DocumentCode :
420408
Title :
The study of congestion influence on bidding strategy
Author :
Ming-Tong Tsay ; Gow, Hong-Jey ; Chen, Sung-Ling
Author_Institution :
Dept. of Electr. Eng., Cheng Shiu Univ., Kaohsiung, Taiwan
Volume :
1
fYear :
2004
fDate :
5-8 April 2004
Firstpage :
252
Abstract :
In this paper, the bidding strategy problem is modeled as an optimization problem and the congestion´s influence is discussed in the bidding process. An immune algorithm (IA) is presented to solve the bidding strategy problem. IA is based on the operation of human immune system. The immune system is a basic bio-defense system against viruses and disease-causing organisms. This complex defense mechanism combines genes to deal with the inbreaking antigens. Using this heuristic algorithm, IA has advantages and some characteristics to show a better performance than many other algorithms. Numerical analysis will clarify congestion´s influence on price and bidding strategy.
Keywords :
optimisation; power markets; pricing; basic biodefense system; bidding strategy; complex defense mechanism; disease-causing organisms; heuristic algorithm; human immune system; immune algorithm; inbreaking antigens; optimization problem; viruses; Costs; Electricity supply industry deregulation; Heuristic algorithms; Humans; Immune system; Numerical analysis; Organisms; Power markets; Power system security; Viruses (medical);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8237-4
Type :
conf
DOI :
10.1109/DRPT.2004.1338502
Filename :
1338502
Link To Document :
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