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MPPT algorithm based on metaheuristic techniques (PSO & GA) dedicated to improve wind energy water pumping system
Abdelhak Bouchakour1, Laid Zarour2, Noureddine Bessous3
1Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Algeria.
Scientific Reports
|August 2, 2024
Summary
This study compares four methods for improving wind energy conversion systems (WECS) for water pumping. Optimized Fuzzy Logic Control significantly enhances power generation compared to conventional methods.
Area of Science:
- Renewable Energy Systems
- Control Engineering
Background:
- Wind energy conversion systems (WECS) are rapidly developing renewable energy sources.
- Utilizing WECS for water pumping offers an economical alternative to grid electricity.
- Permanent magnet synchronous generators are commonly used in WECS for efficient power generation.
Purpose of the Study:
- To comparatively analyze four recent techniques for enhancing WECS in water pumping applications.
- To evaluate the effectiveness of optimized Fuzzy Logic Control against conventional methods for maximizing power generation.
Main Methods:
- A comparative study was conducted using Matlab/Simulink simulations.
- Four control techniques were evaluated: optimized Fuzzy Logic Control (using genetic algorithm and particle swarm optimization) and the conventional Perturb and Observe Maximum Power Point Tracking (MPPT) method.
- Performance was assessed based on output voltage, current, power waveforms, intermediate circuit voltage, and generator speed.
Main Results:
- The optimized Fuzzy Logic Control demonstrated superior performance in maximizing power generation.
- Simulation results validated the effectiveness of the proposed control strategy.
- Key performance indicators such as output voltage, current, power, and generator speed were analyzed.
Conclusions:
- The applied control strategy, particularly the optimized Fuzzy Logic Control, is effective for improving WECS in water pumping systems.
- This research highlights the potential of advanced control techniques for enhancing renewable energy applications.
- Further research could explore real-world implementation and long-term performance analysis.
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