A multi-agent trading platform for electricity contract market

被引：7
|
作者：
Yuan Jia-hai [1 ]
Yu Shun-kun [1 ]
Hu Zhao-guang [1 ]
机构：
[1] N China Elect Power Univ, Beijing 102206, Peoples R China
来源：
IPEC: 2005 International Power Engineering Conference, Vols 1 and 2 | 2005年
关键词：
Contract Negotiation; multi-agent systems; power market; electric power system;
D O I：
10.1109/IPEC.2005.207058
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1024 / 1029
页数：6
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