NDLI: Comparative Application of Differential Evolution and Particle Swarm Techniques to Reactive Power and Voltage Control

Content Provider	IEEE Xplore Digital Library
Author	Bakare, G.A. Krost, G. Venayagamoorthy, G.K. Aliyu, U.O.
Copyright Year	2007
Description	Author affiliation: Abubakar Tafawa Balewa Univ., Bauchi (Bakare, G.A.)
Abstract	This paper presents the comparative application of two metaheuristic approaches: differential evolution (DE) and particle swarm optimization (PSO) to the solution of the reactive power and voltage control problem. Efficient distribution of reactive power in an electric network leads to minimization of the system losses and improvement of the system voltage profile. It can be achieved by varying the excitation of generators or the on-load tap changer positions of transformers as well as by switching of discrete portions of inductors or capacitors etc. This constitutes a typical mixed integer non-linear optimization problem for the solution of which metaheuristic techniques have proven well suited in principle. The feasibility, effectiveness and generic nature of both DE and PSO approaches investigated are exemplarily demonstrated on the Nigerian grid system and the New England power system. Comparisons were made between the two approaches in terms of the solution quality and convergence characteristics. The simulation results revealed that both approaches were able to remove the voltage limit violations, but PSO procured in some instances slightly higher power loss reduction as compared with DE; on the other hand DE required a lower number of function evaluations as compared with PSO. Consideration of computational effort is relevant for potential real time on line application.
Starting Page	1
Ending Page	6
File Size	505822
Page Count	6
File Format	PDF
ISBN	9789860126075
DOI	10.1109/ISAP.2007.4441652
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ISAP
Subject Keyword	Computational modeling Capacitors Reactive power / voltage control Particle swarm optimization Voltage control On load tap changers Inductors Reactive power control Reactive power Metaheuristic Power system simulation Differential evolution Transformers
Content Type	Text
Resource Type	Article

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