Power system low frequency oscillation mode estimation using wide area measurement systems
(چکیده مقاله) :
Abstract :
Oscillations in power systems are triggered by a wide variety of events. The system damps most of the
oscillations, but a few undamped oscillations may remain which may lead to system collapse.
Therefore low frequency oscillations inspection is necessary in the context of recent power system operation
and control. Ringdown portion of the signal provides rich information of the low frequency oscillatory
modes which has been taken into analysis. This paper provides a practical case study in which
seven signal processing based techniques i.e. Prony Analysis (PA), Fast Fourier Transform (FFT), STransform
(ST), Wigner-Ville Distribution (WVD), Estimation of Signal Parameters by Rotational
Invariance Technique (ESPRIT), Hilbert-Huang Transform (HHT) and Matrix Pencil Method (MPM) were
presented for estimating the low frequency modes in a given ringdown signal. Preprocessing of the signal
is done by detrending. The application of the signal processing techniques is illustrated using actual wide
area measurement systems (WAMS) data collected from four different Phasor Measurement Unit (PMU)
i.e. Dadri, Vindyachal, Kanpur and Moga which are located near the recent disturbance event at the
Northern Grid of India. Simulation results show that the seven signal processing technique (FFT, PA,
ST, WVD, ESPRIT, HHT and MPM) estimates two common oscillatory frequency modes (0.2, 0.5) from
the raw signal. Thus, these seven techniques provide satisfactory performance in determining small frequency
modes of the signal without losing its valuable property. Also a comparative study of the seven
oscillations, but a few undamped oscillations may remain which may lead to system collapse.
Therefore low frequency oscillations inspection is necessary in the context of recent power system operation
and control. Ringdown portion of the signal provides rich information of the low frequency oscillatory
modes which has been taken into analysis. This paper provides a practical case study in which
seven signal processing based techniques i.e. Prony Analysis (PA), Fast Fourier Transform (FFT), STransform
(ST), Wigner-Ville Distribution (WVD), Estimation of Signal Parameters by Rotational
Invariance Technique (ESPRIT), Hilbert-Huang Transform (HHT) and Matrix Pencil Method (MPM) were
presented for estimating the low frequency modes in a given ringdown signal. Preprocessing of the signal
is done by detrending. The application of the signal processing techniques is illustrated using actual wide
area measurement systems (WAMS) data collected from four different Phasor Measurement Unit (PMU)
i.e. Dadri, Vindyachal, Kanpur and Moga which are located near the recent disturbance event at the
Northern Grid of India. Simulation results show that the seven signal processing technique (FFT, PA,
ST, WVD, ESPRIT, HHT and MPM) estimates two common oscillatory frequency modes (0.2, 0.5) from
the raw signal. Thus, these seven techniques provide satisfactory performance in determining small frequency
modes of the signal without losing its valuable property. Also a comparative study of the seven
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار:2017
این مقاله OPEN ACCESS می باشد و به طور رایگان از سایت ساینس دایرکت قابل دانلود است
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 18 صفحه
سال انتشار:2017
این مقاله OPEN ACCESS می باشد و به طور رایگان از سایت ساینس دایرکت قابل دانلود است
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 18 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2017 \ Papia Ray
Sent date(تاریخ ارسال) :
1397/10/27 | 1/17/2019
Number of visits(تعداد بازدید):
873
Key words (کلمات کلیدی):
Wide area measurement system Fourier Transform Prony Analysis Wigner-Ville Distribution Hilbert-Huang Transform Matrix Pencil Method
Number of pages(تعداد صفحات) :
18
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