A new classification for power quality events in distribution systems

Özgönenel, Okan; Yalçin, Turgay; Guney, Irfan; Kurt, Unal

doi:10.1016/j.epsr.2012.09.007

Cited by 97 publications

(64 citation statements)

References 20 publications

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“…La calidad de energía se refiere a varios tipos de perturbaciones eléctricas como: elevaciones y caídas de voltaje, parpadeos, impulsos, armónicos, componentes de voltaje continuo, transitorios, interferencia electromagnética e interrupciones en el sistema eléctrico; también se puede clasificar este tipo de perturbaciones en tres grupos de variaciones: frecuencia, amplitud y fenómenos transitorios (Ozgonenel et al, 2013). En el caso de parques eólicos, la calidad de energía se ve afectada por los cambios bruscos en la velocidad del viento llamados ráfagas, las cuales disminuyen el rendimiento de los aerogeneradores.…”

Section: Introductionunclassified

Influencia de las ráfagas de viento en la calidad de la energía de los parques eólicos

2014

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(Recibido: 2014/04/30 - Aceptado: 2014/09/22)La matriz energética mundial está cambiando debido a que el consumo de energía en los últimos años se ha duplicado. En muchos países la instalación de centrales de energías renovables no convencionales se ha convertido en la solución a este crecimiento. La integración de este tipo de energías a la red eléctrica causa interés en el estudio de las propiedades eléctricas que afectan la producción de energía. Este documento es una revisión de los conceptos y fenómenos de calidad de energía y cómo estos se generan en parques eólicos. La eficiencia de los aerogeneradores se ve afectada por diversos factores, entre los cuales se destacan: las maniobras en subestaciones y los factores climáticos como las ráfagas de viento causantes de variaciones en la curva de potencia. El monitoreo constante en los sistemas eléctricos y el análisis de datos ofrece un alto potencial en la mejora de los procesos de producción y distribución de la energía.

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Section: Introductionunclassified

Influencia de las ráfagas de viento en la calidad de la energía de los parques eólicos

2014

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“…The EMD method has focused considerable attention and has been indexed recently for power system fault detection and analysis [12][13]. Indeed and contrary to wellknown decomposition techniques, EMD is intuitive and direct, with the basic functions based on and derived from the data.…”

Section: Eemd-based Voltage Sag Detection Techniquementioning

confidence: 99%

A smart grid voltage sag detector using an EEMD-based approach

Benbouzid

2013

2013 International Electric Machines &Amp; Drives Conference

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Abstract-Smart grids have become a focal point in renewable energy source researches. Sustainability and viability of distributed grids are highly dependent on the reduction of the operational and maintenance costs. The most efficient way of reducing these costs would be to continuously monitor the condition of these systems. This allows for early detection of the power quality degeneration, and facilitating a proactive response, prevent a fault ride-through the renewable energy conversion system, minimizing downtime, and maximizing productivity.This paper provides then the assessment of an advanced signal processing technique (demodulation tool) using the instantaneous power for voltage sags detection in smart grids.Index Terms-Smart grid, voltage sag detection, power quality (PQ), ensemble empirical mode decomposition (EEMD).

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“…In statistical evaluation, for a signal in the time domain the cumulative probability p(l) of signal level l over a period of T time is calculated from Eq. (8). The graphical representation of p(l) is called the cumulative probability function (CPF) [5].…”

Section: Calculation Of Pstmentioning

confidence: 99%

“…The potential of a relatively recent method of ensemble empirical mode decomposition (EMD)-based support vector machine (SVM) classification for analyzing nonlinear and nonstationary power disturbances is applied in [7,8]. A relatively new method known as EMD for the classification of the analyzed power quality disturbances developed by Huang et al is proposed [9].…”

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confidence: 99%

Empirical mode decomposition application for short-term flicker severity

Onal¹,

Gerek²,

Ece³

2016

Turk J Elec Eng & Comp Sci

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Abstract:In this article, an approach based on empirical mode decomposition (EMD) is suggested in order to calculate short-term flicker severity, Pst, in power systems. EMD is a new signal processing method used for the analysis of nonlinear and nonstationary signals. Pst is an important quantity in the electric power quality index defined by the International Electrotechnical Commission. In the suggested approach, the voltage signal is separated into intrinsic mode function components using EMD. These components are used for calculating the voltage flicker amplitude and frequency, and Pst is calculated as a result of the statistical evaluation of flicker amplitude. EMD is thought to be efficient in finding the flickers and calculating Pst due to power to find the changes in the oscillating signal envelope of EMD. Simulations are made using an input signal modulated with single and multiflicker frequency. Simulations show that the approach is usable in the calculation of Pst and it gives good results.

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A new classification for power quality events in distribution systems

Cited by 97 publications

References 20 publications

Influencia de las ráfagas de viento en la calidad de la energía de los parques eólicos

Influencia de las ráfagas de viento en la calidad de la energía de los parques eólicos

A smart grid voltage sag detector using an EEMD-based approach

Empirical mode decomposition application for short-term flicker severity

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