1,720,970 research outputs found
PMU Applications Requirements Test Framework: An Open Source Code
No full textPhasor measurement units (PMUs) performance changes among instrument models and the data delivered to the applications may vary widely in quality. To date, there is not a clear understanding of how problems that develop in the data process path may affect the performance of synchrophasor applications. To assess the severity of these problems, we need a simulation platform capable of modeling the entire data process. The basic idea is to model and to simulate PMU measurements in presence of dynamic events in the electrical network, for then to study application´s performance when different kinds of impairments are applied to the input signal. These impairments could include uncompensated effects from transformers, A/D converters, errors in the PMU estimation algorithms, problems with the communication channels, etc. The construction of such an experimental platform is under way at the National Institute of Standards and Technology (NIST). In particular, in this work, we have designed and used this open source simulator to evaluate applications to perform modal analysis, state estimation, and generator model validation. For each application, different estimation techniques were tested: Prony´s method, least squares and the extended Kalman filter, respectively. Finally, we analyze these results and we elaborate on the appropriateness of the requirements imposed by the present PMU standards.Fil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Goldstein, Allen R.. No especifíca;IEEE Biennial Congress of ArgentinaEstados UnidosInstitute of Electrical and Electronics Engineer
Complex Dissipating Energy Flow Method for Forced Oscillation Source Location
No full textIn this letter we propose an extension of the Dissipating Energy Flow (DEF) method for locating sources of forced oscillations (FOs), based on an energy function constructed by the complex integral approach, which we call Complex DEF (CDEF). To trace sources of FO, we study the scalar projection of CDEF in a specific direction on the complex plane. We show by simulated cases that this alternative has a good performance in cases where the original DEF fails.Fil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Ctro de Simulación Computacional P/aplicaciones Tecnologicas; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Ctro de Simulación Computacional P/aplicaciones Tecnologicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaFil: Elizondo, Marcelo. Pacific Northwest National Laboratory; Estados Unido
DSE-assisted DEF strategy for locating forced oscillations in synchronous generators
No full textWe present a new methodology to identify if forced oscillation (FO) sources are located in excitation systems or turbine governors. In this context, we propose to harness the information that dynamic state estimation (DSE) provides to be able to apply a dissipating energy flow (DEF) method. Measurements from phasor measurement units (PMUs) are used to estimate the internal states of different generators connected to the same bus. Using these estimations, we compute energy functions for the mechanical control loop and for the excitation control loop to determine where the FO was originated. Simulated signals from the IEEE-NASPI Oscillation Source Location (OSL) Contest are used to show that our proposal provides an online systematic methodology for identification and location of power systems forced oscillations, even when current measurements of the generator causing the FO are missing.Fil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentin
Estimadores de Estados en Redes Eléctricas Inteligentes: Mediciones SCADA y PMU
No full textEn el contexto de las redes eléctricas inteligentes, es de vital importancia monitorear el estado de la red, ya que por este medio, es posible detectar situaciones anormales de funcionamiento, tomar medidas de protección y control, y por último, estabilizar al sistema. El monitoreo puede garantizarse resolviendo el problema de estimación de estados que consiste en calcular las tensiones en todos los nodos de la red. Para tal fin, se utiliza el conjunto de mediciones provistas por los dispositivos de sensado que, a su vez, están instalados únicamente en algunos nodos del sistema. En este trabajo, se compara la solución clásica del problema, usando las mediciones provistas por el sistemasupervisión, control y adquisición de datos (SCADA), con una técnica más novedosa que incorpora los datos de equipos más sofisticados de sensado denominados como unidades de medición fasorial (PMUs). Estos dispositivos le permiten al operador de la red contar no sólo con las magnitudes, sino también con las fases de las tensiones y corrientes. Además, estas mediciones poseen una gran precisión y una alta tasa de reporte. Una serie de simulaciones numéricas de distintos escenarios estáticos y dinámicos del sistema son realizadas para evaluar el desempeño de estos estimadores de estado. Los resultados demuestran en qué medida es ventajoso utilizar las mediciones de las PMUs en el estimador de estados.Fil: Fernández Quesada, Ignacio. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaFil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaXVIII Workshop on Information Processing and ControlBahía BlancaArgentinaUniversidad Nacional del Su
A Self-Adaptive Contractive Algorithm for Enhanced Dynamic Phasor Estimation
No full textIn this paper, a self-adaptive contractive (SAC) algorithm is proposed for enhanced dynamic phasor estimation in the diverse operating conditions of modern power systems. At a high-level, the method is composed of three stages: parameter shifting, filtering and parameter unshifting. The goal of the first stage is to transform the input signal phasor so that it is approximately mapped to nominal conditions. The second stage provides estimates of the phasor, frequency, rate of change of frequency (ROCOF), damping and rate of change of damping (ROCOD) of the parameter shifted phasor by using a differentiator filter bank (DFB). The final stage recovers the original signal phasor parameters while rejecting misleading estimates. The most important features of the algorithm are that it offers convergence guarantees in a set of desired conditions, and also great harmonic rejection. Numerical examples, including the IEEE C37.118.1 standard tests with realistic noise levels, as well as fault conditions, validate the proposed algorithm.Fil: Messina, Francisco Javier. McGill University; CanadáFil: Marchi, Pablo Gabriel. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentin
Transformer-based deep learning model for forced oscillation localization
Get PDFAccurately locating Forced Oscillations (FOs) source(s) in a large-scale power system is a challenging task, and an important aspect of power system operation. In this paper, a complementary use of Deep Learning (DL)-based and Dissipating Energy Flow (DEF)-based methods are proposed to localize forced oscillation source(s) using data from Phasor Measurement Units (PMUs), by tracing the forced oscillations source(s) on the branch level in the power system network. The robustness, effectiveness and speed of the proposed approach is demonstrated in a WECC 240-bus test system, with high renewable integration in the system. Several simulated cases were tested, including non-gaussian noise, partially observable system, and operational topology variations in the system which correspond to real-world challenges. Timely localization of forced oscillation at an early stage provides the opportunity for taking remedial reaction. The results show that without the information of system operational topology, the proposed method can achieve high localization accuracy in only 0.33 s.Fil: Matar, Mustafa. University Of Vermont.; Estados UnidosFil: Gill Estevez, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Messina, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Ctro de Simulación Computacional P/aplicaciones Tecnologicas; ArgentinaFil: Elmoudi, Ramadan. No especifíca;Fil: Wshah, Safwan. University Of Vermont.; Estados Unido
Online tracking of sub-transient generator model variables using dynamic phasor measurements
No full textIn this article, we present a new formulation of the existing synchronous generator models based on phasor measurement data. The proposed sub-transient model allows to estimate the dynamic state variables as well as to calibrate model parameters in real time. This model makes a more efficient use of the information gathered at the multi-functional digital fault recorders (DFRs) and phasor measurement units (PMUs), which are becoming widely available in power grids. In particular, we include in our model the measurements of frequency, rate of change of frequency, and phasor derivatives. Using standard non-linear estimation techniques, we calibrate the inertia constant and generator reactances by considering a synchronous machine with different mechanical power controls. Additionally, we test the performance of this method under multiple power system disturbances such as line-to-ground faults, line loss, load loss, etc.Fil: Marchi, Pablo Gabriel. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Messina, Francisco Javier. McGill University; CanadáFil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentin
PLL based implementation of a PMU
No full textWe describe the implementation of a single-phase estimation algorithm for phasor measurement unit (PMUs) compliant with the IEEE C37.118.1-2011 standard. It consists of three stages: The fist one is a bandpass FIR filter that allows the relaxation of the requirements of the following stages. The second one is a digital extension on state-space of the pseudo-linear enhanced phase locked loop (PL-EPLL) used for tracking the amplitude, phase, frequency and ROCOF of the input signal. The third stage compensates the FIR filter effects on the signal of interest. The algorithm performance is analyzed on an embedded implementation for ARM Cortex-M3 processors, discriminating the computational cost per stage. Lastly we present a concurrent multichannel implementation, focusing on the synchronization of the reporting times.Fil: Zuloaga Mellino, Juan Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Messina, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Galarza, Cecilia Gabriela. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaXVII Workshop on Information Processing and ControlMar del PlataArgentinaInstituto de Investigaciones Científicas y Tecnológicas en Electrónic
Forced Oscillation Identification and Filtering From Multi-Channel Time-Frequency Representation
No full textLocation of non-stationary forced oscillation (FO) sources can be a challenging task, especially under resonance condition with natural system modes. In this case, the magnitudes of the oscillations could be greater in places distant from the source and the oscillation spreads over a large region of the power system. Detection, frequency identification and filtering of FO oscillatory components constitutes an initial and critical step for the application of oscillation source location (OSL) methods. Specifically, this step has a major impact on the performance of the OSL method, such as the Dissipating Energy Flow (DEF) method. In this paper we develop a systematic methodology for detection, identification and filtering of non-stationary FO based on multi-channel time-frequency (TF) representation (TFR). We compare three TF approaches applied together with the DEF method: short-time Fourier transform (STFT), STFT-based synchrosqueezing transform (FSST) and second order FSST (FSST2). We have used simulated signals and real world PMU data to show that the proposed method provides a systematic framework for the identification and filtering of power systems non-stationary forced oscillations.Fil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires; ArgentinaFil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Messina, Francisco Javier. Pacific NorthWest National Laboratory; Estados UnidosFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentin
Non-Stationary Power System Forced Oscillation Analysis Using Synchrosqueezing Transform
No full textNon-stationary forced oscillations (FOs) have been observed in power system operations. However, most detection methods assume that the frequency of FOs is stationary. In this paper, we present a methodology for the analysis of nonstationary FOs. Firstly, Fourier synchrosqueezing transform (FSST) is used to provide a concentrated time-frequency representation of the signals that allows identification and retrieval of non-stationary signal components. To continue, the Dissipating Energy Flow (DEF) method is applied to the extracted components to locate the source of forced oscillations. The methodology is tested using simulated as well as real PMU data. The results show that the proposed FSST-based signal decomposition provides a systematic framework for the application of DEF Method to non-stationary FOs.Fil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaFil: Elizondo, Marcelo Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
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