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