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- W3157609112 abstract "<p>In this work, <span style=font-family: 'Times New Roman';>t</span>aking the coupled 54-node power distribution system and 25-node power flow system as examples, the effectiveness of this method is verified. In addition, a multi-objective ADN joint planning model is established by means of Wasserstein distance measurement and K-medoid scenario analysis. The location, size RES, BESS and expansion schemes of distribution network based on this model are analyzed in detail, in order to provide scientific, reliable, and cost-maximized EVCS’s charging service capabilities. More importantly, we propose a multi-objective optimization algorithm−MONAA algorithm to solve the model.</p>" @default.
- W3157609112 created "2021-05-10" @default.
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- W3157609112 date "2021-04-28" @default.
- W3157609112 modified "2023-09-23" @default.
- W3157609112 title "Research on Identification Algorithm of Fragile Nodes: Based on Static and Dynamic Combination of Uncertainty in New Energy" @default.
- W3157609112 doi "https://doi.org/10.18686/esta.v8i1.173" @default.
- W3157609112 hasPublicationYear "2021" @default.
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