Detection of power system oscillation using moving window Prony method

Liang, Wuxing; Kang, H; Yao, Liangzhong

doi:10.1109/powercon.2010.5666456

Cited by 7 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different applications along with the benefits of PMU are demonstrated in [26]. Low-frequency oscillation can be detected with the help of PMU [27], [28]. The feature of frequency measurement of PMU is adopted in this approach.…”

Section: Fault Allocation and Fault Classification Approach 31 Fault ...mentioning

confidence: 99%

Phasor measurement unit application-based fault allocation and fault classification

Bairwa

Singh

2023

IJAAS

View full text Add to dashboard Cite

<span>This paper makes a contribution to the field of fault location finding in a new way that helps in the improvement of grid reliability. This paper proposes a study-based approach for fault allocation and fault type classification that uses the study of voltage and current frequency during the abnormal condition. Although, ideally frequency of voltage and current are the same in the abnormal condition they may differ from each other. This difference in frequency is separately measured by the phasor measurement unit (PMU) block at MATLAB/Simulink platform. The PMU (PLL-based, positive-sequence) block is inspired by the IEEE Std C37.118.1-2011. In this approach, we measure the line voltage and current frequency variation with the help of installed PMU after this we present this measurement in characteristics form with the help of the scoping tool in MATLAB/Simulink and study them one by one, and proposed a conclusion for fault location identification and fault type classification. The proposed approach is able to identify the source side and load side fault location and also able to classify faults into two categories namely symmetrical and asymmetrical. The proposed approach is tested on two MATLAB/Simulink models and observed satisfactory.</span>

show abstract

Section: Fault Allocation and Fault Classification Approach 31 Fault ...mentioning

confidence: 99%

Phasor measurement unit application-based fault allocation and fault classification

Bairwa

Singh

2023

IJAAS

View full text Add to dashboard Cite

show abstract

“…With the technological advent, Phasor measurement unit (PMU), the measurements of voltage and current phasors along with frequency and rate of change of frequency (ROCOF) synchronized with Global Positioning System (GPS) satellite are available [4]. With these PMU measurements it is possible to monitor the real time low frequency oscillations power system [5]. Various applications of PMU with benefits are explained in [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Synchrophasor Based Validation of Power System Stabilizer - A Case Study

Rampurkar¹,

Mangalvedekar²

2015

IJERT

View full text Add to dashboard Cite

The Indian electricity grid is one of the largest grid and complex networks in the world. Such complex networked power systems experience small signal stability problems in the form of low frequency oscillations. These oscillatory modes if undamped (growing oscillations) can disrupt the system operations. Thus monitoring of undamped oscillations is necessary for reliable operation of the system. These growing oscillations if not damped can even lead to complete blackout. There are various techniques used to estimate the modal content of the power system: model based techniques and measurement based techniques. In the model based technique the nonlinear differential equations governing the system are linearized about an operating point & further the modes are obtained via Eigen value analysis, whereas in measurement based techniques direct measurements from PMU estimate the linear model. Some of the popular measurement based techniques for estimating modes are Prony analysis, Matrix Pencil, Hilbert transform, wavelet transform. The Indian power grid has deployed the technology of Phasor Measurement Units (PMU) which help in the identification of low frequency oscillations present in the system. This paper discusses a case study of an event occurred in the Indian grid which validates the operation of power system stabilizer used to damp oscillations in the power system. The measurement based technique: Prony analysis has been used for estimating the modal contents. The measurements from PMU have been utilized for performing the validation study.

show abstract