Title :
Self-healing in power systems: an approach using islanding and rate of frequency decline-based load shedding
Author :
You, Haibo ; Vittal, Vijay ; Yang, Zhong
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
2/1/2003 12:00:00 AM
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. In the authors´ approach, the system is adaptively divided into smaller islands with consideration of quick restoration. Then, a 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 :
control system analysis; control system synthesis; frequency response; load shedding; power system control; power system interconnection; power system restoration; catastrophic events; islanding; load shedding; power system self-healing; power system vulnerability analysis; rate of frequency decline; restoration; slow-coherency-based grouping; Communication system control; Control systems; Frequency; Power generation economics; Power system analysis computing; Power system protection; Power system restoration; Power system security; Power systems; System testing;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2002.807111