Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)

• Published in: Ain Shams Engineering Journal Vol. 12; no. 1; pp. 609 - 619
• Main Authors: Mahmoud G. Hemeida, Abdalla Ahmed Ibrahim, Al-Attar A. Mohamed, Salem Alkhalaf, Ayman M. Bahaa El-Dine
• Format: Journal Article
• Language: English
• Published: Elsevier 01-03-2021
• ISSN: 2090-4479
• DOI: 10.1016/j.asej.2020.07.009

The endless problem of energy supplies are always floating on the surface. As a result, there are a daily improvement to optimize power generators, networks and system configuration. Renewable distributed generators (RDG) are in the heart of these developments. The size of RDG is increasing daily so, it must be optimized to maximize benefits and eliminate drawbacks. Optimization algorithms are one of the fast growing techniques. 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). The proposed technique was tested on three different networks, IEEE 33, 69 and 85 test systems. Also, three cases were assumed to evaluate the effectiveness of MRFO algorithm. The results were compared to recent applied techniques.