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dc.contributor.authorHongtao Ren
dc.contributor.authorQing Deng
dc.contributor.authorFushuan Wen
dc.contributor.authorJinqiao Du
dc.contributor.authorPeng Yu
dc.contributor.authorJie Tian
dc.date.accessioned2022-02-01T00:18:38Z
dc.date.available2022-02-01T00:18:38Z
dc.date.issued2/1/2021
dc.identifier.other%28ASCE%29EY.1943-7897.0000734.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271240
dc.description.abstractThe spatial-temporal distribution of electric vehicle (EV) charging loads can be improved by implementing optimized charging scheduling, and by the joint planning of a distribution network (DN) and a charging network of EVs. In this paper, such a joint planning scheme was studied and modeled as two-level optimization model. In the upper level of the optimization, a joint planning model of a DN and a charging network of EVs with distributed photovoltaic (PV) systems and/or energy storage (ES) units is constructed to minimize the total cost. Then the optimized results of the DN and the EV charging network construction plan are used as the inputs of the lower-level operation model. In the lower-level operation optimization, an optimal charging scheduling approach is proposed to minimize the sum of the DN’s operation cost and the traffic congestion cost. The spatial-temporal distribution of the charging demand, under an optimized charging strategy, is used as feedback for the upper-level optimization model, which effectively can reduce the scale of the DN and the charging network construction. The proposed joint planning model was demonstrated through applications in a city in China.
dc.publisherASCE
dc.titleJoint Planning of a Distribution System and a Charging Network for Electric Vehicles
dc.typeJournal Paper
dc.journal.volume147
dc.journal.issue1
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/(ASCE)EY.1943-7897.0000734
dc.journal.fristpage04020085-1
dc.journal.lastpage04020085-14
dc.page14
dc.treeJournal of Energy Engineering:;2021:;Volume ( 147 ):;issue: 001
dc.contenttypeFulltext


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