| 1. |
- Vanfretti, Luigi, et al.
(författare)
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Application of ambient analysis techniques for the estimation of electromechanical oscillations from measured PMU data in four different power systems
- 2011
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Ingår i: European transactions on electrical power. - : Wiley-Blackwell. - 1430-144X .- 1546-3109. ; 21:4, s. 1640-1656
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Tidskriftsartikel (refereegranskat)abstract
- The application of advanced signal processing techniques to power system measurement data for the estimation of dynamic properties has been a research subject for over two decades. Several techniques have been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies have been included in off-line analysis software, and are now being incorporated into software tools used in control rooms for monitoring the near real-time behavior of power system dynamics. In this paper we illustrate the practical application of some ambient analysis methods for electromechanical mode estimation in different power systems. We apply these techniques to phasor measurement unit (PMU) data from stored archives of several hours originating from the US Eastern Interconnection (EI), the Western Electricity Coordinating Council (WECC), the Nordic Power System, and time-synchronized Frequency Disturbance Recorder (FDR) data from Nigeria. It is shown that available signal processing tools are readily applicable for analysis of different power systems, regardless of their specific dynamic characteristics. The discussions and results in this paper are of value to power system operators and planners as they provide information of the applicability of these techniques via readily available signal processing tools, and in addition, it is shown how to critically analyze the results obtained with these methods.
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| 2. |
- Vanfretti, Luigi, et al.
(författare)
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Estimation of Eastern Denmark’s electromechanical modes from ambient phasor measurement data
- 2010
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Ingår i: IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010. - : IEEE. - 9781424483570 ; , s. 1-8
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Konferensbidrag (refereegranskat)abstract
- In this paper we report on the preliminary results of a collaborative investigation effort between researchers in North America and Europe aiming to baseline the electromechanical modes and mode shapes of the Nordic system from synchronized phasor measurement data. We provide an overview on the Danish power grid and its interconnections, and describe the features of an experimental phasor measurement unit designed by DTU which is used to provide the measurements used in this investigation. Parametric and non-parametric block processing techniques are applied to 48 hours of ambient data recorded at the Radsted and Hoveg #x00E5;rd substations in Eastern Denmark. The estimated modes are in agreement with those shown in eigenanalysis studies, and other measurement-based investigations. More importantly, the emergence of a new 0.8 Hz mode in Sj #x00E6;lland is reported.
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| 3. |
- Vanfretti, Luigi, et al.
(författare)
-
Estimation of the Nigerian Power System Electromechanical Modes using FDR Measurements
- 2010
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Ingår i: Proceedings of the 9th International Conference on Power System Operations and Planning (ISCPSOP) 2010.
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Konferensbidrag (refereegranskat)abstract
- This paper reports on an ongoing research effort between researchers in North America and Africa on the study of the dynamics of loosely regulated and rapidly growing power systems, with focus on the Nigerian power network. A description of the implementation of Virginia Tech’s FDR (Frequency Disturbance Recorder) at Bauchi, Nigeria is provided. We discuss the nature of the frequency dynamics observed throughout multiple hours of a day in Nigeria and other power systems. To cater to the loosely regulated nature of the system frequency in Nigeria, we propose an appropriate method for signal conditioning which prepares the data for ambient analysis. Parametric and nonparametric block processing techniques are applied to prolonged frequency recordings ranging from 8 to 19 hours, and estimates of modal frequencies and damping are obtained by computing power spectrum densities and applying a mode meter algorithm to the ambient data. The estimated modes from ambient analysis are in agreement with other studies based on power system models.
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