Optimization of a PV fed water pumping system without storage based on teaching-learning-based optimization algorithm and artificial neural network

Faculty Engineering Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed Fathy Mohamed Ali Ali
Journal: Solar Energy ELSEVIER Volume: 139
Keywords : Optimization , , , , water pumping system without storage    
Abstract:
In this paper an optimal performance of three phase induction motor drives a centrifugal water pump and fed from photovoltaic (PV) system without storage elements during starting and running is presented. A three level three phase inverte
    
     
 
       

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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 More
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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 More
  • Ahmed Fathy Mohamed Ali Ali, "Reliable and efficient approach for mitigating the shading effect on photovoltaic module based on Modified Artificial Bee Colony algorithm", Elsevier Ltd., 2015 More

Department Related Publications

  • Amal Farouk Abdelgawad Badaawi, "Power Factor Improvement for Pumping Stations using Capacitor Banks", Int. J. Emerg. Electr. Power Syst., 2016 More
  • Hytham Saad Mohamed Ramadan, "Power Factor Improvement for Pumping Stations using Capacitor Banks", Int. J. Emerg. Electr. Power Syst., 2016 More
  • Ahmed Mohamed Othman Abdelmaksoud, "Particle Swarm Optimization and Genetic Algorithm for Convex and Non-convex ED", International Review of Electrical Engineering (IREE), 2014 More
  • Abdellatif Mohamed Abdelattef Elzen, "Incipient electric field determination for bush and streamer stage and dielectric liquid under energy balance condition", Elsevier, 2016 More
  • Ehab Saliem Ali Mohamed Salamh, "Load Frequency Controller Design via Artificial Cuckoo Search Algorithm", Taylor & Francis, 2016 More
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