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
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