Data‐driven approach for real‐time distribution network reconfiguration

Data‐driven approach for real‐time distribution network reconfiguration

Finding a global optimal solution to the distribution network reconfiguration (DNR) problem in a short time is a challenging task. This study proposes a real‐time online data‐driven DNR (3DNR) method. Power loss minimisation, lowest bus voltage maximisation and reliability maximisation are taken as...

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Bibliographic Details
Main Authors: Ziyang Yin, Xingquan Ji, Yumin Zhang, Qi Liu, Xingzhen Bai
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:IET Generation, Transmission & Distribution
Subjects:
metaheuristic algorithm
data drive model requirements
improved convolution neural network
3DNR
real‐time online reconfiguration
practical distribution system
Online Access:https://doi.org/10.1049/iet-gtd.2019.1733

Internet

https://doi.org/10.1049/iet-gtd.2019.1733

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