DocumentCode :
2427755
Title :
PSO algorithm applications in optimal demand decision
Author :
Chen, Jung-Chin ; Hwang, Jong-Ching ; Pan, Jeng-Shyang ; Huang, Yi-Chao
Author_Institution :
Dept. of Electr. Eng., Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
fYear :
2009
fDate :
17-20 May 2009
Firstpage :
2561
Lastpage :
2565
Abstract :
The aim of this research is to select the optimal demand contract for the TOU rate customer through PSO algorithm and to drop the electricity cost for the Taiwanese industry. PSO is an alternative population-based evolutionary computation technique, also it is has more fast convergence than GA to select optimal contract capacity for TOU rate customer. Results indicated that the PSO has been highly willing to Taiwanese industry in the optimal demand contract decision. Also this research aims at measuring the benefit on TOU rate and to provide decision-makers and managers with useful load management strategies as reference.
Keywords :
evolutionary computation; load management; particle swarm optimisation; electricity cost; evolutionary computation; load management; optimal demand decision; particle swarm optimisation; time of user rate; Algorithm design and analysis; Contracts; Cost function; Energy consumption; Engineering management; Failure analysis; Load management; Particle swarm optimization; Power system management; Technology management; Optimal demand contract; Particle swarm optimization (PSO); Time of Use (TOU) Rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3556-2
Electronic_ISBN :
978-1-4244-3557-9
Type :
conf
DOI :
10.1109/IPEMC.2009.5157836
Filename :
5157836
Link To Document :
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