Optimization of a Photovoltaic Pumping System Using a Modified ABC Algorithm

The renewable energy sector continues to deliver sustainable solutions for critical industrial applications, particularly in water pumping systems. Our research introduces an enhanced Artificial Bee Colony (ABC) optimization approach specifically designed to boost the performance of solar-powered pu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Electronics, Computers and Artificial Intelligence (Online) S. 1 - 4
Hauptverfasser: Ballouti, Abdelkarim, Chouiekh, Mohamed, Ameziane, Hatim, HASSANE, LATRACH, Mourabit, Youness El, Zakriti, Alia
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 26.06.2025
Schlagworte:
Artificial bee colony algorithm
Induction motors
MATLAB
Maximum power point trackers
Maximum Power Point Tracking (MPPT)
Modified Artificial Bee Colony (ABC)
Optimization
Photovoltaic (PV)
Photovoltaic systems
Pumping systems
Regulation
Renewable energy
Renewable energy sources
Stability analysis
Three-phase induction motor
Torque
ISSN:2688-0253
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The renewable energy sector continues to deliver sustainable solutions for critical industrial applications, particularly in water pumping systems. Our research introduces an enhanced Artificial Bee Colony (ABC) optimization approach specifically designed to boost the performance of solar-powered pumping systems. Through comprehensive MATLAB simulations of a complete PV system incorporating a three-phase induction motor and DC-DC boost converter, our modified ABC algorithm successfully achieved exceptional 98% maximum power point tracking efficiency. The system demonstrates remarkable torque stabilization capabilities while reliably maintaining consistent pump flow rates. These significant improvements clearly establish the advantages of our proposed method over conventional MPPT approaches. The findings strongly support the practical potential of ABC-based optimization in renewable energy applications, presenting industries with an effective and dependable sustainable energy solution.
ISSN:2688-0253
DOI:10.1109/ECAI65401.2025.11095487