Title :
Self-Healing in Power Systems: An Approach Using Islanding and Rate of Frequency Decline Based Load Shedding
Author :
You, Haidong ; Vittal, Vijay ; Yang, Zengli
Author_Institution :
Iowa State University; GE Power Systems Control
Abstract :
This paper provides a self-healing strategy to deal with catastrophic events when power system vulnerability analysis indicates that the system is approaching an extreme emergency state. The system is adaptively divided into smaller islands with consideration of quick restoration. Then an adaptive load shedding scheme based on the rate of frequency decline is applied. The proposed scheme is tested on a 179-bus, 20-generator sample system and shows very good performance.
Keywords :
Frequency; Hybrid power systems; Power system control; Power system faults; Power system planning; Power system restoration; Power system simulation; Power systems; Power transformers; Testing; Slow coherency based grouping; islanding; load shedding; self-healing;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2002.4311916