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Through a constraint handling technique, this paper proposes a parallel genetic algorithm (GA) approach to solving the thermal unit commitment (UC) problem. The developed algorithm is implemented on an eight-processor transputer network, processors of which are arranged in master-slave and dual-direction ring structures, respectively. The proposed approach has been tested on a 38-unit thermal power system over a 24-hour period. Speed-up and efficiency for each topology with different number of processor are compared to those of the sequential GA approach. The proposed topology of dual-direction ring is shown to be well amenable to parallel implementation of the GA for the UC problem
Published in:
Power Systems, IEEE Transactions on
(Volume:12
,
Issue:
2
)
Date of Publication: May 1997
- Page(s):
- 661 - 668
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 5581171
- Digital Object Identifier :
- 10.1109/59.589638
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1997
- Sponsored by :
- IEEE Power & Energy Society
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