ArticleScientific reports2024
A new intelligently optimized model reference adaptive controller using GA and WOA-based MPPT techniques for photovoltaic systems.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed.
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- Hybrid beluga whale optimization based MPPT for photovoltaic powered open end winding induction motor drives.Scientific reports · 2025Article
- A novel global MPPT method based on sooty tern optimization for photovoltaic systems under complex partial shading.Scientific reports · 2025Article
- FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness.Scientific reports · 2025Article
- A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system.Scientific reports · 2025Article
- Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions.Scientific reports · 2025Article
- Enhanced photovoltaic panel diagnostics through AI integration with experimental DC to DC Buck Boost converter implementation.Scientific reports · 2025Article
- A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment.Scientific reports · 2024Article
- A new MPPT mechanism based on multi-verse optimization algorithm tuned FLC for photovoltaic systems.Scientific reports · 2024Article
- A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems.Scientific reports · 2024Article
- Experimental validation of a novel hybrid Equilibrium Slime Mould Optimization for solar photovoltaic system.Heliyon · 2024Article
- Experimental validation of effective zebra optimization algorithm-based MPPT under partial shading conditions in photovoltaic systems.Scientific reports · 2024Article
- Performance Comparison of Bio-Inspired Algorithms for Optimizing an ANN-Based MPPT Forecast for PV Systems.Biomimetics (Basel, Switzerland) · 2024Article
- Experimental validation of a low-cost maximum power point tracking technique based on artificial neural network for photovoltaic systems.Scientific reports · 2024Article
- Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm.Scientific reports · 2024Article
- Enhancing residential energy access with optimized stand-alone hybrid solar-diesel-battery systems in Buea, Cameroon.Scientific reports · 2024Article
- Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments.Scientific reports · 2024Article
- Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia.Scientific reports · 2024Article
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5 authors.
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Abstract
Recently, the integration of renewable energy sources, specifically photovoltaic (PV) systems, into power networks has grown in significance for sustainable energy generation. Researchers have investigated different control algorithms for maximum power point tracking (MPPT) to enhance the efficiency of PV systems. This article presents an innovative method to address the problem of maximum power point tracking in photovoltaic systems amidst swiftly changing weather conditions. MPPT techniques supply maximum power to the load during irradiance fluctuations and ambient temperatures. A novel optimal model reference adaptive controller is developed and designed based on the MIT rule to seek global maximum power without ripples rapidly. The suggested controller is also optimized through two popular meta-heuristic algorithms: The genetic algorithm (GA) and the whale optimization algorithm (WOA). These meta-heuristic approaches have been exploited to overcome the difficulty of selecting the adaptation gain of the MRAC controller. The reference voltage for MPPT is generated in the study through an adaptive neuro-fuzzy inference system. The suggested controller's performance is tested via MATLAB/Simulink software under varying temperature and radiation circumstances. Simulation is carried out using a Soltech 1sth-215-p module coupled to a boost converter, which powers a resistive load. Furthermore, to emphasize the recommended algorithm's performance, a comparative study was done between the optimal MRAC using GA and WOA and the conventional incremental conductance (INC) method.
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