Power Flow Analysis Using Deep Neural Networks in Three-Phase Unbalanced Smart Distribution Grids

Power Flow Analysis Using Deep Neural Networks in Three-Phase Unbalanced Smart Distribution Grids

Most power systems’ approaches are currently tending towards stochastic and probabilistic methods due to the high variability of renewable sources and the stochastic nature of loads. Conventional power flow (PF) approaches such as forward-backward sweep (FBS) and Newton-Raphson require a...

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Bibliographic Details
Main Authors: Deepak Tiwari, Mehdi Jabbari Zideh, Veeru Talreja, Vishal Verma, Sarika Khushalani Solanki, Jignesh Solanki
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Power flow analysis
deep neural networks
radial basis function networks
multi-layer perceptron
convolutional neural networks
unbalanced power distribution grids
Online Access:https://ieeexplore.ieee.org/document/10444519/

Internet

https://ieeexplore.ieee.org/document/10444519/

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