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Abstract
This study addresses the application of an enhanced binary particle swarm optimization algorithm to generate optimal switching topology along radial distribution networks. The objective function is established with a weighting factor to offer flexibility consistent with the user decision. The active power loss minimization, voltage profile improvement, and enhancements of fast voltage stability indices are approached. Various S- and V-shaped transfer functions are attempted and analyzed to guarantee good performance of the proposed approach. The proposed method is applied to two well-known systems: the 33- and the 118-node radial distribution networks, to validate its significance and applicability. The realized results are compared to those reported for other recent heuristic competing techniques in the literature. The comparisons and subsequent discussions prove that the proposed methodology is able to generate high-quality solutions to the optimal switching schemes.
Additional information
Notes on contributors
Ahmed M. Othman
Ahmed M. Othman is an assistant professor in the Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt. He was awarded a Ph.D. in 2011 from Aalto (Helsinki University of Technology), Finland. Dr. Ahmed has published many articles in refereed international journals and conferences. He was awarded distinction in international publishing from Zagazig University in 2013 and 2014. The research activities of Dr. Othman are concerned with the application of artificial intelligence and other heuristic optimization techniques to power systems.
Attia A. El-Fergany
Attia A. El-Fergany was awarded a BSc degree (1994), MSc degree (1998), and PhD degree (2001), all in Electrical Power Engineering from Zagazig University in Zagazig, Egypt. He has been with the University of Zagazig since 1998, and is presently is an associate professor of Electrical Power Engineering. Dr. El-Fergany has authored or co-authored numerous articles published in international refereed journals and conferences, and has been given many awards for distinction in international research publishing from Zagazig University (2012–2014). In addition, he has delivered numerous short courses to graduated electrical engineers worldwide. He has participated in many field electrical technical studies. He is a Senior Member of the IEEE, a member of the PES and the Education Society, and a member of the IET. His research is concerned with the use of intelligent techniques to optimize the operation, planning, and protection of the electric power systems.
Almoataz Y. Abdelaziz
Almoataz Y. Abdelaziz was awarded B.Sc. and M.Sc. degrees in Electrical Engineering from Ain Shams University, Cairo, Egypt, in 1985 and 1990, respectively, and a Ph.D. in Electrical Engineering according to the channel system between Ain Shams University, Egypt, and Brunel University, U.K., in 1996. He is currently a professor of electrical power engineering at Ain Shams University. Dr. Abdelaziz is the chair of IEEE Education Society chapter in Egypt, a senior editor of Ain Shams Engineering Journal, editor of Electric Power Components & Systems Journal, and a member of the editorial board and a reviewer of technical papers in several international journals and conferences. He is also a member of IET and the Egyptian sub-committees of IEC and CIGRE. He has been awarded many prizes for distinction in researches and for international publishing from Ain Shams University. He has authored or co-authored more than 215 refereed journal and conference papers in his research areas, which include the application of artificial intelligence and evolutionary and heuristic optimization techniques to power system operation, planning, and control.