| 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)
-
Building a Frequency Monitoring Network to Study Dynamics of Small-Scale Power Systems
- 2007
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Ingår i: Proceedings of the 7th International Conference on Power System Operations and Planning (ICPSOP) 2007. - : ICPSOP.
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Konferensbidrag (refereegranskat)abstract
- Frequency is one of the most important measures of the status of a power system, especially for weak and smallscale po systems. Therefore, frequency monitoring is a desirable practice to ensure reliability and provide data for analysis. This paper reports the joint work between Rensselaer Polytechnic Institute (RPI) and Abubakar Tafawa Balewa University (ATBU) to study frequency dynamics of small power systems. We describe the Frequency Disturbance Recorder (FDR) implementation experience at ATBU, Bauchi, Nigeria, and present analysis on the digital recordings provided by the FDR installed at this location. A proposal for a university-based FNET for Nigeria’s power system is also presented. Such monitoring system will allow further investigations on the Nigerian system dynamics and will enhance the understanding of dynamics and control of weak small-scale power systems.
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| 3. |
- Vanfretti, Luigi, et al.
(författare)
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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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| 4. |
- Vanfretti, Luigi, et al.
(författare)
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Modelling of a System Collapse in the Nigerian National Power System using Frequency Disturbance Recorder Data
- 2012
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Ingår i: 9th International Conference on Power System Operations adn Planning (ICPSOP) 2012. ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- This paper exploits the availability of frequency disturbance recorder (FDR) measurements and knowledge of the underlying operational data from the Nigerian National Power System to develop a model capable of reproducing the most important characteristics of one of the many collapses in the Nigerian grid during the last recent years.The collapse investigated in this paper was captured on December 2nd , 2006, with an FDR unit installed at Abubakar Tafawa Balewa University (ATBU). Using operational information from the National Control Center (NCC) at Osogbo, three models representing the Nigerian power system were developed to capture the most relevant dynamics of the grid during the cascading failure. These models include both detailed representations of the different network components, as well as average frequency dynamics only.Comprehensive simulation results show how the models are capable of representing the most important features of the collapse of the system, and hence, their continuous improvement through model validation may allow their use in the development of load shedding mechanisms which are needed for mitigating cascading failures in the Nigerian system.
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| 5. |
- Vanfretti, Luigi, et al.
(författare)
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System frequency monitoring in the Nigerian power system
- 2009
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Ingår i: 2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8. - : IEEE. - 9781424442409 ; , s. 2301-2306
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Konferensbidrag (refereegranskat)abstract
- Frequency is one of the most important measures of the state of a power system, especially for structurally weak and rapidly growing power systems. Thus, frequency monitoring is a desirable practice to ensure reliability and provide data for analysis. This paper reports the joint work between Abubakar Tafawa Balewa University (ATBU) and Rensselaer Polytechnic Institute (RPI) to study frequency dynamics of a relative small power system. We describe the frequency disturbance recorder (FDR) implementation experience at ATBU, Bauchi, Nigeria, and present analysis on the digital recordings obtained by the FDR. A proposal for a university-based frequency monitoring network for the Nigerian power system is also presented. Such monitoring system will allow further investigations on the Nigerian system and ultimately enhance the understanding of the dynamics and control of structurally weak and rapidly growing power systems found in many developing countries.
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