DocumentCode :
293349
Title :
Applications of the genetic algorithm to the unit commitment problem in power generation industry
Author :
Yang, Hong-Tzer ; Yang, Pai-Chuan ; Huang, Ching-Lien
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
1
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
267
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
Keywords :
constraint handling; genetic algorithms; load dispatching; load distribution; thermal power stations; Taipower; Taiwan Power; constraint satisfaction technique; convergence; genetic algorithm; highly nonconvex solution space; minimum down-time constraints; minimum up-time constraints; near-optimal solution; on-off states; penalty factors; power generation industry; search space; thermal unit commitment problem; Cost function; Decision feedback equalizers; Dynamic programming; Genetic algorithms; Genetic engineering; Genetic mutations; Job shop scheduling; Large-scale systems; Power generation; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409691
Filename :
409691
Link To Document :
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