Enhanced MPPT Strategy for Solar PV under Partial Shading using Improved Grey Wolf Optimization

This paper proposes an Improved Grey Wolf Optimization (IGWO) algorithm to address the challenge of reduced Maximum Power Point Tracking (MPPT) efficiency in photovoltaic (PV) systems under partial shading conditions. The IGWO algorithm enhances the standard Grey Wolf Optimization (GWO) by updating the alpha vector with each iteration, aiming to improve convergence rates and reduce the risk of local optima. Simulation results using MATLAB-SIMULINK on a single-diode Solar-PV system demonstrate that the IGWO algorithm outperforms traditional GWO-based MPPT algorithms by overcoming reduced tracking efficiency and steady-state oscillations. The IGWO algorithm leads to improved tracking speed and overall performance under partial shading conditions.

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Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905448
Citations
1
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.10
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article

Enhanced MPPT Strategy for Solar PV under Partial Shading using Improved Grey Wolf Optimization

Wencong Su, Gajendra Singh Chawda, Mengqi Wang
1 citations
Photovoltaic System Optimization Techniques
0.10
article

Enhanced MPPT Strategy for Solar PV under Partial Shading using Improved Grey Wolf Optimization

Wencong Su, Gajendra Singh Chawda, Mengqi Wang
article en
1 citations

Abstract

This paper proposes an Improved Grey Wolf Optimization (IGWO) algorithm to address the challenge of reduced Maximum Power Point Tracking (MPPT) efficiency in photovoltaic (PV) systems under partial shading conditions. The IGWO algorithm enhances the standard Grey Wolf Optimization (GWO) by updating the alpha vector with each iteration, aiming to improve convergence rates and reduce the risk of local optima. Simulation results using MATLAB-SIMULINK on a single-diode Solar-PV system demonstrate that the IGWO algorithm outperforms traditional GWO-based MPPT algorithms by overcoming reduced tracking efficiency and steady-state oscillations. The IGWO algorithm leads to improved tracking speed and overall performance under partial shading conditions.

University of Michigan–Dearborn (US)
Affordable and clean energy
Openalex Percentile: Top 62%
Photovoltaic System Optimization Techniques
0.10
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Enhanced MPPT Strategy for Solar PV under Partial Shading using Improved Grey Wolf Optimization — Wencong Su, Gajendra Singh Chawda, et al. · (2024) | TGRS Research Map | TGRS