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Based on a quantum-inspired evolutionary algorithm for unit commitment, this paper proposed ways to advance the efficiency and robustness of the algorithm so that its capacity for application in large-scale unit commitment problems can be significantly enhanced. The paper develops an advanced quantum-inspired evolutionary unit commitment algorithm by developing a new initialization method based on unit priority list and a special Q-bit expression for ensuring diversity in the initial search area for improving the efficiency of solution searching. Different techniques such as multi-observation, single-search, and group-search are also proposed for incorporation in the advanced algorithm. The advanced algorithm is tested and compared with the earlier quantum-inspired evolutionary algorithm and a number of known methods through its applications to test systems with up to 100 generator units for a 24-h scheduling horizon.
Published in:
Power Systems, IEEE Transactions on
(Volume:26
,
Issue:
2
)
Date of Publication: May 2011
- Page(s):
- 847 - 854
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 11961070
- Digital Object Identifier :
- 10.1109/TPWRS.2010.2059716
- Product Type:
- Journals & Magazines
- Date of Publication :
- 26 August 2010
- Date of Current Version :
- 21 April 2011
- Issue Date :
- May 2011
- Sponsored by :
- IEEE Power & Energy Society
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