DocumentCode
2191170
Title
Strategic power infrastructure defense (SPID)
Author
Chen-Ching Liu
Author_Institution
Adv. Power Technol. Center, Washington Univ., Seattle, WA, USA
fYear
2004
fDate
6-10 June 2004
Abstract
Summary form only given. An advanced system called, "strategic power infrastructure defense (SPID) system," was developed by the Advanced Power Technologies (APT) Consortium consisting of the University of Washington, Arizona State University, Iowa State University and Virginia Tech. By incorporating multi-agent system technologies, the SPID system is able to assess power system vulnerability, monitor hidden failures of protective devices, and provide adaptive control actions to prevent catastrophic failures and cascading sequences of events. The SPID program was sponsored by EPRI and the U.S. Department of Defense. In this session, the panelist will summarize the SPID methodology and the multi-agent system technologies that are critical for the implementation of the SPID system. The software agents in the SPID system are organized in a multi-layer structure to facilitate collaboration among the agents. The agents communicate through a protocol called FIPA. SPID has the ability to adapt to changes in the power infrastructure environment through the embedded machine learning capability. Simulation examples of the multi-agent system is provided.
Keywords
learning (artificial intelligence); multi-agent systems; power engineering computing; power system protection; power system security; adaptive control; machine learning capability; multiagent system; power infrastructure; protective device; strategic power infrastructure defense; Adaptive control; Collaborative software; Condition monitoring; Multiagent systems; Power system control; Power system faults; Power system protection; Power systems; Protocols; Software agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-8465-2
Type
conf
DOI
10.1109/PES.2004.1372735
Filename
1372735
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