Enhancing solar power harvesting with pinnacle multipoint optimization: a novel technique for maximum power point tracking

This study introduces a new technique called Pinnacle Multipoint Optimization (PMO) for Maximum Power Point Tracking (MPPT). The approach is specifically developed to improve the performance of photovoltaic (PV) systems in both regular and partially shaded settings. The PMO algorithm adaptively modifies three crucial tracking points to effectively traverse the power-voltage (P-V) curve, guaranteeing precise monitoring (GMPP). The PMO algorithm has been proven to surpass the classic Perturb and Observe (P&O) approach regarding efficiency, tracking speed, and resilience through comprehensive simulations conducted under diverse irradiation settings. More precisely, when there is partial shadowing, the PMO approach demonstrates significant enhancements compared to the P&O method, which only achieves an average efficiency of 54.71%. The PMO algorithm is proficient in optimizing energy output and minimizing power dissipation in photovoltaic systems.

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Publication Details

Journal
Frontiers in Energy Research
Published
2025-04-09
DOI
https://doi.org/10.3389/fenrg.2025.1472768
Citations
1
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.36
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article

Enhancing solar power harvesting with pinnacle multipoint optimization: a novel technique for maximum power point tracking

Youssef Lagmich, Youssef Mhanni
1 citations
Frontiers in Energy Research
Photovoltaic System Optimization Techniques
0.36
article

Enhancing solar power harvesting with pinnacle multipoint optimization: a novel technique for maximum power point tracking

Youssef Lagmich, Youssef Mhanni
article en
1 citations

Abstract

This study introduces a new technique called Pinnacle Multipoint Optimization (PMO) for Maximum Power Point Tracking (MPPT). The approach is specifically developed to improve the performance of photovoltaic (PV) systems in both regular and partially shaded settings. The PMO algorithm adaptively modifies three crucial tracking points to effectively traverse the power-voltage (P-V) curve, guaranteeing precise monitoring (GMPP). The PMO algorithm has been proven to surpass the classic Perturb and Observe (P&O) approach regarding efficiency, tracking speed, and resilience through comprehensive simulations conducted under diverse irradiation settings. More precisely, when there is partial shadowing, the PMO approach demonstrates significant enhancements compared to the P&O method, which only achieves an average efficiency of 54.71%. The PMO algorithm is proficient in optimizing energy output and minimizing power dissipation in photovoltaic systems.

Frontiers in Energy ResearchVol. 13
Abdelmalek Essaâdi University (MA)
Openalex Percentile: Top 45%
Photovoltaic System Optimization Techniques
0.36
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Enhancing solar power harvesting with pinnacle multipoint optimization: a novel technique for maximum power point tracking — Youssef Lagmich, Youssef Mhanni · Frontiers in Energy Research (2025) | TGRS Research Map | TGRS