DocumentCode :
2517442
Title :
New combination strategy of genetic and tabu algorithm an economic load dispatching case study
Author :
Kai, Su ; Qing, Li ; Jizhen, Liu ; Yuguang, Niu ; Ruifeng, Shi ; Yang, Bai
Author_Institution :
Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
1991
Lastpage :
1995
Abstract :
An improved genetic-tabu search algorithm is proposed in this paper, which combines large scale search ability of genetic algorithm (GA) and anti-premature ability of tabu search (TS). A long term memory list is designed to record elite solutions searched by GA operation (GA-LTM), and those solutions are induced to each crossover procedure, and drive offspring close to the optimum value. After certain iterations of GA operation, local optimum solutions in solution space are recorded in the GA-LTM. Then, GA operations stop, and solutions in GA-LTM are adopted as start points of TS algorithm. For each solution in GA-LTM, TS search procedure initializes with a trace-back strategy. If TS cannot find better solutions after several steps, the best solution found in previous steps would be recorded as best solution for the start point. After TS search for solutions in GA-LTM accomplish, a comparison is made among those TS found solutions, and the best one is recognized as the optimum solution. At end of this paper, a simulation study on 5 thermal units is done. Validity of the proposed algorithm is approved.
Keywords :
genetic algorithms; load dispatching; search problems; antipremature ability; combination strategy; crossover procedure; economic load dispatching case study; genetic algorithm; local optimum solutions; long term memory list; search procedure; tabu algorithm; trace-back strategy; Dispatching; Economics; Fuels; Genetic algorithms; Load modeling; Power generation; Genetic algorithm; Tabu search algorithm; economic load dispatching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968528
Filename :
5968528
Link To Document :
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