With the rapid development of electric vehicles, when the distribution network suffers a blackout caused by extreme events, it can be added to the fault recovery of the distribution network as a mobile energy storage device. For this reason, a multi-period distribution network fault recovery strategy considering electric vehicles is proposed. First of all, considering the influence of traffic network, the temporal and spatial distribution model of electric vehicle is established according to the decentralized random characteristics of electric vehicle. Secondly, in order to restore the important load first, the Tabu search algorithm is used to plan the charging pile by taking the minimum normalized difference between the candidate solution of the algorithm and the objective matrix considering the starting and ending position and load grade weight of electric vehicle as the objective function. Then, taking the maximum load recovery as the main goal and the minimum network loss as the secondary objective, a distribution network fault recovery model considering the power supply recovery capability of electric vehicles is constructed. Finally, taking the IEEE33 node distribution network and the 29-node traffic network as examples, the cplex solver is used to verify the effectiveness and superiority of the strategy.


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    Title :

    Multi-period distribution network fault recovery strategy considering electric vehicles


    Contributors:
    Jiang, Geling (author) / Lu, Jinjun (author) / Du, Ce (author)


    Publication date :

    2024-06-14


    Size :

    494066 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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