Title :
Development of BCU classifiers for on-line dynamic contingency screening of electric power systems
Author :
Chiang, Hsiao-Dong ; Wang, Cheng-Shan ; Li, Hua
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
5/1/1999 12:00:00 AM
Abstract :
A sequence of BCU classifiers for online dynamic contingency screening is developed and their theoretical basis is provided. The design objective of the BCU classifiers is to ensure that unstable (single-swing or multiswing) contingencies be completely captured and that the number of contingencies needed for further analysis be significantly reduced. An architecture for online dynamic security assessments consisting of the BCU classifiers and an online transient stability (time-domain) simulation program is presented. The effectiveness of the developed BCU classifiers and proposed architecture is evaluated with very promising results using 7120 contingencies on a 50-generator, 145-bus power system and a 202-generator, 1293-bus real power system data
Keywords :
power system analysis computing; power system security; power system transient stability; time-domain analysis; BCU classifiers development; DSA; computer simulation; electric power systems; online dynamic contingency screening; online dynamic security assessment; online transient stability simulation program; time-domain simulation; Artificial intelligence; Power measurement; Power system analysis computing; Power system dynamics; Power system reliability; Power system security; Power system simulation; Power system stability; Power system transients; Velocity measurement;
Journal_Title :
Power Systems, IEEE Transactions on