Title :
Combined Bidding Behavior Analysis of Power Suppliers Based on Multi-Agent Switching Learning Automata in Electricity Market
Author :
Dong, Xiuming ; Zhou, Xiaoyang
Author_Institution :
Sch. of Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
Investigate what combined bidding behavior of power supplier will bring to the electricity market after the market has reached equilibrium. A bounded rational power supplier is assumed to have two strategy choices: 1) maintaining equilibrium strategy 2) adopting strategy Price-Deviation-Adjust (PD-adjust) learning or Cournot adjust gives. The switching hierarchical learning automaton is introduced to describe the proposed combined bidding behavior. Simulation results show some interesting phenomena and indicate different combined bidding behaviors may bring different predictions to the market.
Keywords :
game theory; learning automata; multi-agent systems; power markets; bidding behavior analysis; electricity market; multi-agent system; power suppliers; switching learning automata; Biological system modeling; Electricity supply industry; Games; Learning automata; Load modeling; Mathematical model; Switches; bounded rationality; combined bidding behavior; game learning theory; multi-agent learning; switching learning automata;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.160
