Time-Localization of Forced Oscillations in Power Systems
In power systems forced oscillations occur, and identification of these oscillations is important for the proper operation of the system. Two of the parameters of interest in analyzing and addressing forced oscillations are the starting and ending points. To obtain estimates of these parameters, this paper proposes a time-localization algorithm based on the geometric analysis of the sample cross-correlation between the measured data and a complex sinusoid at the frequency of the forced oscillation. Results from simulated and measured synchrophasor data demonstrate the algorithm's ability to accurately estimate the starting and ending points of forced oscillations.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1236317
- Report Number(s):
- PNNL-SA-106806; TE1101000
- Resource Relation:
- Conference: Proceedings of the 2015 Power and Energy Society General Meeting, July 26-30, 2015, Denver, Colorado, 1-5
- Country of Publication:
- United States
- Language:
- English
Similar Records
Detection of Periodic Forced Oscillations in Power Systems
Simultaneous Estimation of Electromechanical Modes and Forced Oscillations
Time Series Classification for Locating Forced Oscillation Sources
Journal Article
·
Thu Aug 27 00:00:00 EDT 2015
· IEEE Transactions on Power Systems
·
OSTI ID:1236317
Simultaneous Estimation of Electromechanical Modes and Forced Oscillations
Journal Article
·
Fri Sep 01 00:00:00 EDT 2017
· IEEE Transactions on Power Systems
·
OSTI ID:1236317
Time Series Classification for Locating Forced Oscillation Sources
Journal Article
·
Fri Oct 02 00:00:00 EDT 2020
· IEEE Transactions on Smart Grid
·
OSTI ID:1236317
+1 more