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    Joint Planning of a Distribution System and a Charging Network for Electric Vehicles

    Source: Journal of Energy Engineering:;2021:;Volume ( 147 ):;issue: 001::page 04020085-1
    Author:
    Hongtao Ren
    ,
    Qing Deng
    ,
    Fushuan Wen
    ,
    Jinqiao Du
    ,
    Peng Yu
    ,
    Jie Tian
    DOI: 10.1061/(ASCE)EY.1943-7897.0000734
    Publisher: ASCE
    Abstract: The 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.
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      Joint Planning of a Distribution System and a Charging Network for Electric Vehicles

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271240
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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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