(7):2155-2165.
[16]王明深,于汀,穆云飞,等.考虑用户参与度的电动汽车能效电厂模型[J].电力自动化设备,2017,37(11):201-210.WANG M ingshen,YU Ting,M U Yunfei,et al.M odel of E-EPP considering participation factor of EV users[J].Electric Pow er Automation Equipment,2017,37(11):201-210.
[17]IZADKHAST S,GARCIA-GONZALEZ P,FRAS P,et al.An aggregate model of plug-in electric vehicles including distribution netw ork characteristics for primary frequency control[J].IEEETransactions on Pow er Systems,2016,31(4):2987-2998.
[18]樊静雨.电动汽车换电站的优化运行及容量规划[D].济南:山东大学,2018.
[19]荆朝霞,郭文骏,郭子暄.基于多代理技术的电动出租车运营实时仿真系统及应用[J].电力系统自动化,2016,40(7):83-89.JING Zhaoxia,GUO Wenjun,GUO Zixuan.Real-time simulation of electric taxi operation based on multi-agent technology[J].Automation of Electric Power Systems,2016,40(7):83-89.
[20]邵尹池,穆云飞,余晓丹,等.“车-路-网”模式下电动汽车充电负荷时空预测及其对配电网潮流的影响[J].中国电机工程学报,2017,37(18):5207-5219.SHAO Yinchi,M U Yunfei,YU Xiaodan,et al.A spatial-temporal charging load forecast and impact analysis method for distribution netw ork using EVs traffic distribution model[J].Proceedings of the CSEE,2017,37(18):5207-5219.
[21]陈丽丹,聂涌泉,钟庆.基于出行链的电动汽车充电负荷预测模型[J].电工技术学报,2015,30(4):216-225.CHEN Lidan,NIE Yongquan,ZHONG Qing.A model for electric vehicle charging load forecasting based on trip chains[J].Transactions of China Electrotechnical Society,2015,30(4):216-225.
[22]宋健,李梦佳,刘囡,等.基于聚类算法的电动汽车充放电分时电价优化[J].电气技术,2018,19(8):168-173.SONG Jian,LI M engjia,LIU Nan,et al.The time-of-use price optimization of electric vehicle charging and discharging based on clustering algorithm[J].Electrical Engineering,2018,19(8):168-173.
[2]HE Y,VENKATESH B,GUAN L.Optimal scheduling for charging and discharging of electric vehicles[J].IEEE Transactions on Smart Grid,2012,3(3):1095-1105.
[3]杨冰,王丽芳,廖承林,等.含有耦合特性的电动汽车充电负荷计算方法[J].电力系统自动化,2015,39(22):76-82.YANG Bing,WANG Lifang,LIAO Chenglin,et al.Charging load calculation method of large-scale electric vehicles w ith coupling characteristics[J].Automation of Electric Pow er Systems,2015,39(22):76-82.
[4]陈静鹏,艾芊,肖斐.基于集群响应的规模化电动汽车充电优化调度[J].电力系统自动化,2016,40(22):43-48.CHEN Jingpeng,AI Qian,XIAO Fei.Optimal charging scheduling for massive electric vehicles based on cluster response[J].Automation of Electric Power Systems,2016,40(22):43-48.
[5]林洋.含电动汽车与大规模风电并网的电力系统协调调度[D].北京:华北电力大学,2015.
[6]GHOFRANI M,ARABALI A,ETEZADI-AMOLI M,et al.Smart scheduling and cost-benefit analysis of grid-enabled electric vehicles for w ind pow er integration[J].IEEE Transactions on Smart Grid,2014,5(5):2306-2313.
[7]吕耀棠,管霖,赵琦,等.充电式电动汽车停车场的V2G模型及接入配电网方案优化研究[J].电力自动化设备,2018,38(11):7-13,20.LYaotang,GUAN Lin,ZHAO Qi,et al.Research on V2Gmodel of EPVV and its optimal scheme accessing to distribution netw ork[J].Electric Pow er Automation Equipment,2018,38(11):7-13,20.
[8]张娜,唐忠.考虑V2G下电动汽车与风电协同调度的多目标优化策略[J].电测与仪表,2018,55(12):54-59,87.ZHANG Na,TANG Zhong.M ulti-objective optimization strategy for cooperative scheduling of electric vehicles and w ind farms under V2G[J].Electrical M easurement&Instrumentation,2018,55(12):54-59,87.
[9]董龙昌,陈民铀,李哲,等.基于V2G的电动汽车有序充放电控制策略[J].重庆大学学报,2019,42(1):1-15.DONG Longchang,CHEN M inyou,LI Zhe,et al.Ordered charing and discharging control strategy of EVs based on V2G[J].Journal of Chongqing University,2019,42(1):1-15.
[10]GOULET-LANGLOIS G,KOUTSOPOULOS H N,ZHAO Z,et al.M easuring regularity of individual travel patterns[J].IEEE Transactions on Intelligent Transportation Systems,2018,19(5):1583-1592.
[11]YANG Wei,XIANG Yue,LIU Junyong,et al.Agent-based modeling for scale evolution of plug-in electric vehicles and charging demand[J].IEEE Transactions on Pow er Systems,2018,33(2):1915-1925.
[12]张洪财,胡泽春,宋永华,等.考虑时空分布的电动汽车充电负荷预测方法[J].电力系统自动化,2014,38(1):13-20.ZHANG Hongcai,HU Zechun,SONG Yonghua,et al.A prediction method for electric vehicle charing load considering spatial and temporal distribution[J].Automation of Electric Pow er Systems,2014,38(1):13-20.
[13]陈丽丹,张尧,FIGUEIREDO A.电动汽车充放电负荷预测研究综述[J/OL].[2019-04-03].电力系统自动化,http://kns.cnki.net/KCMS/detail/32.1180.TP.201904031547.020.html.CHEN Lidan,ZHANG Yao,FIGUEIREDO A.Overview of charging and discharging load forcasting for electric vehicles[J/OL].[2019-04-03].Automation of Electric Pow er Systems,http://kns.cnki.net/KCM S/detail/32.1180.TP.20190403.1547.020.html.()
[14]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充电负荷建模策略[J].电工技术学报,2015,30(9):129-137.XU Hao,M IAO 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):129-137.
[15]唐佳,王丹,贾宏杰,等.基于迟滞模型的集群电动汽车参与实时需求响应V2G控制策略研究[J].电网技术,2017,41(7):2155-2165.TANG Jia,WANG Dan,JIA Hongjie,et al.A study of V2Gcontrol strategies of aggregated electric vehicles for real-time demand response based on hysteresis model[J].Pow er System Technology,2017,41(7):2155-2165.
[16]王明深,于汀,穆云飞,等.考虑用户参与度的电动汽车能效电厂模型[J].电力自动化设备,2017,37(11):201-210.WANG M ingshen,YU Ting,M U Yunfei,et al.M odel of E-EPP considering participation factor of EV users[J].Electric Pow er Automation Equipment,2017,37(11):201-210.
[17]IZADKHAST S,GARCIA-GONZALEZ P,FRAS P,et al.An aggregate model of plug-in electric vehicles including distribution netw ork characteristics for primary frequency control[J].IEEETransactions on Pow er Systems,2016,31(4):2987-2998.
[18]樊静雨.电动汽车换电站的优化运行及容量规划[D].济南:山东大学,2018.
[19]荆朝霞,郭文骏,郭子暄.基于多代理技术的电动出租车运营实时仿真系统及应用[J].电力系统自动化,2016,40(7):83-89.JING Zhaoxia,GUO Wenjun,GUO Zixuan.Real-time simulation of electric taxi operation based on multi-agent technology[J].Automation of Electric Power Systems,2016,40(7):83-89.
[20]邵尹池,穆云飞,余晓丹,等.“车-路-网”模式下电动汽车充电负荷时空预测及其对配电网潮流的影响[J].中国电机工程学报,2017,37(18):5207-5219.SHAO Yinchi,M U Yunfei,YU Xiaodan,et al.A spatial-temporal charging load forecast and impact analysis method for distribution netw ork using EVs traffic distribution model[J].Proceedings of the CSEE,2017,37(18):5207-5219.
[21]陈丽丹,聂涌泉,钟庆.基于出行链的电动汽车充电负荷预测模型[J].电工技术学报,2015,30(4):216-225.CHEN Lidan,NIE Yongquan,ZHONG Qing.A model for electric vehicle charging load forecasting based on trip chains[J].Transactions of China Electrotechnical Society,2015,30(4):216-225.
[22]宋健,李梦佳,刘囡,等.基于聚类算法的电动汽车充放电分时电价优化[J].电气技术,2018,19(8):168-173.SONG Jian,LI M engjia,LIU Nan,et al.The time-of-use price optimization of electric vehicle charging and discharging based on clustering algorithm[J].Electrical Engineering,2018,19(8):168-173.