WAMS and synchrophasor experience during synchronization of large grids in India

Mukhopadhyay, Prithwish; Seshadri, Pushpa; Gangrekar, Chitranshi; Kumar, Chandan; Kumar, Awani; Reddy, N Madhusudhan

doi:10.1109/spices.2015.7091398

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…• It is reported by the Indian power grid controller that the inter-area mode between the southern grid and the 'rest of India' grid has a frequency of 0.18 − 0.22 Hz and a damping ratio of 8−16% [31]. The results given in Table 8 match quite well with these benchmark values.…”

Section: B Case Studies With the Parameter P =supporting

confidence: 60%

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Equivalence of Matrix Pencil and HTLS Ring-Down Electromechanical Mode Identification Algorithms

Rao,

Shubhanga

2023

IEEE Access

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Matrix pencil and Hankel total least squares (HTLS) are two popular ring-down electromechanical mode identification algorithms. The appeal of these algorithms can be attributed to faster execution due to the non-iterative procedure of model order determination based on singular value decomposition of the data matrix. In this paper, these two algorithms are shown to be equivalent -the data matrix in one being the transpose of that in the other. Although this equivalence is proved in the context of power systems, it is valid for other areas of system identification as well. Further, the performance of these algorithms is examined as noise level in the signal increases, and it is shown that these work right down to an SNR of 1 dB provided the signal has only poorly damped modes.INDEX TERMS Matrix pencil, Hankel total least squares (HTLS), ring-down, electromechanical mode identification.

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Section: B Case Studies With the Parameter P =supporting

confidence: 60%

“…=P n↓ Z (31) where Z = G −1 Z G is a similarity transformation on Z and hence has the same eigenvalues as Z, namely, z 1 , z 2 , . .…”

Section: Formulation Of Hankel Total Least Squares Methodsmentioning

confidence: 99%

Equivalence of Matrix Pencil and HTLS Ring-Down Electromechanical Mode Identification Algorithms

Rao,

Shubhanga

2023

IEEE Access

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“…The application of FDD in power system is tested for the purpose of oscillation monitoring. The WAMPAC platform provides real-time dynamic image of EPS, greater accuracy of measurement, rapid data exchange, and enables creation of algorithms for analysing, protecting and managing the EPS [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Synchronized Measurements Processing Methodology as a Tool for Monitoring Power System Oscillations

et al. 2020

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Monitoring, protection and control of the electrical power system require the design and implementation of specific applications that are based on analytical methods for the processing of synchronized measurements. Therefore, it is necessary to select the adequate type of mathematical analysis that best suits the requirements of a particular application. This paper describes analytical methods used for the processing of synchronized measured electrical quantities for detection and analysis of the variety of oscillations. The oscillatory phenomena of active power and frequency as a case study of one disturbance in the power system are analyzed. The results of processing the actual synchronized measurements for that case study are presented afterwards. Different data processing methods (spectral analysis methods) are compared, and finally, a recommendation for appropriate methods for processing synchronized measurements in application for recognition, processing and alarming of oscillations of active power is given.

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Oscillation Detection and Mitigation Using Synchrophasor Technology in the Indian Power Grid

Agarwal¹,

Kumar²

2018

Power Electronics and Power Systems

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WAMS and synchrophasor experience during synchronization of large grids in India

Cited by 9 publications

References 2 publications

Equivalence of Matrix Pencil and HTLS Ring-Down Electromechanical Mode Identification Algorithms

Equivalence of Matrix Pencil and HTLS Ring-Down Electromechanical Mode Identification Algorithms

Synchronized Measurements Processing Methodology as a Tool for Monitoring Power System Oscillations

Oscillation Detection and Mitigation Using Synchrophasor Technology in the Indian Power Grid

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