Algorithm Summary and Evaluation: Automatic Implementation of Ringdown Analysis for Electromechanical Mode Identification from Phasor Measurements

Zhou, Ning ; Huang, Zhenyu ; Tuffner, Francis K. ; Jin, Shuangshuang ; Lin, Jenglung ; Hauer, Matthew L.

关键词: ALGORITHMS;    DETECTION;    EVALUATION;    IMPLEMENTATION;    MONITORS;    OSCILLATIONS;    PERFORMANCE;    POWER SYSTEMS;    RELIABILITY;    STABILITY least squares methods;    power system identification;    power system measurements;    power syst;   

DOI  :  10.2172/1012527
RP-ID  :  PNNL-19172
PID  :  OSTI ID: 1012527
Others  :  Other: 600303000
Others  :  TRN: US201110%%238

学科分类：电力

美国|英语

来源: SciTech Connect

【 摘 要 】

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.