Title :
A multi-agent trading platform for electricity contract market
Author :
Jia-hai, Yuan ; Shun-kun, Yu ; Zhao-guang, Hu
Author_Institution :
Bus. Sch., North China Electr. Power Univ., Beijing
fDate :
Nov. 29 2005-Dec. 2 2005
Abstract :
An agent-based negotiation platform for power generating and power consuming (purchasing) companies in contract electricity market is presented. An intelligent agent implements the negotiation process by selecting a strategy based on learning algorithm in an interactive manner with the user. Two kinds of learning algorithm - fuzzy logic controller modification of basic genetic algorithm for negotiation strategy optimization, and reinforced learning algorithm for negotiation tactics parameter modification - are provided for the agent. Protocol operation semantics that is flexible and can handle sequential message exchange is used as agent communication mechanism. The paper presents the architecture and negotiation strategy of agents. The software implementation of the platform is discussed in detail
Keywords :
contracts; fuzzy control; genetic algorithms; learning (artificial intelligence); multi-agent systems; power engineering computing; power markets; agent communication mechanism; agent-based negotiation platform; electricity contract market; fuzzy logic controller; genetic algorithm; intelligent agent; learning algorithm; multiagent trading platform; negotiation process; negotiation strategy optimization; negotiation tactics parameter modification; power consuming companies; power generating companies; protocol operation semantics; reinforced learning algorithm; sequential message exchange; Contracts; Economic forecasting; Educational institutions; Electricity supply industry; Evolution (biology); Genetic algorithms; Market research; Multiagent systems; Power generation; Power markets; Contract Negotiation; Electric power system; Multi-agent systems; Power market;
Conference_Titel :
Power Engineering Conference, 2005. IPEC 2005. The 7th International
Conference_Location :
Singapore
Print_ISBN :
981-05-5702-7
DOI :
10.1109/IPEC.2005.207058
