Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29752
Title: A statistics-based genetic algorithm for quality improvements of power supplies
Authors: Chan, KY
Chan, KW 
Pong, GTY
Aydin, ME
Fogarty, TC
Ling, SH
Keywords: Evolutionary algorithm
Orthogonal array
Power supplies
Power systems
Issue Date: 2009
Publisher: Inderscience Enterprises Ltd
Source: European journal of industrial engineering, 2009, v. 3, no. 4, p. 468-492 How to cite?
Journal: European Journal of Industrial Engineering 
Abstract: This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated with the characteristics of the stochastic method, evolutionary algorithm and a more systematical statistical method, orthogonal design. It intends to compensate for the built-in randomness of the stochastic method and, at the same time, overcome the limitations of local search methods that are not suitable for handling multi-optima problems. Case studies on the WSCC 9-bus and New England 39-bus systems indicate that the proposed approach outperforms the existing method in terms of robustness in solution and convergence speed while the solution quality that can offer a more stable and cheaper power supply to customers is achieved.
URI: http://hdl.handle.net/10397/29752
ISSN: 1751-5254
DOI: 10.1504/EJIE.2009.027038
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Last Week
0
Last month
0
Citations as of May 22, 2017

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of May 29, 2017

Page view(s)

32
Last Week
4
Last month
Checked on May 28, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.