Title :
A Dynamic Technique for Power System Oscillations Monitoring
Author :
Al-Kandari, A.M. ; El-Naggar, K.M.
Author_Institution :
Coll. of Technol. Studies, Kuwait
Abstract :
This paper presents a novel technique for analyzing the poorly damped low frequency oscillations in power system dynamic swings. The proposed technique is an application of a discrete dynamic estimator based on stochastic estimation theory, which is suitable for estimating parameters on-line. The method uses digital set of measurement for power system dynamic swings to perform the analysis process digitally. The goal is to estimate the amount of damping in the swing curve as well as the oscillation frequency. The problem is formulated and presented as a stochastic dynamic estimation problem. The proposed technique is used to perform the estimation process. The algorithm is tested using different study cases. Results are evaluated and compared to other conventional methods results to show the advantages and disadvantages of the proposed method.
Keywords :
estimation theory; oscillations; power system measurement; discrete dynamic estimator; dynamic swings; low frequency oscillations; power system oscillations monitoring; stochastic estimation theory; Estimation theory; Frequency estimation; Monitoring; Parameter estimation; Performance evaluation; Power measurement; Power system analysis computing; Power system dynamics; Power systems; Stochastic processes; Dynamic Oscillations; Estimation; damping constants;
Conference_Titel :
Power Engineering, 2007 Large Engineering Systems Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-1583-0
Electronic_ISBN :
978-1-4244-1583-0
DOI :
10.1109/LESCPE.2007.4437346