An Approach Based on Golden Eagle Optimization Algorithm for Maximum Power Point Tracking of PV Panel Under Partial Shading Conditions

Waleed Mohammed .m. Aburas; Necmi Serkan Tezel

Makale detayları

An Approach Based on Golden Eagle Optimization Algorithm for Maximum Power Point Tracking of PV Panel Under Partial Shading Conditions

Yazarlar:

Waleed Mohammed .m. Aburas | Necmi Serkan Tezel

Yayıncı:

Gazi University

Ana Başlıklar:

Elektrik Enerjisi Üretimi (Yenilenebilir Kaynaklar Dahil | Fotovoltaikler Hariç)

Dergi:

Politeknik Dergisi Vol.28 Issue 4, pp.1217-1230

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001354304

pISSN:

2147-9429

Anahtar kelimeler:

Özet:

 This study introduces an innovative Maximum Power Point Tracking MPPT technique utilizing the Golden Eagle Optimization GEO method, specifically designed to enhance the efficiency of photovoltaic PV systems under partial shading conditions. Unlike traditional MPPT approaches that struggle with local peaks in power-voltage curves caused by shading, the GEO method leverages the hunting behavior-inspired algorithm to accurately locate the global maximum power point GMPP. The effectiveness of the GEO MPPT technique is demonstrated through extensive simulations across three diverse case scenarios, each representing different partial shading patterns. In all scenarios, the GEO method outperforms conventional MPPT techniques, showcasing its adaptability and superior performance in challenging conditions. The successful implementation of GEO MPPT leads to substantial improvements in PV panel energy extraction efficiency, even when faced with the complexities of partial shading. This research contributes significantly to the advancement of solar PV systems, enhancing their reliability and performance in real-world environments. By mitigating the impact of partial shading, this work promotes the wider adoption of solar energy as a viable and sustainable power solution.

 This study introduces an innovative Maximum Power Point Tracking MPPT technique utilizing the Golden Eagle Optimization GEO method, specifically designed to enhance the efficiency of photovoltaic PV systems under partial shading conditions. Unlike traditional MPPT approaches that struggle with local peaks in power-voltage curves caused by shading, the GEO method leverages the hunting behavior-inspired algorithm to accurately locate the global maximum power point GMPP. The effectiveness of the GEO MPPT technique is demonstrated through extensive simulations across three diverse case scenarios, each representing different partial shading patterns. In all scenarios, the GEO method outperforms conventional MPPT techniques, showcasing its adaptability and superior performance in challenging conditions. The successful implementation of GEO MPPT leads to substantial improvements in PV panel energy extraction efficiency, even when faced with the complexities of partial shading. This research contributes significantly to the advancement of solar PV systems, enhancing their reliability and performance in real-world environments. By mitigating the impact of partial shading, this work promotes the wider adoption of solar energy as a viable and sustainable power solution.

 This study introduces an innovative Maximum Power Point Tracking MPPT technique utilizing the Golden Eagle Optimization GEO method, specifically designed to enhance the efficiency of photovoltaic PV systems under partial shading conditions. Unlike traditional MPPT approaches that struggle with local peaks in power-voltage curves caused by shading, the GEO method leverages the hunting behavior-inspired algorithm to accurately locate the global maximum power point GMPP. The effectiveness of the GEO MPPT technique is demonstrated through extensive simulations across three diverse case scenarios, each representing different partial shading patterns. In all scenarios, the GEO method outperforms conventional MPPT techniques, showcasing its adaptability and superior performance in challenging conditions. The successful implementation of GEO MPPT leads to substantial improvements in PV panel energy extraction efficiency, even when faced with the complexities of partial shading. This research contributes significantly to the advancement of solar PV systems, enhancing their reliability and performance in real-world environments. By mitigating the impact of partial shading, this work promotes the wider adoption of solar energy as a viable and sustainable power solution.

 This study introduces an innovative Maximum Power Point Tracking MPPT technique utilizing the Golden Eagle Optimization GEO method, specifically designed to enhance the efficiency of photovoltaic PV systems under partial shading conditions. Unlike traditional MPPT approaches that struggle with local peaks in power-voltage curves caused by shading, the GEO method leverages the hunting behavior-inspired algorithm to accurately locate the global maximum power point GMPP. The effectiveness of the GEO MPPT technique is demonstrated through extensive simulations across three diverse case scenarios, each representing different partial shading patterns. In all scenarios, the GEO method outperforms conventional MPPT techniques, showcasing its adaptability and superior performance in challenging conditions. The successful implementation of GEO MPPT leads to substantial improvements in PV panel energy extraction efficiency, even when faced with the complexities of partial shading. This research contributes significantly to the advancement of solar PV systems, enhancing their reliability and performance in real-world environments. By mitigating the impact of partial shading, this work promotes the wider adoption of solar energy as a viable and sustainable power solution.

Makale detayları

An Approach Based on Golden Eagle Optimization Algorithm for Maximum Power Point Tracking of PV Panel Under Partial Shading Conditions

Yazarlar:

Waleed Mohammed .m. Aburas | Necmi Serkan Tezel

Yayıncı:

Gazi University

Ana Başlıklar:

Elektrik Enerjisi Üretimi (Yenilenebilir Kaynaklar Dahil | Fotovoltaikler Hariç)

Dergi:

Politeknik Dergisi Vol.28 Issue 4, pp.1217-1230

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001354304

pISSN:

2147-9429

Golden Eagle Optimization Algorithm

Maximum Power Point Tracking

PV Panel

Partial Shading Conditions.Golden Eagle Optimization Algorithm

Maximum Power Point Tracking

PV Panel

Partial Shading Conditions

Sayı

Makale detayları

Yazarlar: Waleed Mohammed .m. Aburas | Necmi Serkan Tezel

Yayıncı: Gazi University

Ana Başlıklar: Elektrik Enerjisi Üretimi (Yenilenebilir Kaynaklar Dahil | Fotovoltaikler Hariç)

Dergi: Politeknik Dergisi Vol.28 Issue 4, pp.1217-1230

Belge Tipi: Makale

Yayın Tarihi: 6/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001354304

pISSN: 2147-9429

Sayı

Yazarlar:

Waleed Mohammed .m. Aburas | Necmi Serkan Tezel

Yayıncı:

Gazi University

Ana Başlıklar:

Elektrik Enerjisi Üretimi (Yenilenebilir Kaynaklar Dahil | Fotovoltaikler Hariç)

Dergi:

Politeknik Dergisi Vol.28 Issue 4, pp.1217-1230

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001354304

pISSN:

2147-9429