Dissertation
SYNCHROPHASOR PROCESSING TOOLS FOR OSCILLATION MONITORING IN POWER SYSTEMS
Washington State University
Doctor of Philosophy (PhD), Washington State University
01/2021
DOI:
https://doi.org/10.7273/000006435
Handle:
https://hdl.handle.net/2376/118908
Abstract
Power system oscillations have been a serious concern for operators for decades. Oscillations with low or negative damping can lead to catastrophic blackouts or islanding of interconnected power systems. Therefore, monitoring and analysis of oscillations can help enhance the operational reliability of the power system. With the increased availability of Phasor Measurement Units (PMUs) in power systems, measurement-based modal analysis methods have received a lot of attention in recent years. Although there is extensive literature on the different types of these methods, there exist some conditions under which these modal analysis techniques might face serious difficulties in the analysis. In this dissertation, three of these conditions are investigated and proper solutions are proposed for each of them. In the first part, a condition is investigated when the appearance of unexpected forced oscillations can abrupt the monitoring of system modal characteristics. In this work, a method is proposed to separate the ambient noise and the forced oscillation when the system response contains both. The proposed method is established on the Covariance-based Stochastic Subspace Identification method (SSI-Cov) modal estimation technique. First, a technique for the reconstruction of signals from SSI-Cov outputs is proposed. Afterward, using the proposed reconstruction method along with decoupling transformation from linear systems theories, a method is proposed to separately reconstruct the forced oscillation and ambient noise portions of the system response. The second part of this work aims to propose a novel method for the reconstruction of missing parts of PMUs’ ringdown data. The foundation of the proposed method is the extraction of modal information from available flawless PMUs, then utilize this information for the reconstruction of PMU signals with missing parts. The third part of this work designated to the recognition of physical modes among all mode estimates from a time-domain modal estimation algorithm. In this work, two universal Physical Mode Detection (PMD) methods are proposed. In the first method, physical modes are obtained by analyzing the frequency and mode shape of each estimate along with frequency-domain information of selected measurements. The second proposed method finds the physical modes based on the consistency of estimated modal properties.
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Details
- Title
- SYNCHROPHASOR PROCESSING TOOLS FOR OSCILLATION MONITORING IN POWER SYSTEMS
- Creators
- Mohammadreza Maddipour Farrokhifard
- Contributors
- Mani V Venkatasubramanian (Advisor)Anjan Bose (Committee Member)Krishnamoorthy Sivakumar (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Publisher
- Washington State University
- Number of pages
- 169
- Identifiers
- 99900592259501842
- Language
- English
- Resource Type
- Dissertation