Buse / Wu IP Network-based Multi-agent Systems for Industrial Automation

Information Management, Condition Monitoring and Control of Power Systems
2007
ISBN: 978-1-84628-647-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 187 Seiten, eBook

Reihe: Power Systems

This book details the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring, and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents. Mobile agents are applied to the retrieval and analysis of substation data and to remote operator intervention.

Zielgruppe

Research

Autoren/Hrsg.

Buse, David P.

Wu, Q.H.

Inhaltsverzeichnis

Introduction Agents, Multi-Agent Systems and Mobile Code An Agent-based Architecture for Power System Automation Static Components of Architecture Applications of Mobile Agents Multi-agent Based Substation Information Management System Evaluation and Analysis

Über Autor(innen)

Dr David Buse obtained a first-class BSc degree in Computer Science in 2000, and a PhD degree in Electrical Engineering in 2005 from the University of Liverpool, UK. He is a Member of IEEE. His research interests include mobile agents, multi-agent systems, and their industrial applications.

Prof. Henry Wu is the Chair of Electrical Engineering in the Department of Electrical Engineering and Electronics at the University of Liverpool, UK. He is also Director of the National Instruments e-Automation Laboratory at the University of Liverpool, in which research is focused on network-based industrial automation. He graduated from Huazhong University of Science and Technology (HUST), China, in 1978 and obtained an MSc (Eng) degree in Electrical Engineering from HUST in 1981. Prof. Wu is a Chartered Engineer, a Fellow of the IEE and a Senior Member of the IEEE. His research interests include systems analysis and control, computational intelligence, biologically-inspired modeling and computation, information processing and management, distributed complex systems, multi-agent systems, and their applications for power system operation and control.