基于ArcGIS空间分析技术的电动汽车充电站选址渐进优化布局研究
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摘要
以电动汽车充电距离成本最小化和充电站建设成本最小化为目标选取某区域出行兴趣点和充电站建设候选点,运用ArcGIS10.6的空间分析技术构建了充电站选址建设的最小化阻抗模型和最小化设施点模型,仿真结果表明:需再增建3座大型充电站可满足该区域内全部出行兴趣点处的充电需求,并对充电站选址建设方案进行服务水平评价,以验证仿真结果的合理性。
Aiming to minimize the charging distance of the electric vehicles and the construction cost of the charging stations, we identified the points of travel interest in a certain area and the candidate locations for building the charging stations. Then we established the minimum impedance model and minimum facility point model for the location selection of the charging stations using the ArcGIS10.6 spatial analysis technology. The result of a simulation showed that with three more large-scale charging stations, the charging demand at all points of travel interest in the area could be satisfied. At the end, the charging station construction plan of each location was subject to service level evaluation to validate the simulation result.
Aiming to minimize the charging distance of the electric vehicles and the construction cost of the charging stations, we identified the points of travel interest in a certain area and the candidate locations for building the charging stations. Then we established the minimum impedance model and minimum facility point model for the location selection of the charging stations using the ArcGIS10.6 spatial analysis technology. The result of a simulation showed that with three more large-scale charging stations, the charging demand at all points of travel interest in the area could be satisfied. At the end, the charging station construction plan of each location was subject to service level evaluation to validate the simulation result.
引文
[1]童芳,兰凤崇,陈吉清.新能源汽车发展影响因素分析及保有量预测[J].科技管理研究,2016,36(17):112-116.
[2]Wirges J,Linder S,Kessler A.Modelling the Development of a Regional Charging Infrastructure for Electric Vehicles in Time and Space[J].European Journal of Transport&Infrastructure Research, 2012, 12(4):391-416.
[3]葛少云,冯亮,刘洪,等.电动汽车充电站规划布局与选址方案的优化方法[J].中国电力,2012, 45(11):96-101.
[4]郭锦锦.不同种类电动汽车充电设施布局优化研究[D].重庆:重庆交通大学,2016.
[5]陆坚毅,杨超,揭婉晨.考虑绕行特征的电动汽车快速充电站选址问题及自适应遗传算法[J].运筹与管理,2017,26(1):8-17.
[6]米阳.电动汽车充电设施的双目标最优选址问题[J].哈尔滨工程大学学报,2018,39(8):1 264-1 268.
[7]邵赛,关伟,毕军.考虑排队时间和里程约束的竞争充电站选址问题[J].交通运输系统工程与信息,2016,16(6):169-175.
[8]彭泽君,兰剑,陈艳,等.基于云重心理论的电动汽车充电站选址方法[J].电力建设,2015,36(4):1-7.
[9]杨晓飞,马健霄,仲小飞.公交服务半径及服务水平研究[J].森林工程,2011,27(1):61-64.
[10]肖卡飞,孙咏,王嵩,等.基于渐进服务半径的自提柜选址算法[J].计算机系统应用,2017,26(3):187-192.
[11]黄振森,杨珺.考虑服务容量的充电站选址问题[J].工业工程与管理,2015,(5):111-118.
[12]Malik F H,Lehtonen M.Capacity Requirements of Electric Vehicles Charging Infrastructure with the Evolution of their Market[J]. International Review on Modelling&Simulations,2014, 7(4):584.
[13]赵书强,李志伟.基于差分进化粒子群算法的城市电动汽车充电站最优规划[J].华北电力大学学报(自然科学版),2015,42(2):1-7.
[14]Efthymiou D,Chrysostomou K,Morfoulaki M,et al.Electric vehicles charging infrastructure location:a genetic algorithm approach[J].European Transport Research Review,2017,9(2):27.
[15]高建树,王明强,宋兆康,等.基于遗传算法的机场充电桩布局选址研究[J].计算机工程与应用,http://kns.cnki.net/kcms/detail/11.2127.TP.20180508.1644.002.html.
[16]褚玉婧,马良,张惠珍.时间满意逐渐覆盖电动汽车充电站选址及算法[J].数学的实践与认识, 2015, 45(10):101-106.
[17]冯超,周步祥,林楠,等.Delphi和GAHP集成的综合评价方法在电动汽车充电站选址最优决策中的应用[J].电力自动化设备,2012,32(9):25-29.
[18]傅丹华,郭忠菓,朱瑜枭,等.城市新能源汽车充电桩选址优化研究[J].产业与科技论坛,2017,16(11):69-70.
[19]赵军.城市电动汽车充电设施规划研究与应用[D].福州:福建农林大学,2017.
[20]Cooper L.Location-Allocation Problems[J].Operations Research,1963,11(3):331-343.
[21]韦晶,王萍,郭亚敏.基于GIS空间建模的银行网点选址—以山东省青岛市黄岛区为例[J].资源开发与市场,2013,29(6):563-566.
[22]武力.电动汽车充电设施规划方法研究[D].北京:华北电力大学,2012.
[23]贾斯佳,袁竞峰.电动汽车基础设施选址定容研究—以南京市河西新城为例[J].科技管理研究,2018,38(1):223-232.
[24]唐梦鸽,罗明良,魏兰,等.基于POI数据的成都市休闲娱乐热点识别[J].资源开发与市场,2018,34(9):1 191-1 195.
[25]谢小华,王瑞璋,文东宏,等.医疗设施布局的GIS优化评价—以翔安区医疗设施为例[J].地球信息科学学报,2015,17(3):317-328.
[2]Wirges J,Linder S,Kessler A.Modelling the Development of a Regional Charging Infrastructure for Electric Vehicles in Time and Space[J].European Journal of Transport&Infrastructure Research, 2012, 12(4):391-416.
[3]葛少云,冯亮,刘洪,等.电动汽车充电站规划布局与选址方案的优化方法[J].中国电力,2012, 45(11):96-101.
[4]郭锦锦.不同种类电动汽车充电设施布局优化研究[D].重庆:重庆交通大学,2016.
[5]陆坚毅,杨超,揭婉晨.考虑绕行特征的电动汽车快速充电站选址问题及自适应遗传算法[J].运筹与管理,2017,26(1):8-17.
[6]米阳.电动汽车充电设施的双目标最优选址问题[J].哈尔滨工程大学学报,2018,39(8):1 264-1 268.
[7]邵赛,关伟,毕军.考虑排队时间和里程约束的竞争充电站选址问题[J].交通运输系统工程与信息,2016,16(6):169-175.
[8]彭泽君,兰剑,陈艳,等.基于云重心理论的电动汽车充电站选址方法[J].电力建设,2015,36(4):1-7.
[9]杨晓飞,马健霄,仲小飞.公交服务半径及服务水平研究[J].森林工程,2011,27(1):61-64.
[10]肖卡飞,孙咏,王嵩,等.基于渐进服务半径的自提柜选址算法[J].计算机系统应用,2017,26(3):187-192.
[11]黄振森,杨珺.考虑服务容量的充电站选址问题[J].工业工程与管理,2015,(5):111-118.
[12]Malik F H,Lehtonen M.Capacity Requirements of Electric Vehicles Charging Infrastructure with the Evolution of their Market[J]. International Review on Modelling&Simulations,2014, 7(4):584.
[13]赵书强,李志伟.基于差分进化粒子群算法的城市电动汽车充电站最优规划[J].华北电力大学学报(自然科学版),2015,42(2):1-7.
[14]Efthymiou D,Chrysostomou K,Morfoulaki M,et al.Electric vehicles charging infrastructure location:a genetic algorithm approach[J].European Transport Research Review,2017,9(2):27.
[15]高建树,王明强,宋兆康,等.基于遗传算法的机场充电桩布局选址研究[J].计算机工程与应用,http://kns.cnki.net/kcms/detail/11.2127.TP.20180508.1644.002.html.
[16]褚玉婧,马良,张惠珍.时间满意逐渐覆盖电动汽车充电站选址及算法[J].数学的实践与认识, 2015, 45(10):101-106.
[17]冯超,周步祥,林楠,等.Delphi和GAHP集成的综合评价方法在电动汽车充电站选址最优决策中的应用[J].电力自动化设备,2012,32(9):25-29.
[18]傅丹华,郭忠菓,朱瑜枭,等.城市新能源汽车充电桩选址优化研究[J].产业与科技论坛,2017,16(11):69-70.
[19]赵军.城市电动汽车充电设施规划研究与应用[D].福州:福建农林大学,2017.
[20]Cooper L.Location-Allocation Problems[J].Operations Research,1963,11(3):331-343.
[21]韦晶,王萍,郭亚敏.基于GIS空间建模的银行网点选址—以山东省青岛市黄岛区为例[J].资源开发与市场,2013,29(6):563-566.
[22]武力.电动汽车充电设施规划方法研究[D].北京:华北电力大学,2012.
[23]贾斯佳,袁竞峰.电动汽车基础设施选址定容研究—以南京市河西新城为例[J].科技管理研究,2018,38(1):223-232.
[24]唐梦鸽,罗明良,魏兰,等.基于POI数据的成都市休闲娱乐热点识别[J].资源开发与市场,2018,34(9):1 191-1 195.
[25]谢小华,王瑞璋,文东宏,等.医疗设施布局的GIS优化评价—以翔安区医疗设施为例[J].地球信息科学学报,2015,17(3):317-328.
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