Prof. Ali Eltamaly
king saud university
+1
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Academic Career Length
28Years (1999-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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1 January 2019 in Solar Energy
Journal Article
Ali Eltamaly
Hassan M. Hussein Farh1 April 2013 in Electric Power Systems Research
Journal Article
Ali EltamalyHassan M. Hussein FarhJournal Article
Ali EltamalyThe problem of partial shading has serious effects on the performance of photovoltaic (PV) systems. Adding a bypass diode in shunt to each PV module avoids hot-spot phenomena, but causes multi-peaks in the power–voltage (P–V) characteristics of the PV array, which cause traditional maximum power point tracking (MPPT) techniques to become trapped in local peaks. This problem has forced researchers to search for smart techniques to track global peaks and prevent the possibility of convergence at local peaks. Swarm optimization techniques have been used to fill this shortcoming; unfortunately, however, these techniques suffer from unacceptably long convergence time. Cuckoo search (CS) is one of the fastest and most reliable optimization techniques, making it an ideal option to be used as an MPPT of PV systems under dynamic partial shading conditions. The standard CS algorithm has a long conversion time, high failure rate, and high oscillations at steady state; this paper aims to overcome these problems and to fill this research gap by improving the performance of the CS. The results obtained from this technique are compared to five swarm optimization techniques. The comparison study shows the superiority of the improved CS strategy introduced in this paper over the other swarm optimization techniques.
11 August 2016 in PLOS ONE
Journal Article
This paper introduces an optimal sizing algorithm for a hybrid renewable energy system using smart grid load management application based on the available generation. This algorithm aims to maximize the system energy production and meet the load demand with minimum cost and highest reliability. This system is formed by photovoltaic array, wind turbines, storage batteries, and diesel generator as a backup source of energy. Demand profile shaping as one of the smart grid applications is introduced in this paper using load shifting-based load priority. Particle swarm optimization is used in this algorithm to determine the optimum size of the system components. The results obtained from this algorithm are compared with those from the iterative optimization technique to assess the adequacy of the proposed algorithm. The study in this paper is performed in some of the remote areas in Saudi Arabia and can be expanded to any similar regions around the world. Numerous valuable results are extracted from this study that could help researchers and decision makers.
About Me
Ali Mohamed Eltamaly (Ph.D., 2000) is a full professor at Mansoura University, Egypt, and King Saud University, Saudi Arabia. He received his B.Sc. and M.Sc. degrees in electrical engineering from Al-Minia University, Egypt, in 1992 and 1996, respectively. He received his Ph.D. in Electrical Engineering from Texas A&M University in 2000. His current research interests include renewable energy, smart grids, power electronics, motor drives, power quality, artificial intelligence, evolutionary and heuristic optimization techniques, and distributed generation. He has published 20 books and book chapters, and he has authored or co-authored more than 200 refereed journals and conference papers. He published several patents in the US Patent Office. He has supervised several M.S. and Ph.D. theses and worked on several national and international technical projects. He was granted the distinguished professor award for scientific excellence by the Egyptian Supreme Council of Universities in June 2017 and has been awarded many prizes at different universities in Egypt and Saudi Arabia. He has participated as an editor and associate editor in many international journals and has chaired many international conference sessions. He is the chair professor of the Saudi Electricity Company Chair in power system reliability and security at King Saud University, Riyadh, Saudi Arabia.