Staff Members - Benha University
Abdel-Rahman Sobieh, M. Mandour, Ebtisam M. Saied, M.M. Salama, “Optimal Number, Size, and Location of Distributed Generation Units in Radial Distribution Systems Using Grey Wolf Optimizer”, International Electrical Engineering Journal (IEEJ), Vol. 7 (2017), No. 9, ISSN 2367-2376, pp. 501 - 510. http://www.ieejournal.com/
International Electrical Engineering Journal (IEEJ), ISSN 2367-2376 • 2017
Publication Information
Authors
Abdel-Rahman Sobieh, M. Mandour, Ebtisam M. Saied, M.M. Salama
Keywords
Index Terms— Distributed Generation (DG), Voltage profile,
Power loss, Grey Wolf Optimizer (GWO), Genetic Algorithm
(GA).
Journal
International Electrical Engineering Journal (IEEJ), ISSN 2367-2376
Publisher
Not Available
Volume
Vol. 7 (2017)
Issue
No. 9,
Pages
PP. 501 - 510
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Abstract— Penetration of distributed generation (DG)
units in distribution systems is attracting the researches
nowadays. Number, Capacity and situation of DG units
have a significant role affecting the performance of a
distribution network. This paper presents a novel
technique based on Grey Wolf Optimizer (GWO) which
is applied for optimal number, size and location of DG
units to minimize the active power loss and improve the
voltage pro le of radial distribution networks. GWO will
be compared with Genetic Algorithm (GA) optimization
method to show the superiority and effectiveness of the
proposed technique. In this paper, performance analysis
is carried out considering IEEE 33-bus and 69-bus test
radial distribution systems.
units in distribution systems is attracting the researches
nowadays. Number, Capacity and situation of DG units
have a significant role affecting the performance of a
distribution network. This paper presents a novel
technique based on Grey Wolf Optimizer (GWO) which
is applied for optimal number, size and location of DG
units to minimize the active power loss and improve the
voltage pro le of radial distribution networks. GWO will
be compared with Genetic Algorithm (GA) optimization
method to show the superiority and effectiveness of the
proposed technique. In this paper, performance analysis
is carried out considering IEEE 33-bus and 69-bus test
radial distribution systems.