M
Mahmoud G. Hemeida
Publications - 3
Citations - 133
Mahmoud G. Hemeida is an academic researcher. The author has contributed to research in topics: AC power & Search algorithm. The author has an hindex of 2, co-authored 3 publications receiving 26 citations.
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Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)
Mahmoud G. Hemeida,Abdalla Ahmed Ibrahim,Al-Attar Ali Mohamed,Salem Alkhalaf,Ayman M. Bahaa El-Dine +4 more
TL;DR: In this study the Manta Ray Foraging optimization algorithm (MRFO) is applied to minimize power losses through sizing and allocation of DG type I integrated into radial distribution network (RDN).
Journal ArticleDOI
Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)
Mahmoud G. Hemeida,Salem Alkhalaf,Al-Attar Ali Mohamed,Abdalla Ahmed Ibrahim,Tomonobu Senjyu +4 more
TL;DR: The best size and location of distributed generations units have been determined to optimize three different objective functions and it is clear that voltage buses are improved; and power losses are decreased in both IEEE 33-bus and IEEE 69-bus system for all studied cases.
Journal ArticleDOI
Optimal probabilistic location of DGs using Monte Carlo simulation based different bio-inspired algorithms
Mahmoud G. Hemeida,Salem Alkhalaf,Tomonobu Senjyu,Abdalla Ahmed Ibrahim,Mahrous Ahmed,Ayman M. Bahaa-Eldin +5 more
TL;DR: This paper presents Monte Carlo simulation based different bio-inspired algorithms, grey wolf optimization (GWO), manta ray foraging optimization (MRFO), satin bower bird optimization (SBO) and whale optimization (WOA) to optimize locations of three DG units under load uncertainties considering 500 scenarios.