Title :
Slow Coherency Based Cutset Determination Algorithm for Large Power Systems
Author :
Xu, Guangyue ; Vittal, Vijay
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
fDate :
5/1/2010 12:00:00 AM
Abstract :
This paper provides an integrated algorithm to identify a cutset for a large power system for the application of a slow coherency based controlled islanding scheme. Controlled islanding is employed as a corrective measure of last resort to prevent cascading outages caused by large disturbances. The large scale power system is represented as a graph and a simplification algorithm is used to reduce the complexity of the system. Generators belonging to the same slowly coherent group are collapsed into a dummy node, and a graph partition library is used to split the graph into a given number of parts. Some extra islands formed by the partition library are merged into their adjacent large islands and the original cutset of the actual power system is recovered from the highly simplified graph. A software package was developed to test the efficiency of the algorithm, and dynamic simulations were run on the WECC system to verify the effectiveness of the cutset obtained. The WECC system has more than 15 000 buses and 2300 generators. Detailed steps to develop an islanding strategy for a specified contingency for a large system are described in this paper.
Keywords :
distributed power generation; graph theory; power system faults; power system stability; WECC system; cascading outages; controlled islanding; corrective measure; cutset determination; dummy node; graph partition library; slow coherency; Controlled islanding; cutset identification; dynamic simulation in the WECC system; slow coherency;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2009.2032421