An Enhanced Grey Wolf Optimization Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading Conditions

An Enhanced Grey Wolf Optimization Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading Conditions

A partial shading condition (PSC) is one of the most common problems in the photovoltaic (PV) system. It causes the output power of a PV system drastically decrease. Meta-heuristic algorithms (MHA) can track the maximum power point in a power-voltage (P-V) curve with multiple peaks. Grey wolf optimi...

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Bibliographic Details
Main Authors: Ibrahim Saiful Millah, Pei Cheng Chang, Dawit Fekadu Teshome, Ramadhani Kurniawan Subroto, Kuo Lung Lian, Jia-Fu Lin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Maximum power point tracking (MPPT)
modified grey wolf optimizer (MGWO)
partial shading condition (PSC)
photovoltaic (PV) array
Online Access:https://ieeexplore.ieee.org/document/9785916/

Internet

https://ieeexplore.ieee.org/document/9785916/

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