Synchronized Phasor Measurements and Their Applications
By Arun G. Phadke, J. Thorp. 2008
1,841 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8e71aa6a53f52ca007d3b6a28aa66cb7235cdca3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Magnus Akke
- Kleber Melo Silva
- Ali Abdollahi
- F. Nascimento
- Jimmy Chih-Hsien Peng
- Nirmal-Kumar C. Nair
- F. Matinfar
- J. Thorp
In Control and Systems Engineering
- Magnus Akke
- Kleber Melo Silva
- F. Nascimento
- J. Thorp
- Ali Abdollahi
- Jimmy Chih-Hsien Peng
- Nirmal-Kumar C. Nair
- F. Matinfar
In Electrical and Electronic Engineering
- Magnus Akke
- Nikolaos M. Manousakis
- George N. Korres
- Kleber Melo Silva
- F. Nascimento
- J. Thorp
- Nikolaos P. Theodorakatos
- Ali Abdollahi
Citations in the corpus
- Fusion of Multirate Measurements for Nonlinear Dynamic State Estimation of the Power Systems (2019, neutral): “5-2 measurement samples per second [6], [7].”
- Support Vector Machine-Based Algorithm for Post-Fault Transient Stability Status Prediction Using Synchronized Measurements (2011, background): “All three quantities can be easily obtained through a PMU-based wide area measurement system [27].”
- A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids (2011, neutral): “In practice, this can be done via phasor measurement units that return both the amplitudes and phases of the measured voltages (see [37], [38]).”
- A Modified TLS-ESPRIT-Based Method for Low-Frequency Mode Identification in Power Systems Utilizing Synchrophasor Measurements (2011, methodology): “which are collected at the phasor data concentrator (PDC) [4],”
- Smart Grid — The New and Improved Power Grid: A Survey (2012, neutral): “Sensor [26], [139] [90], [91] [156], [157] [256] Phasor Measurement Unit [11], [20], [22], [23], [38], [56], [110] [137], [160], [183], [184], [197] [196], [199], [221], [238], [237] [243], [248], [252], [270], [271], [272]”
- Frequency Estimation: A Least-Squares New Approach (2011, methodology): “Modern frequency measurement emerged “with the introduction of precise time measurement techniques” [11] which facilitated the measurement of zero-crossing and level-crossing intervals.”
- Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models (2015, background): “The real time data, provided by PMUs, are transmitted over fast communication links and gathered to higher level devices, known as Phasor Data Concentrators (PDCs) [2].”
- Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications (2018, methodology): “where n represents the nth sampling instant; δ = 2π N ; N is the number of samples per cycle; and M defines the data window length, so that M = N for the FCDFT algorithm and M = N/2 for the HCDFT algorithm [20].”
- Reliability-Based Incremental PMU Placement (2014, background): “Wide-area measurement systems (WAMS) based on PMUs have been becoming an important measure to guarantee security and stability of power systems [2].”
- Distributed Robust Power System State Estimation (2012, background): “The almost flatetk,c curves shown at the top of the figure correspond to the decentralized algorithm of [29] whose step sizes have been optimized.”
- Trade-Offs in PMU Deployment for State Estimation in Active Distribution Grids (2012, methodology): “State estimation using synchrophasor measurements has also been widely proposed for transmission networks and has been proven as a promising tool to improve the performance of the state estimation (SE) [9]–[11].”
- Cyber–Physical System Security for the Electric Power Grid (2012, methodology): “However, Phadke and Thorp [34] identify control applications that could be enhanced by using data provided by PMUs.”
- Enhancing Kalman Filter for Tracking Ringdown Electromechanical Oscillations (2012, methodology): “In order to maintain adequate network security and visibility while meeting the desired transmission capacity, wide area monitoring system (WAMS) infrastructure using phasor measurement unit (PMU) data is proposed [2]–[4].”
- Smart Operation of Smart Grid: Risk-Limiting Dispatch (2011, background): “Recent developments in synchronized real-time measurements (PMU) to replace RTU and the wide area measurement systems (WAMSs) are just the beginning of a new generation of sensors in bulk power systems [31].”
- Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies (2015, background): “improve the speed and accuracy of these protection and control schemes [75, 76].”
- Enhanced Interpolated-DFT for Synchrophasor Estimation in FPGAs: Theory, Implementation, and Validation of a PMU Prototype (2014, background): “Regardless of the chosen technology, several approaches to provide synchronized measurements of synchrophasor, frequency and ROCOF exist.”
- Sample Value Adjustment Improves Phasor Estimation at Off-Nominal Frequencies (2010, methodology): “The three-sample average filter is as specified in [3].”