DocumentCode :
1581320
Title :
Fast technique for unit commitment by absolute stochastic simulated annealing
Author :
Senjyu, Tomonobu ; Saber, Ahmed Yousuf ; Urasaki, Naomitsu ; Funabashi, Toshihisa
Author_Institution :
Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa, Japan
fYear :
2005
Firstpage :
1293
Abstract :
This paper presents a new approach for unit commitment problem using stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing method, a better solution is accepted deterministically, but other solutions are accepted with temperature dependent probability. That may lead to the local optimization. But in this paper, all the solutions, both better and worse, are associated with acceptance probabilities.
Keywords :
power generation dispatch; power generation scheduling; simulated annealing; stochastic processes; absolute stochastic simulated annealing; local optimization; temperature dependent probability; unit commitment; Costs; Electronic mail; Genetic algorithms; Genetic engineering; Large-scale systems; Power engineering and energy; Power generation; Power system simulation; Simulated annealing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
Type :
conf
DOI :
10.1109/PES.2005.1489539
Filename :
1489539
Link To Document :
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