DocumentCode :
3023442
Title :
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
Link To Document :
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