Simulation of global MPPT based on teaching–learning-based optimization technique for partially shaded PV system

Faculty Engineering Year: 2017
Type of Publication: ZU Hosted Pages: 847–859
Authors:
Ahmed Fathy Mohamed Ali Ali
Journal: Electrical energy Springer Volume:
Keywords : Simulation , global MPPT based , teaching–learning-based optimization technique    
Abstract:
The power against voltage curve for PV power system during shadow condition contains number of local maximum power points (MPPs) and only one global. The classical maximum power point tracking (MPPT) algorithms are designed to follow th
    
     
 
       

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  • Ahmed Fathy Mohamed Ali Ali, "Optimization of a PV fed water pumping system without storage based on teaching-learning-based optimization algorithm and artificial neural network", ELSEVIER, 2016 More
  • Ahmed Fathy Mohamed Ali Ali, "A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions", Elsevier Ltd., 2017 More
  • Ahmed Fathy Mohamed Ali Ali, "Grey Wolf Optimizer for Optimal Sizing and Siting of Energy Storage System in Electric Distribution Network", Taylor & Francis, 2017 More
  • Ahmed Fathy Mohamed Ali Ali, "Parameter estimation of photovoltaic system using imperialist competitive algorithm", Elsevier Ltd., 2017 More
  • Ahmed Fathy Mohamed Ali Ali, "A novel optimal parameters identification of triple-junction solar cell based on a recently meta-heuristic water cycle algorithm", Elsevier Ltd., 2017 More

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