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A novel methodology for simulating maximum power point trackers using mine blast optimization and teaching learning based optimization algorithms for partially shaded photovoltaic system
Faculty
Engineering
Year:
2016
Type of Publication:
ZU Hosted
Pages:
Authors:
Ahmed Fathy Mohamed Ali Ali
Staff Zu Site
Abstract In Staff Site
Journal:
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY American Institute of Physics Inc.
Volume:
Keywords :
, novel methodology , simulating maximum power point trackers
Abstract:
When the photovoltaic (PV) system is fully illuminated, the voltage-power characteristic of the array has one maximum power point (MPP). This point can be tracked by conventional maximum power point tracker algorithms. On the other hand,
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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
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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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