Locating voltage collapse points using evolutionary computation techniques

Goh, S. H., Dong, Z. Y. and Saha, T. K. (2007). Locating voltage collapse points using evolutionary computation techniques. In: K. C.Tan, Evolutionary Computation 2007 (CEC 2007). IEEE Congress on Evolutionary Computation 2007 (CEC 2007), Singapore, (2923-2930). 25-28 September 2007. doi:10.1109/CEC.2007.4424843

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Author Goh, S. H.
Dong, Z. Y.
Saha, T. K.
Title of paper Locating voltage collapse points using evolutionary computation techniques
Conference name IEEE Congress on Evolutionary Computation 2007 (CEC 2007)
Conference location Singapore
Conference dates 25-28 September 2007
Proceedings title Evolutionary Computation 2007 (CEC 2007)
Journal name 2007 Ieee Congress On Evolutionary Computation, Vols 1-10, Proceedings
Place of Publication Piscataway, NJ, U.S.A.
Publisher IEEE - Institute of Electrical Electronics Engineers Inc.
Publication Year 2007
Sub-type Fully published paper
DOI 10.1109/CEC.2007.4424843
ISBN 978-1-4244-1339-3
Editor K. C.Tan
Start page 2923
End page 2930
Total pages 8
Collection year 2008
Language eng
Abstract/Summary In recent years, evolutionary computation (EC) techniques have proven to be an useful alternative approach for solving many highly nonlinear power system planning and operation problems. The objective of this paper is to investigate mathematically-complex voltage collapse problems using EC techniques, in particular the particle swarm optimization (PSO) and differential evolution (DE) algorithms. It demonstrates the exceptional searching capabilities of both the PSO and DE algorithms to locate voltage collapse point solutions (also widely known as nose points or critical points), which are at least comparable to those obtained using the well-known continuation power flow (CPF) technique. The feasibility and practicality of this approach has been tested on a 3-machine 9-bus, the IEEE 118-bus and the IEEE 300-bus power systems.
Subjects E1
290901 Electrical Engineering
660301 Electricity transmission
Keyword Evolutionary computation (EC)
Nonlinear power system planning
Mathematically-complex voltage collapse problems
Voltage collapse point
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Thu, 24 Apr 2008, 09:35:57 EST by Donna Clark on behalf of Faculty Of Engineering, Architecture & Info Tech