Almoataz Y. Abdelaziz
Future University in Egypt
463 Papers
1.2K Citations
Almoataz Y. Abdelaziz is an academic researcher from Future University in Egypt. The author has contributed to research in topics: Computer science & Electric power system. The author has an hindex of 41, co-authored 360 publications. Previous affiliations of Almoataz Y. Abdelaziz include University of Toronto & Ain Shams University.
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Papers
Optimal Placement and Sizing of Distributed Generators in Unbalanced Distribution Systems Using Supervised Big Bang-Big Crunch Method
TL;DR: In this article, an efficient and fast-converging optimization technique based on a modification of the traditional big bang-big crunch method for optimal placement and sizing of voltage controlled distributed generators is presented.
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Flower pollination algorithm to solve combined economic and emission dispatch problems
TL;DR: In this paper, an implementation of FPA to solve ELD and CEED problems in power systems is discussed and results obtained by the proposed FPA are compared with other optimization algorithms for various power systems.
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Implementation ofperturb and observe mppt ofpv system w ith direct control m ethod using buck and buck - boost converters
Ahmed M. Atallah,Almoataz Y. Abdelaziz,Raihan S. Jumaah +2 more
- 01 Jan 2014
TL;DR: In this article, the implementation of Perturb and Observe MPPT using buck and buck-boost Converters has been discussed and some results such as current, voltage and output power for each various combination have been recorded.
Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics
Mostafa H. Mostafa,Shady H. E. Abdel Aleem,Samia Gharib Ali,Almoataz Y. Abdelaziz,Paulo F. Ribeiro,Ziad M. Ali +5 more
TL;DR: This paper presents the economic analysis and optimal energy management of a grid-connected MG that comprises renewable energy resources and different battery storage technologies with different characteristics to minimize the total operating cost of the system by maximizing the benefits of BSS, minimizing the investment and replacement cost of B SS, and minimizing the operation and maintenance cost of DGs.
A hybrid HNN-QP approach for dynamic economic dispatch problem
TL;DR: In this paper, a hybrid approach of Hopfield neural network (HNN) and quadratic programming (QP) is proposed to solve the dynamic economic dispatch (DED) problem.
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