Optimal design of a regenerative dynamic dynamometer using genetic algorithms

Weng, L. F. L. and Dong, Z. Y. (2003). Optimal design of a regenerative dynamic dynamometer using genetic algorithms. In: R. Sarker, R. Reynolds and H. Abbass, 2003 Congress on Evolutionary Computation. 2003 Congress on Evolutionary Computation (CEC '03), Canberra, Australia, (2665-2672). 8-12 December 2003. doi:10.1109/CEC.2003.1299425


Author Weng, L. F. L.
Dong, Z. Y.
Title of paper Optimal design of a regenerative dynamic dynamometer using genetic algorithms
Conference name 2003 Congress on Evolutionary Computation (CEC '03)
Conference location Canberra, Australia
Conference dates 8-12 December 2003
Proceedings title 2003 Congress on Evolutionary Computation
Journal name 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
Place of Publication Piscataway, NJ, U.S.A.
Publisher The Institute of Electrical and Electronics Engineers
Publication Year 2003
Sub-type Fully published paper
DOI 10.1109/CEC.2003.1299425
ISBN 0-7803-7804-0
Editor R. Sarker
R. Reynolds
H. Abbass
Volume 4
Start page 2665
End page 2672
Total pages 8
Collection year 2003
Language eng
Abstract/Summary This paper presents an approach for optimal design of a fully regenerative dynamic dynamometer using genetic algorithms. The proposed dynamometer system includes an energy storage mechanism to adaptively absorb the energy variations following the dynamometer transients. This allows the minimum power electronics requirement at the mains power supply grid to compensate for the losses. The overall dynamometer system is a dynamic complex system and design of the system is a multi-objective problem, which requires advanced optimisation techniques such as genetic algorithms. The case study of designing and simulation of the dynamometer system indicates that the genetic algorithm based approach is able to locate a best available solution in view of system performance and computational costs.
Subjects E1
290901 Electrical Engineering
660304 Energy systems analysis
Keyword Regenerative dynamic dynamometer
Optimal design
Genetic algorithms
Q-Index Code E1

 
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Created: Fri, 24 Aug 2007, 12:27:50 EST