DocumentCode :
1796034
Title :
Optimal solution of reliability constrained unit commitment using hybrid genetic algorithm-priority list method
Author :
Sarjiya ; Mulyawan, Arief Budi ; Sudiarso, Andi
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Gadjah Mada Univ., Yogyakarta, Indonesia
fYear :
2014
fDate :
7-8 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.
Keywords :
genetic algorithms; iterative methods; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; probability; UC problem; economic load dispatch; hybrid genetic algorithm-priority list method; lambda iteration; load probability index; reliability constrained unit commitment; spinning reserve evaluation; Genetic algorithms; Indexes; Power system reliability; Reliability; Sociology; Spinning; Statistics; Unit commitment; genetic algorithm; loss of load probability; priority list;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electrical Engineering (ICITEE), 2014 6th International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4799-5302-8
Type :
conf
DOI :
10.1109/ICITEED.2014.7007946
Filename :
7007946
Link To Document :
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