Title :
The operational strategy of cogeneration plants in a competitive market
Author :
Tsay, Ming-Tong ; Chang, Chuo-Yean ; Gow, Hong-Jey
Author_Institution :
Dept. of Electr. Eng., Cheng Shiu Univ., Kaohsiung, Taiwan
Abstract :
This paper presented an operational strategy for cogeneration plants under a deregulated market. The objective of this paper includes fuel cost, population cost, and electricity wheeling cost, subjective to the use of mixed fuels, operational limits, emissions constraints, and transmission line flow constraints. Enhanced immune algorithm (EIA) was proposed by an improved crossover and mutation mechanism with a competition and auto-adjust scheme to avoid prematurity. Results verify that EIA can offer an efficient way for cogeneration plants to solve the problem of economic dispatch, environmental protection, and electricity wheeling.
Keywords :
cogeneration; environmental management; power generation dispatch; power generation economics; power markets; cogeneration plants; competitive market; deregulated market; economic dispatch; electricity wheeling; electricity wheeling cost; emissions constraints; enhanced immune algorithm; environmental protection; fuel cost; population cost; transmission line flow constraints; Artificial intelligence; Boilers; Cogeneration; Cost function; Dynamic programming; Electricity supply industry deregulation; Environmental economics; Fuel economy; Linear programming; Power generation economics;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1414822