DocumentCode
3084470
Title
Application of double matrix hybrid coded genetic algorithm in unit commitment
Author
Chang Wen-ping ; Luo Xian-Jue
Author_Institution
Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear
2008
fDate
10-13 Dec. 2008
Firstpage
1
Lastpage
6
Abstract
A double matrix hybrid coded genetic algorithm (DMHGA) is presented to solve the unit commitment (UC). The DMHGA chromosome consists of three-dimensional matrix representing the UC schedule, it effectively uses the binary-coded genetic algorithm to solve the unit commitment up/down problem and the real-coded genetic algorithm based on the equal incremental-cost criterion to solve the power economic dispatch problem, this modification helps to explore the search space very effectively, It generates better solutions than the other methods. Problem formulation, representation and the simulation results with systems of up to 10 units and 24-h scheduling horizon are presented. The results show that the DMHGA has strong ability in global search and efficient.
Keywords
genetic algorithms; power generation dispatch; power generation economics; power generation scheduling; binary-coded genetic algorithm; double matrix hybrid coded genetic algorithm; equal incremental-cost criterion; power economic dispatch; three-dimensional matrix; unit commitment; Artificial neural networks; Costs; Expert systems; Genetic algorithms; Power generation; Power generation economics; Power markets; Power system economics; Power systems; Space exploration; Unit commitment; double matrix hybrid coded; equal incremental-cost criterion; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution, 2008. CICED 2008. China International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-3373-5
Electronic_ISBN
978-1-4244-3372-8
Type
conf
DOI
10.1109/CICED.2008.5211826
Filename
5211826
Link To Document