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

fYear

2005

fDate

Nov. 29 2005-Dec. 2 2005

Firstpage

1024

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2005. IPEC 2005. The 7th International

Conference_Location

Singapore

Print_ISBN

981-05-5702-7

Type

conf

DOI

10.1109/IPEC.2005.207058

Filename

1627347