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ABSTRACT: Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is presented which displays these results. Using the tools developed in this paper the dominant modes and their associated regions of influence in a power system can be determined directly from measurement data.
Power and Energy Society General Meeting, 2010 IEEE; 08/2010
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ABSTRACT: Two challenges in the realization of the smart grid technology are the ability to visualize the deluge of expected data streams for global situational awareness; as well as the ability to detect disruptive and classify such events from spatially-distributed high-speed power system frequency measurements. This paper presents an interactive visualization model for high speed power system frequency data streams that displays both local and global views of the data streams for decision making process. It also presents a K-Median approach for clustering and identifying disruptive events in spatially distributed data streams. The results from experimental evaluation on a variety of datasets show that K-Median achieve better performance and empowers analysts with the ability to make sense of a deluge of frequency measurements in a real-time situation.
Data Mining Workshops, 2009. ICDMW '09. IEEE International Conference on; 01/2010
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ABSTRACT: Frequency is an important parameter in understanding the operation of power systems. Dynamic visualization of frequency measurements provides a quick and direct way to view the state of the system. Tools are being developed to help observe frequency behavior from both simulations and real-time field measurements. Frequency replay from simulation data provides some insights of how the frequency electromechanical waves propagate through the system in response to major events. Several examples are given to show some characteristics of the wave propagation. Visualization from frequency disturbance recorder (FDR) measurements provides a real-time view of the system's status.
Power Engineering Society General Meeting, 2007. IEEE; 07/2007
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ABSTRACT: Changes in power system operating conditions cause dynamic changes in angle and frequency. These changes propagate through the system as disturbances in frequency as previously studied (J.S. Thorp, et al., 1998), (L. Huang, et al., 2001). The disturbances in system frequency travel with finite speed across the system area (M. Parashar, et al., 2004). Thus a sudden loss of generation or load in one area would be seen as a frequency disturbance in other areas of the power system. Through use of wide-area frequency measurements these traveling frequency disturbances can be observed and recorded to be used for real time system analysis. Currently the majority of wide area measurements are taken by PMUs and similar devices at the transmission level. This paper focuses on the effects of performing these measurements at the distribution level and how this additional layer of the system can affect the measurements. It is important to note that the relevant effects of machine inertia are not considered in this study. Rather this paper focuses on system/line impedance in the determination of electromechanical wave propagation speed
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES; 12/2006
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ABSTRACT: Previous work has shown that the study of the electromechanical wave signature of a power system perturbation, such as a generator trip, can lead to an understanding of how to approximate the origin of the perturbation (R.M. Gardner, et al., 2006). In this paper, a brief synopsis of FNET is presented along with an analysis of generator tripping events. The analysis is comprised of several non-parametric event location methods and resulting observations. The eventual goal of this research is to formulate a robust event location algorithm that can be used online and in real-time to locate with sufficient accuracy the hypocenter of power system events irrespective of utility boundaries
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES; 12/2006
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ABSTRACT: Changes in power system operating conditions cause dynamic changes in angle and frequency. These changes propagate through the system as disturbances in frequency as previously studied (J.S. Thorp, et al., 1998), (L. Huang, et al., 2001). The disturbances in system frequency travel with finite speed across the system area (M. Parashar, et al., 2004). Thus a sudden loss of generation in one area would be seen as a frequency disturbance in other areas of the power system. Through use of wide-area frequency measurements these traveling frequency disturbances can be observed and recorded. This paper focuses on the analysis of this recorded data and how the specific properties of a generator trip can be determined. Future generator trips can then be compared against the recorded frequency signatures to determine a probable match. In this way the trip location can be determined. This analysis and comparison process is capable of being completely automated to be used in real time to determine the health of the power system as a whole
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES; 12/2006
