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contributor authorHongtao Ren
contributor authorQing Deng
contributor authorFushuan Wen
contributor authorJinqiao Du
contributor authorPeng Yu
contributor authorJie Tian
date accessioned2022-02-01T00:18:38Z
date available2022-02-01T00:18:38Z
date issued2/1/2021
identifier other%28ASCE%29EY.1943-7897.0000734.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271240
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.
publisherASCE
titleJoint Planning of a Distribution System and a Charging Network for Electric Vehicles
typeJournal Paper
journal volume147
journal issue1
journal titleJournal of Energy Engineering
identifier doi10.1061/(ASCE)EY.1943-7897.0000734
journal fristpage04020085-1
journal lastpage04020085-14
page14
treeJournal of Energy Engineering:;2021:;Volume ( 147 ):;issue: 001
contenttypeFulltext


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