Algorithm Summary and Evaluation: Automatic Implementation of Ringdown 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 develops a recursive algorithm for implementing Prony analysis and proposed an oscillation detection method to detect ringdown data in real time. By automatically detecting 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. In addition, the proposed method is applied to field measurement data from WECC to show the performance of the proposed algorithm.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1012527
- Report Number(s):
- PNNL-19172; 600303000; TRN: US201110%%238
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
ALGORITHMS
DETECTION
EVALUATION
IMPLEMENTATION
MONITORS
OSCILLATIONS
PERFORMANCE
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