CNN data-driven active distribution network: Integration research of topology reconstruction and optimal scheduling in multi-source uncertain environment

Author:

Lyu Zhilin,Ni Xingyu,Bai Xiaoqing,Wang Chongyang,Liu Bin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Elsevier BV

Reference31 articles.

1. Dynamic reconfiguration of active distribution network considering electric vehicles and distributed generations;Li;Autom Electr Power Syst,2018

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3. Value of distribution network reconfiguration in presence of renewable energy resources;Dorostkar-Ghamsari;IEEE Trans Power Syst,2015

4. Search for a minimal-loss operating spanning tree configuration in an urban power distribution system[C]//Proc. 5th Power System Computation Conf;Merlin;Cambridge, UK,1975

5. Batch-constrained reinforcement learning for dynamic distribution network reconfiguration;Gao;IEEE Trans Smart Grid,2020

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