Optimal operational planning for cogeneration system using particle swarm optimization

被引：15
|
作者：
Tsukada, T [1 ]
Tamura, T [1 ]
Kitagawa, S [1 ]
Fukuyama, Y [1 ]
机构：
[1] Tokyo Gas Co Ltd, Frontier Res Inst, Tsurumi Ku, Yokohama, Kanagawa 2300045, Japan
来源：
PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03) | 2003年
关键词：
D O I：
10.1109/SIS.2003.1202259
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes optimal operational planning for 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.
引用
收藏
页码：138 / 143
页数：6
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