Automatic Implementation of Prony Analysis for Electromechanical Mode Identification from Phasor Measurements
Small signal stability problems are one of the major threats to grid stability and reliability. Prony analysis has been successfully applied on ringdown data to monitor electromechanical modes of a power system using phasor measurement unit (PMU) data. To facilitate an on-line application of mode estimation, this paper developed a recursive algorithm for implementing Prony analysis and proposed an oscillation detection method to detect ringdown data in real time. By automatically detect ringdown data, the proposed method helps guarantee that Prony analysis is applied properly and timely on the ringdown data. Thus, the mode estimation results can be performed reliably and timely. The proposed method is tested using Monte Carlo simulations based on a 17-machine model and is shown to be able to properly identify the oscillation data for on-line application of Prony analysis.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1000815
- Report Number(s):
- PNNL-SA-69826; 600303000; TRN: US201101%%566
- Resource Relation:
- Conference: 2010 IEEE Power and Energy Society General Meeting, 1-8
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
ALGORITHMS
DETECTION
IMPLEMENTATION
MONITORS
OSCILLATIONS
POWER SYSTEMS
RELIABILITY
STABILITY
least squares methods
power system identification
power system measurements
power system monitoring
power system parameter estimation
power system stability
recursive estimation