Comparative Study of White Shark Optimization and Combined Meta-Heuristic Algorithm for Enhanced MPPT in Photovoltaic Systems
This paper proposes a novel hybrid metaheuristic algorithm (MHA) for maximum power point tracking (MPPT), integrating particle swarm optimization (PSO), the differential evolution algorithm (DEA), and the grey wolf optimizer (GWO). The proposed method is inspired by the structural phases of the whit...
Saved in:
| Main Authors: | Fajar Kurnia Al Farisi, Zhi-Kai Fan, Kuo-Lung Lian |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/8/2110 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MPPT Tracking of Adaptive Lighting and Partial Shading in Photovoltaic Systems
by: QUAN Shao-li, et al.
Published: (2020-12-01) -
A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions
by: Chuanlai Yuan, et al.
Published: (2024-01-01) -
A Technical Review of MPPT Algorithms for Solar Photovoltaic System: SWOT Analysis of MPPT Algorithms
by: Muhammad Mateen Afzal Awan
Published: (2022-06-01) -
Enhanced ANN-Based MPPT for Photovoltaic Systems: Integrating Metaheuristic and Analytical Algorithms for Optimal Performance Under Partial Shading
by: Alpaslan Demirci, et al.
Published: (2025-01-01) -
RETRACTED ARTICLE: Enhancing MPPT performance for partially shaded photovoltaic arrays through backstepping control with Genetic Algorithm-optimized gains
by: Serge Raoul Dzonde Naoussi, et al.
Published: (2024-02-01)