含风光储的电动汽车充电站容量优化研究综述
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摘要
对风光储的容量进行最优配置是含风光储的电动汽车充电站普及的关键。首先阐述了风光互补发电系统的构成,然后通过从风光互补发电系统容量配比方法、电动汽车充电站规划方法两个方面研究了含风光储的电动汽车充电站的容量配比方法。最后指出含风光储的电动汽车充电站在发展中没有统一的建设规划标准和成熟的运营模式、建设成本高昂、光伏设备占地面积较大等问题,可以为进一步研究提供参考。
Optimal allocation of the capacity of wind-solar storage is the key to the popularization of electric vehicle(EV) charging stations with wind-solar storage. Firstly, the composition of wind-solar complementary power generation system is introduced, and then, the capacity matching method of EV charging stations with wind-solar storage is studied from two aspects: the capacity matching method of wind-solar complementary power generation system and the planning scheme of EV charging station. Finally, the problems in the development of EV charging stations are pointed out, which provides references for further studies.
Optimal allocation of the capacity of wind-solar storage is the key to the popularization of electric vehicle(EV) charging stations with wind-solar storage. Firstly, the composition of wind-solar complementary power generation system is introduced, and then, the capacity matching method of EV charging stations with wind-solar storage is studied from two aspects: the capacity matching method of wind-solar complementary power generation system and the planning scheme of EV charging station. Finally, the problems in the development of EV charging stations are pointed out, which provides references for further studies.
引文
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[38]付华,柳梦雅,陈子春.风光储电动汽车换电站多目标运行优化[J].电力系统及其自动化学报,2016,28(4):38-43.
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[40]袁小溪.含电动汽车的风光储微网容量配置与运行调度策略[D].北京:北京交通大学,2017:89.
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[43]徐永海,涂菁菁,尹忠东.基于核极限学习机的风光容量配置研究[J/OL].电测与仪表,2019:1-9(2019-03-26)[2019-04-08].http://kns.cnki.net/kcms/detail/23.1202.TH.20190325.1121.006.html.
[44]Georgia E.Asimakopoulou,Nikos D.Hatziargyriou.Evaluation of Economic Benefits of DER Aggregation[J].IEEETransactions on Sustainable Energy,2018,9(2):499-510.
[2]谷芃.含有充电机的风光互补电站设计与研究[D].沈阳:东北大学,2014:84.
[3]冮明颖,鲁宝春,姜丕杰.风光互补发电系统研究综述[J].机电信息,2013(9):60-61.
[4]徐林,阮新波,张步涵,等.风光蓄互补发电系统容量的改进优化配置方法[J].中国电机工程学报,2012,32(25):88-98,14.
[5]徐璋,李莎,胡小坚,等.基于粒子群算法的风光互补发电系统配置优化设计[J].浙江工业大学学报,2018,46(6):650-655.
[6]杨珺,张建成,黄磊磊,等.基于改进粒子群算法的独立光伏发电系统储能容量优化配置研究[J].华东电力,2012,40(8):1370-1374.
[7]Eltamaly A M,Mohamed M A,Alolah A I.A novel smart grid theory for optimal sizing of hybrid renewable energy systems[J].Solar Energy,2016,124:26-38.
[8]Shi Z,Wang R,Zhang T.Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach[J].Solar Energy,2015,118:96-106.
[9]Wang R,Li G,Ming M,et al.An efficient multi-objective model and algorithm for sizing a stand-alone hybrid renewable energy system[J].Energy,2017,141.
[10]Guangqian D,Bekhrad K,Azarikhah P,et al.A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems[J].Renewable Energy,2018,122:551-560.
[11]谭颖,吕智林,李捷.基于改进ELM的风/光/柴/储独立微网分布式电源多目标容量优化配置[J].电力系统保护与控制,2016,44(8):63-70.
[12]丁明,王波,赵波,等.独立风光柴储微网系统容量优化配置[J].电网技术,2013,37(3):575-581.
[13]王斌.一种新型的风光互补发电系统优化设计[D].无锡:江南大学,2008:88.
[14]Eftichios Koutroulis,Dionissia Kolokotsa,Antonis Potirakis,Kost as Kalaitzakis.Methodology for optimal sizing of standalone photovoltaic/wind-generator systems using genetic algorithms[J].Solar Energy,2005,80(9):.
[15]Ismail M S,Moghavvemi M,Mahlia T M I.Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems[J].Energy Conversion&Management,2014,85(9):120-130.
[16]马溪原,吴耀文,方华亮,等.采用改进细菌觅食算法的风/光/储混合微电网电源优化配置[J].中国电机工程学报,2011,31(25):17-25.
[17]黄鹏洲.风光互补独立供电系统的多目标优化设计[D].北京:北京交通大学,2010:75.
[18]陈天,蔡泽祥,谢鹏,等.基于改进微分进化算法的风光互补系统发电容量优化配置[J].电力科学与技术学报,2017,32(3):22-28.
[19]Sharafi M,Elmekkawy T Y.Stochastic optimization of hybrid renewable energy systems using sampling average method[J].Renewable&Sustainable Energy Reviews吗,2015,52(1):1668-1679.
[20]唐浩,杨国华,王鹏珍,等.基于CO2排放量的风光互补发电系统容量优化配置[J].电力建设,2017,38(3):108-114.
[21]唐浩,杨国华,王鹏珍,等.基于改进粒子群算法的风光蓄互补发电系统容量优化[J].电测与仪表,2017,54(16):50-55.
[22]胡林献,顾雅云,姚友素.并网型风光互补系统容量优化配置方法[J].电网与清洁能源,2016,32(3):120-126.
[23]郑凌蔚,刘士荣,周文君,等.并网型可再生能源发电系统容量配置与优化[J].电力系统保护与控制,2014,42(17):31-37.
[24]窦晓波,袁简,吴在军,等.并网型风光储微电网容量改进优化配置方法[J].电力自动化设备,2016,36(3):26-32.
[25]于东霞,张建华,王晓燕,等.并网型风光储互补发电系统容量优化配置[J/OL].电力系统及其自动化学报,2018:1-8(2018-10-31)[2019-01-20].https://doi.org/10.19635/j.cnki.csu-epsa.000127.
[26]吴克河,周欢,刘吉臻.大规模并网型风光储发电单元容量优化配置方法[J].太阳能学报,2015,36(12):2946-2953.
[27]张钟文,曹敦,彭长巍,等.风光储输系统最优容量配比研究[J].四川电力技术,2013,36(1):37-43.
[28]张峻岭,殷建英,王文军.鄂尔多斯新能源产业示范区的风光互补最优容量匹配[J].电力与能源,2011,32(3):224-227.
[29]赵书强,李志伟,党磊.基于城市交通网络信息的电动汽车充电站最优选址和定容[J].电力自动化设备,2016,36(10):8,15+23.
[30]葛少云,冯亮,刘洪,等.考虑车流信息与配电网络容量约束的充电站规划[J].电网技术,2013,37(3):582-589.
[31]陈婷,卫志农,吴霜,等.考虑电动汽车充电站选址定容的配电网规划[J].电力系统及其自动化学报,2013,25(3):1-7.
[32]李智,侯兴哲,刘永相,等.基于深度学习的充电站容量规划方法[J].电力系统保护与控制,2017,45(21):67-73.
[33]寇凌峰,刘自发,周欢.区域电动汽车充电站规划的模型与算法[J].现代电力,2010,27(4):44-48.
[34]李菱,李燕青,姚玉海,等.基于遗传算法的电动汽车充电站的布局规划[J].华东电力,2011,39(6):1004-1006.
[35]王辉,王贵斌,赵俊华,等.考虑交通网络流量的电动汽车充电站规划[J].电力系统自动化,2013,37(13):63-69,98.
[35]张颖达,刘念,张建华,等.含电动汽车充电站的风光互补系统容量优化配置[J].电力系统保护与控制,2013,41(15):126-134.
[36]许上宇.含风光储的离网型电动汽车充电站容量配比研究[D].成都:电子科技大学,2016:77.
[37]吴宇,张彼德,袁国森,等.计及电动汽车和风光资源不确定性的微电网优化配置[J].电测与仪表,2016,53(16):39-44.
[38]付华,柳梦雅,陈子春.风光储电动汽车换电站多目标运行优化[J].电力系统及其自动化学报,2016,28(4):38-43.
[39]王佗.含新能源和电动汽车接入的微电网分层优化的研究[D].南昌:南昌大学,2018:62.
[40]袁小溪.含电动汽车的风光储微网容量配置与运行调度策略[D].北京:北京交通大学,2017:89.
[42]汪明.考虑电动汽车的微电网容量配置研究[D].秦皇岛:燕山大学,2017:71.
[43]徐永海,涂菁菁,尹忠东.基于核极限学习机的风光容量配置研究[J/OL].电测与仪表,2019:1-9(2019-03-26)[2019-04-08].http://kns.cnki.net/kcms/detail/23.1202.TH.20190325.1121.006.html.
[44]Georgia E.Asimakopoulou,Nikos D.Hatziargyriou.Evaluation of Economic Benefits of DER Aggregation[J].IEEETransactions on Sustainable Energy,2018,9(2):499-510.
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