Multi-agent Based Power Grid Data Integration and Sharing Platform

Author

Wu Kehe ; Duan Cheng ; Shi Qianhui

Author_Institution

Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Beijing, China

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

184

Lastpage

188

Abstract

In this paper, the status of application system and data integration requirement in power enterprises are discussed firstly, followed by the analysis of several issues in the use of power grid data. To solve these issues, we present a model of power grid data integration and sharing platform utilizing multi-agent based software bus technology, data adapter technology and JMS(Java Message Service) in the light of a unified power enterprise data planning. Besides, we construct the TCA-oriented agent model according to the idea of TCA(Task Control Architecture) and put forward the agent coordination and communication mode combined with KQML (Knowledge Query Manipulation Language) and SOAP (Simple Object Access Protocol), which provide a solution for the power enterprises to integrate and share their information in a unified platform.

Keywords

Java; access protocols; data acquisition; multi-agent systems; power grids; query languages; task analysis; Java message service; TCA-oriented agent model; data adapter technology; information sharing; knowledge query manipulation language; power enterprises; power grid data integration; simple object access protocol; software bus technology; task control architecture; Application software; Artificial intelligence; Computational intelligence; Computer science; Educational institutions; Forward contracts; Power grids; Power systems; Simple object access protocol; Technology planning; Multi-Agent; Power Grid Data; SoftWare Bus;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.219

Filename

5376390