Title :
Strategic Power Infrastructure Defense
Author :
Li, Hao ; Rosenwald, Gary W. ; Jung, Juhwan ; Liu, Chen-Ching
Author_Institution :
AREVA T&D Inc., Bellevue, WA, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
This paper provides a comprehensive state-of-the-art overview on power infrastructure defense systems. A review of the literature on the subjects of critical infrastructures, threats to the power grids, defense system concepts, and the special protection systems is reported. The proposed Strategic Power Infrastructure Defense (SPID) system methodology is a real-time, wide-area, adaptive protection and control system involving the power, communication, and computer infrastructures. The SPID system performs the failure analysis, vulnerability assessment, and adaptive control actions to avoid catastrophic power outages. This paper also includes a new concept for bargaining by multiagents to identify the decision options to reduce the system vulnerability. The concept of a flexible configuration of the wide-area grid is substantiated with an area-partitioning algorithm. A 179-bus system is used to illustrate the area partitioning method that is intended to minimize the total amount of load shedding.
Keywords :
adaptive control; power system control; power system faults; power system protection; 179-bus system; adaptive control; adaptive protection; area-partitioning algorithm; catastrophic power outage; critical infrastructures; failure analysis; intelligent systems; load shedding minimization; multiagent technology; power grid threat; power infrastructure security; real-time protection; special protection system; strategic power infrastructure defense system; system vulnerability; vulnerability assessment; wide-area grid; wide-area protection; Adaptive control; Communication system control; Control systems; National security; Power grids; Power system interconnection; Power system protection; Power system reliability; Power system security; Real time systems; Critical infrastructures; defense systems; intelligent systems; multiagent technology; power infrastructure security;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2005.847260