DocumentCode
3487806
Title
Optimal operational planning for cogeneration system using particle swarm optimization
Author
Tsukada, Tatsuya ; Tamura, Takuya ; Kitagawa, Shinji ; Fukuyama, Yoshikazu
Author_Institution
Frontier Res. Inst., Tokyo Gas Co. Ltd., Yokohama, Japan
fYear
2003
fDate
24-26 April 2003
Firstpage
138
Lastpage
143
Abstract
This paper proposes optimal operational planning for a cogeneration system (CGS) using particle swarm optimization (PSO). CGS is usually connected to various facilities such as refrigerators, reservoirs, and cooling towers. In order to generate optimal operational planning for CGS, startup and shutdown status, and input values of the facilities for each control interval should be determined. The facilities may have nonlinear input-output characteristics. Therefore, the problem can be formulated as a mixed-integer nonlinear optimization problem (MINLP). PSO can be easily expanded to treat MINLP. The simple expansion of PSO for the optimal generation system operational planning problem is proposed and the proposed method is applied to typical CGS planning problems with promising results.
Keywords
cogeneration; evolutionary computation; facilities planning; integer programming; load forecasting; nonlinear programming; power system analysis computing; CGS; MINLP; PSO; cogeneration system; cooling towers; facilities; input values; mixed-integer nonlinear optimization problem; nonlinear input-output characteristics; optimal operational planning; particle swarm optimization; refrigerators; reservoirs; shutdown status; startup status; Carbon capture and storage; Cogeneration; Content addressable storage; Cooling; Fuels; Optimal control; Particle swarm optimization; Poles and towers; Refrigerators; Reservoirs;
fLanguage
English
Publisher
ieee
Conference_Titel
Swarm Intelligence Symposium, 2003. SIS '03. Proceedings of the 2003 IEEE
Print_ISBN
0-7803-7914-4
Type
conf
DOI
10.1109/SIS.2003.1202259
Filename
1202259
Link To Document