Title :
A Fuzzy Model for Bidding Behavior of Participants in Electricity Markets
Author :
Zhi, Guilan ; Watanabe, Shigeyoshi
Author_Institution :
Dept. of Inf. & Commun. Eng., Univ. of Electro-Commun., Chofu
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
In a deregulated power market, participants have to decide their bids under various uncertainties. The decision-making on how to bid can be modeled as a fuzzy inference procedure using fuzzy rules that map environmental information to actions. The tuning of fuzzy database is based on a reinforcement learning method called symbiotic evolution learning method where fuzzy sets and fuzzy rules are learned based on reward/punishment signals. Such a learning ability enables our agents to adapt to different situations without being taught beforehand. Experiments show that our model agrees with cournot game and bertrand game solution in game theory method if agents´ strategies are restricted to quantity competition or price competition
Keywords :
decision making; fuzzy reasoning; fuzzy set theory; game theory; learning (artificial intelligence); power markets; uncertainty handling; bidding behavior; decision-making; electricity market; fuzzy database; fuzzy inference; fuzzy rule; fuzzy sets; game theory; power market deregulation; reinforcement learning; reward-punishment signals; symbiotic evolution learning; Databases; Decision making; Electricity supply industry; Electricity supply industry deregulation; Fuzzy sets; Game theory; Learning; Power markets; Symbiosis; Uncertainty;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.196