NDLI: Applications of the genetic algorithm to the unit commitment problem in power generation industry

Content Provider	IEEE Xplore Digital Library
Author	Hong-Tzer Yang Pai-Chuan Yang Ching-Lien Huang
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan (Hong-Tzer Yang; Pai-Chuan Yang; Ching-Lien Huang)
Abstract	This paper proposes an innovative genetic algorithm (GA) approach to solve the thermal unit commitment (UC) problem in power generation industry through a constraint satisfaction technique. Due to a large variety of constraints to be satisfied, the solution space of the UC problem is highly nonconvex, and therefore the UC problem can not be solved efficiently by the standard GA. To effectively deal with the constraints of the problem and greatly reduce the search space of the GA, the minimum up- and down-time constraints are embedded in the binary strings that are coded to represent the on-off states of the generating units. The violations of the other constraints are handled by integrating penalty factors into the cost function. Numerical results on the practical Taiwan Power (Taipower) system of 38 thermal units over a 24-hour period show that the features of easy implementation, fast convergence, and highly near-optimal solution in solving the UC problem can be achieved by the proposed GA approach.<>
Starting Page	267
Ending Page	274
File Size	628589
Page Count	8
File Format	PDF
ISBN	0780324617
DOI	10.1109/FUZZY.1995.409691
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-03-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Power generation Cost function Job shop scheduling Large-scale systems Decision feedback equalizers Dynamic programming Simulated annealing Genetic mutations Genetic engineering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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