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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
Staff Zu Site
Abstract In Staff Site
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
Author Related Publications
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
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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
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Ahmed Fathy Mohamed Ali Ali, "Grey Wolf Optimizer for Optimal Sizing and Siting of Energy Storage System in Electric Distribution Network", Taylor & Francis, 2017
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Ahmed Fathy Mohamed Ali Ali, "Parameter estimation of photovoltaic system using imperialist competitive algorithm", Elsevier Ltd., 2017
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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
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Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini Environmental Economic Dispatching Based on Artificial Networks", لايوجد, 1900
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