Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks

Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks

Reconfiguring photovoltaic (PV) array connections among different topologies such as series-parallel, bridge-link, honeycomb, or total-cross-tied is a popular strategy to mitigate impediments in power production caused by partial shading. Conventional approaches rely on either by-passing or replacin...

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Bibliographic Details
Main Authors: Vivek Narayanaswamy, Raja Ayyanar, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Topology reconfiguration
solar energy
partial shading
photovoltaic arrays
deep neural networks
Online Access:https://ieeexplore.ieee.org/document/10024141/

Internet

https://ieeexplore.ieee.org/document/10024141/

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