PMU-Based Event Localization Technique for Wide-Area Power System

Kim, Do-In; White, Austin; Shin, Yong-June

doi:10.1109/tpwrs.2018.2824851

Cited by 28 publications

(13 citation statements)

References 26 publications

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“…With the fast data acquisition period and synchronisation of PMUs, K-WAMS detects and monitors system oscillation, fault occurrence and system isolation, and performs on-line system analysis [28]. Moreover, studies are conducted to eliminate the uncertainty about existing system components and estimate the exact model through PMU data acquired in real time [29]. The monitoring operations of K-WAMS can be summarised as follows:…”

Section: Fig 1 Conceptual Diagram Of K-wams Test Bed With Separate Smentioning

confidence: 99%

Enhancement of linearity and constancy of PMU‐based voltage stability index: application to a Korean wide‐area monitoring system

Jung

Cho

Park

et al. 2020

IET Generation, Transmission & Distribution

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Section: Fig 1 Conceptual Diagram Of K-wams Test Bed With Separate Smentioning

confidence: 99%

Enhancement of linearity and constancy of PMU‐based voltage stability index: application to a Korean wide‐area monitoring system

Jung

Cho

Park

et al. 2020

IET Generation, Transmission & Distribution

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“…This method is based on altogether learning by resetting and equating numerous linear regressions to estimate the missing data. An online event identification technique in a wide-area power system by PMU is described in [13]. In this, offline zonal analysis and an online event location estimation technique are combined.…”

Section: Introductionmentioning

confidence: 99%

Synergizing PMU Data From Multiple Locations in Indian Power Grid-Case Study

Ballal

Kulkarni

2021

IEEE Access

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Synchrophasor technology improves power grid visibility by installing phasor measurement units (PMUs) over a wide area in the power system. Big data received from PMUs contains important information about grid behavior. This information is useful in monitoring the safety and security of the grid. An extensive state-of-the-art review of big data analytics and its prime applications in power systems are expressed in this paper. It presents, a general background in data analysis techniques such as exploratory data analysis, statistical data analysis, and unsupervised data mining techniques like clustering. Two 400 kV transmission line tripping events are analyzed from the data recorded by the PMUs installed in the western part of the Indian grid i.e., Maharashtra State Electricity Transmission Company Limited (MSETCL) grid. The box plots, Correlogram, and the formation of clusters carried out for the PMU data recorded under ambient and disturbance events. This provides insights on how effective big data helps to make the right decision at right time for effective management of the power grid under normal and contingency conditions.

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“…The information from PMU can be transmitted in real time, and the procedure of deriving a common instant in time to reference all phasors leads to the so-called synchrophasors. There are a number of applications in modern power system, and their measurements remain a topic of intense research in recent years (Phadke et al 1983(Phadke et al , 1994Thorp et al 1985;Phadke 1993;Burnett et al 1994;Ree et al 2010;Aminifar et al 2014;Moraes et al 2012;Kim et al 2018. Among the different applications derived from PMU data are included the wave form data, sequence components, amplitude, phase angle, and frequency (Phadke et al 1994;Patil and Thosar 2017;de la O Serna 2015).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Phase-Locked Loop Phasor Measurement Algorithm on a Harmonic Polluted Environment in Applications Such as PMU

Costa

Berriel

Lima

et al. 2019

J Control Autom Electr Syst

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The use of phasor measurement units is becoming ubiquitous in modern power system as they provide dynamic monitoring of variables such as voltage and current, and also due to its capability to determine the variable positive sequence magnitude and phase. However, the increasing usage of renewables, DC grids, and power electronic devices may imply in a network environment contaminated with harmonics that might affect the correct estimation of positive sequence phasors values. This paper investigates the performance of a phase-locked loop (PLL)-based phasor measurement algorithm in a voltage and current harmonic polluted environment. PLL systems have been widely used for control of power electronics devices based on pulse-width modulation. There are in the literature several propositions of PLL architectures, and this work evaluates, among some of these possibilities, their adequacy for the aforementioned task. Detailed representation of the network elements involved is considered as well as a digital model for the PLL which can then assess its adequacy for real-time applications.

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PMU-Based Event Localization Technique for Wide-Area Power System

Cited by 28 publications

References 26 publications

Enhancement of linearity and constancy of PMU‐based voltage stability index: application to a Korean wide‐area monitoring system

Enhancement of linearity and constancy of PMU‐based voltage stability index: application to a Korean wide‐area monitoring system

Synergizing PMU Data From Multiple Locations in Indian Power Grid-Case Study

Evaluation of a Phase-Locked Loop Phasor Measurement Algorithm on a Harmonic Polluted Environment in Applications Such as PMU

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