Agent-based negotiation platform for contract electricity market

Authors:
Xiong Minpeng;Yuan Jiahai;Zhao Changhong
Affiliations:
Business School, North China Electric Power University, Dewai, Beijing, China;Business School, North China Electric Power University, Dewai, Beijing, China;Business School, North China Electric Power University, Dewai, Beijing, China
Venue:
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
Year:
2005

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Abstract

An agent-based platform for contract negotiation in 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 parameter modification of negotiation tactics--are provided for the agent. Protocol Operation Semantics that meet the requirement of sequential message exchange flexibly is used as agent communication mechanism. The paper presents the architecture of the agents and details with its software implementations.