Relevant bibliographies by topics / Phasor Estimation Algorithms

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Phasor Estimation Algorithms'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Phasor Estimation Algorithms"

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Zhao, Dongfang, Fuping Wang, Shisong Li, et al. "An Optimization of Least-Square Harmonic Phasor Estimators in Presence of Multi-Interference and Harmonic Frequency Variance." Energies 16, no. 8 (2023): 3397. http://dx.doi.org/10.3390/en16083397.

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The wide application of power electronic devices brings an increasing amount of undesired harmonic and interharmonic tones, and accurate harmonic phasor estimation under a complex signal input is an important task for smart grid applications. In this paper, an optimization of least-square dynamic harmonic phasor estimators, considering multi-interference and harmonic frequency variance, is proposed. A comprehensive error index (CEI) composed of the fundamental-leakage-led harmonic amplitude estimation error, harmonic mutual interference, out-of-band interference, and harmonic frequency deviati
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Chukkaluru, Sai Lakshmi, and Shaik Affijulla. "Review of Discrete Fourier Transform During Dynamic Phasor Estimation and the Design of Synchrophasor Units." ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, no. 1 (2023): 248548. http://dx.doi.org/10.37936/ecti-eec.2023211.248548.

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In a large and complex interconnected power system, the measurement of synchronized bus voltage and line current plays a vital role in the monitoring and precise control of various sophisticated electrical equipment for secure and reliable operation. Phasor measurement units (PMUs) are incorporated into a wide area of the power system to extract the different signals of synchronized phasors. In this paper, the capacity of the PMU phasor estimation algorithm is explored based on discrete Fourier transform (DFT) under different sampling frequency rates during various dynamic scenarios in accorda
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Giotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (2023): 5465. http://dx.doi.org/10.3390/en16145465.

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The dynamic monitoring, control, and protection of modern power systems in real time require time-stamped electrical measurements to accurately estimate the bus voltage phasors using the state estimation function under normal and abnormal conditions. These measurements can be acquired by time-synchronized devices, known as phasor measurement units (PMUs). PMUs can measure bus voltage and branch current phasors of a three-phase network, as well as the frequency and the rate of change of frequency (ROCOF), with high speed, accuracy and time stamping provided by global positioning system (GPS) at
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Tajdinian, Mohsen, Shahram Montaser Kouhsari, Kazem Mohseni, and Mehdi Zareian Jahromi. "A novel method for decaying DC component removal with regard to frequency fluctuations." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 1 (2016): 270–88. http://dx.doi.org/10.1108/compel-01-2015-0009.

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Purpose – Decaying DC component has important effect on extracting the fundamental component phasor. It directly affects the precision of protective relaying algorithms which act based on fundamental frequency component. It can be noted that decaying DC component, harmonic components and off-nominal frequency conditions are the major issues which strongly effect phasor estimation. The paper aims to discuss these issues. Design/methodology/approach – This paper proposes a novel hybrid approach for fundamental phasor estimation in order to remove the decaying DC component using Hilbert Transform
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Binek, Malgorzata, Andrzej Kanicki, and Pawel Rozga. "Application of an Artificial Neural Network for Measurements of Synchrophasor Indicators in the Power System." Energies 14, no. 9 (2021): 2570. http://dx.doi.org/10.3390/en14092570.

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Dynamic phenomena in electric power systems require fast and accurate algorithms for processing signals. The processing results include synchrophasor parameters, e.g., varying amplitude, phase or frequency of sinusoidal voltage or current signals. This paper presents a novel estimation method of synchrophasor parameters that comply with the requirements of IEEE/IEC standards. The authors analyzed an algorithm for measuring the phasor magnitude by means of a selected artificial neural network (ANN), an algorithm for estimating the phasor phase and frequency that makes use of the zero-crossing m
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Olarte Dussán, Fredy Andrés, Carlos Eduardo Borda Zapata, and Hernando Díaz Morales. "State Estimation-based Transmission line parameter identification." Ingeniería e Investigación 30, no. 1 (2010): 56–63. http://dx.doi.org/10.15446/ing.investig.v30n1.15208.

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This article presents two state-estimation-based algorithms for identifying transmission line parameters. The identification technique used simultaneous state-parameter estimation on an artificial power system composed of several copies of the same transmission line, using measurements at different points in time. The first algorithm used active and reactive power measurements at both ends of the line. The second method used synchronised phasor voltage and current measurements at both ends. The algorithms were tested in simulated conditions on the 30-node IEEE test system. All line parameters
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Frigo, Guglielmo, Paolo Attilio Pegoraro, and Sergio Toscani. "Low-Latency, Three-Phase PMU Algorithms: Review and Performance Comparison." Applied Sciences 11, no. 5 (2021): 2261. http://dx.doi.org/10.3390/app11052261.

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Phasor Measurement Units are the most advanced instruments for power network monitoring, since they allow phasors, frequency and rate of change of frequency (ROCOF) to be measured in predetermined time instants with respect to an absolute time reference. The employed estimation algorithm plays a key role in overall performance under off-nominal conditions; the challenge to be faced is combining high steady-state accuracy with fast responsiveness in dynamic conditions, small reporting latency and reduced computational burden. Under regular operation, AC power networks are weakly unbalanced thre
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Yang, Xuan, Xiao-Ping Zhang, and Suyang Zhou. "Coordinated algorithms for distributed state estimation with synchronized phasor measurements." Applied Energy 96 (August 2012): 253–60. http://dx.doi.org/10.1016/j.apenergy.2011.11.010.

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Silva, K. M., and F. A. O. Nascimento. "Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications." IEEE Transactions on Power Delivery 33, no. 3 (2018): 1165–73. http://dx.doi.org/10.1109/tpwrd.2017.2738621.

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Macii, David, Daniel Belega, and Dario Petri. "IpDFT-Tuned Estimation Algorithms for PMUs: Overview and Performance Comparison." Applied Sciences 11, no. 5 (2021): 2318. http://dx.doi.org/10.3390/app11052318.

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The Interpolated Discrete Fourier Transform (IpDFT) is one of the most popular algorithms for Phasor Measurement Units (PMUs), due to its quite low computational complexity and its good accuracy in various operating conditions. However, the basic IpDFT algorithm can be used also as a preliminary estimator of the amplitude, phase, frequency and rate of change of frequency of voltage or current AC waveforms at times synchronized to the Universal Coordinated Time (UTC). Indeed, another cascaded algorithm can be used to refine the waveform parameters estimation. In this context, the main novelty o
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Dissertations / Theses on the topic "Phasor Estimation Algorithms"

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Guo, Hengdao. "Frequency Tracking and Phasor Estimation Using Least Squares and Total Least Squares Algorithms." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/57.

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System stability plays an important role in electric power systems. With the development of electric power system, the scale of the electric grid is now becoming larger and larger, and many renewable energy resources are integrated in the grid. However, at the same time, the stability and safety issues of electric power system are becoming more complicated. Frequency and phasors are two critical parameters of the system stability. Obtaining these two parameters have been great challenges for decades. Researchers have provided various kinds of algorithms for frequency tracking and phasor estima
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Kamireddy, Srinath. "Comparison of state estimation algorithms considering phasor measurement units and major and minor data loss." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-11072008-121521.

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Vigliassi, Marcos Paulo. "Algoritmo evolutivo multiobjetivo em tabelas e matriz HΔ para projeto de sistemas de medição para estimação de estado." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-19052017-154501/.

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O problema de projeto de sistemas de medição, para efeito de Estimação de Estado em Sistemas Elétricos de Potência, é um problema de otimização multiobjetivo, combinatório, que exige a investigação de um grande número de possíveis soluções. Dessa forma, metaheurísticas vêm sendo empregadas para sua solução. Entretanto, a maioria delas trata o problema de forma mono-objetivo e as poucas que consideram uma formulação multiobjetivo, não contemplam todos os requisitos de desempenho que devem ser atendidos para obtenção de um Sistema de Medição Confiável (SMC) (observabilidade e ausência de Medidas
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Zhang, Xuan. "High Precision Dynamic Power System Frequency Estimation Algorithm Based on Phasor Approach." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/31001.

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An internet-based, real-time, Global Positioning System (GPS) ---synchronized relative to the wide-area frequency-monitoring network (FNET) ---has been developed at Virginia Tech. In this FNET system, an algorithm that employs the relationship between phasor angles and deviated frequency [13] is used to calculate both frequency and its rate of change. Tests of the algorithm disclose that, for non-pure sinusoidal input (as compared to pure sinusoidal input), significant errors in the output frequency will result. Three approaches for increasing the accuracy of the output frequency were compared
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Hussain, Zahir M. "Adaptive instantaneous frequency estimation: Techniques and algorithms." Thesis, Queensland University of Technology, 2002. https://eprints.qut.edu.au/36137/7/36137_Digitised%20Thesis.pdf.

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This thesis deals with the problem of the instantaneous frequency (IF) estimation of sinusoidal signals. This topic plays significant role in signal processing and communications. Depending on the type of the signal, two major approaches are considered. For IF estimation of single-tone or digitally-modulated sinusoidal signals (like frequency shift keying signals) the approach of digital phase-locked loops (DPLLs) is considered, and this is Part-I of this thesis. For FM signals the approach of time-frequency analysis is considered, and this is Part-II of the thesis. In part-I we have uti
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Deng, Zhi-De. "Stochastic chaos and thermodynamic phase transitions : theory and Bayesian estimation algorithms." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41649.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.<br>Includes bibliographical references (p. 177-200).<br>The chaotic behavior of dynamical systems underlies the foundations of statistical mechanics through ergodic theory. This putative connection is made more concrete in Part I of this thesis, where we show how to quantify certain chaotic properties of a system that are of relevance to statistical mechanics and kinetic theory. We consider the motion of a particle trapped in a double-well potential coupled to a noisy e
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Forbush, Taylor R. "Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2471.

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Currently there are several methods to measure the performance of surface streets, but their capabilities in dynamically estimating vehicle delay are limited. The objective of this research is to develop a method to automate traffic delay estimation in real-time using existing field traffic data collection technologies. This research has focused on method and algorithm development that can be applied to existing technologies. Two algorithms were developed to run automatically using Microsoft Excel and Visual Basic to calculate traffic delay from data collected from existing vehicle detection.
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Robie, Taylor A. "Improved Electrolyte-NRTL Parameter Estimation Using a Combined Chemical and Phase Equilibrium Algorithm." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368027260.

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Marsolla, Rafael. "Estimação fasorial em tempo real utilizando um algoritmo genético compacto multiobjetivo." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-02062015-151039/.

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A medição fasorial sincronizada é utilizada hoje como forma de aprimorar a operação de um Sistema Elétrico de Potência (SEP), empregando unidades de medição fasorial estrategicamente localizadas e instaladas. Estas realizam a aquisição do sinal elétrico e posteriormente a estimação dos fasores de tensão e corrente sincronizados no tempo, os quais indicam o comportamento do SEP em uma localidade específica. Este trabalho multidisciplinar propõe a análise e implementação de um método computacional evolutivo, o Algoritmo Genético Compacto Multiobjetivo (AGCM) aplicado ao problema de medição fasor
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Ahmadi, Abhari Seyed Hamed. "Quantum Algorithms for: Quantum Phase Estimation, Approximation of the Tutte Polynomial and Black-box Structures." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5096.

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In this dissertation, we investigate three different problems in the field of Quantum computation. First, we discuss the quantum complexity of evaluating the Tutte polynomial of a planar graph. Furthermore, we devise a new quantum algorithm for approximating the phase of a unitary matrix. Finally, we provide quantum tools that can be utilized to extract the structure of black-box modules and algebras. While quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT)) is highly con
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Books on the topic "Phasor Estimation Algorithms"

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R, Kumar. A novel multistage estimation of the signal parameters of a possibly data-modulated sinusoid under very high dynamics. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.

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Allen, Michael P., and Dominic J. Tildesley. Monte Carlo methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0004.

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The estimation of integrals by Monte Carlo sampling is introduced through a simple example. The chapter then explains importance sampling, and the use of the Metropolis and Barker forms of the transition matrix defined in terms of the underlying matrix of the Markov chain. The creation of an appropriately weighted set of states in the canonical ensemble is described in detail and the method is extended to the isothermal–isobaric, grand canonical and semi-grand ensembles. The Monte Carlo simulation of molecular fluids and fluids containing flexible molecules using a reptation algorithm is discu
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Book chapters on the topic "Phasor Estimation Algorithms"

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Thiab, Omar Sami, Łukasz Nogal, and Ryszard Kowalik. "Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38752-5_9.

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Gu, Shuangshuang, Hang Long, and Qian Li. "Phase Noise Estimation and Compensation Algorithms for 5G Systems." In Communications and Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_54.

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Chareton, Christophe, Sébastien Bardin, François Bobot, Valentin Perrelle, and Benoît Valiron. "An Automated Deductive Verification Framework for Circuit-building Quantum Programs." In Programming Languages and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_6.

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AbstractWhile recent progress in quantum hardware open the door for significant speedup in certain key areas, quantum algorithms are still hard to implement right, and the validation of such quantum programs is a challenge. In this paper we propose Qbricks, a formal verification environment for circuit-building quantum programs, featuring both parametric specifications and a high degree of proof automation. We propose a logical framework based on first-order logic, and develop the main tool we rely upon for achieving the automation of proofs of quantum specification: PPS, a parametric extension of the recently developed path sum semantics. To back-up our claims, we implement and verify parametric versions of several famous and non-trivial quantum algorithms, including the quantum parts of Shor’s integer factoring, quantum phase estimation (QPE) and Grover’s search.
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Cheng, Hsien-Wen, and Lan-Rong Dung. "EFBLA: A Two-Phase Matching Algorithm for Fast Motion Estimation." In Advances in Multimedia Information Processing — PCM 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_15.

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Prokopenya, Alexander N. "Approximate Quantum Fourier Transform and Quantum Algorithm for Phase Estimation." In Computer Algebra in Scientific Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24021-3_29.

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Punnapala, Sameer, Francisco M. Vargas, and Ali Elkamel. "Parameter Estimation in Phase Equilibria Calculations Using Multi-Objective Evolutionary Algorithms." In Multi-Objective Optimization in Chemical Engineering. John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118341704.ch9.

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Nagashima, Sei, Koichi Ito, Takafumi Aoki, Hideaki Ishii, and Koji Kobayashi. "A High-Accuracy Rotation Estimation Algorithm Based on 1D Phase-Only Correlation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74260-9_19.

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Yang, Xiaolong, Yuan She, Jiacheng Wang, Mu Zhou, and Zengshan Tian. "A Novel AoA Estimation Algorithm Based on Phase Compensation of Linear Array." In Wireless and Satellite Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_17.

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Tan, Chee Sheng, Rosmiwati Mohd-Mokhtar, and Mohd Rizal Arshad. "Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation." In Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3708-6_26.

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Grani, Fabrizio, Cristina Soto-Sanchez, Alfonso Rodil Doblado, et al. "Performance Evaluation of a Real-Time Phase Estimation Algorithm Applied to Intracortical Signals from Human Visual Cortex." In Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06242-1_51.

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Conference papers on the topic "Phasor Estimation Algorithms"

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Kovacic, Marko, Marko Jurcevic, Roman Malaric, and Antonijo Kunac. "A Review of Phasor Estimation Algorithms." In 2020 3rd International Colloquium on Intelligent Grid Metrology (SMAGRIMET). IEEE, 2020. http://dx.doi.org/10.23919/smagrimet48809.2020.9264012.

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Godse, Revati, and Sunil Bhat. "Comparative Evaluation of DFT-based Phasor Estimation Algorithms." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9008933.

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Qian, Cheng, and Mladen Kezunovic. "Hybridization Framework for Improved Dynamic Phasor Parameter Estimation Algorithms." In 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2019. http://dx.doi.org/10.1109/isgt.2019.8791633.

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Silva, Kleber M., and Francisco A. O. Nascimento. "Phasor Estimation Algorithms Based on the Discrete Hartley Transform." In 2020 Workshop on Communication Networks and Power Systems (WCNPS). IEEE, 2020. http://dx.doi.org/10.1109/wcnps50723.2020.9263728.

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Dragomir, Marian, Anamaria Iamandi, Marcel Istrate, and Alin Dragomir. "A review of phasor estimation algorithms for power system applications." In 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 2019. http://dx.doi.org/10.1109/isgteurope.2019.8905591.

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Abood, Hatim G., Hassan Al-Saadi, and Ghassan Abdullah Salman. "Assessing Algorithms of Phasor Measurements Optimal Placement for State Estimation." In 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET). IEEE, 2019. http://dx.doi.org/10.1109/csudet47057.2019.9214675.

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Silva, Kleber, and Francisco Nascimento. "Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586331.

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Godse, Revati, and Sunil Bhat. "Comprehensive Study and Analysis of Frequency and Phasor Estimation Algorithms." In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE, 2020. http://dx.doi.org/10.1109/pesgre45664.2020.9070572.

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Barchi, Grazia, David Macii, and Dario Petri. "Phasor measurement units for smart grids: Estimation algorithms and performance issues." In 2013 Convegno Nazionale AEIT: Innovation and Scientific and Technical Culture for Development (AEIT). IEEE, 2013. http://dx.doi.org/10.1109/aeit.2013.6666790.

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Martinez, M. R., and D. G. Colome. "Performance of phasor estimation algorithms in instability cases of electric power systems." In 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). IEEE, 2017. http://dx.doi.org/10.1109/isgt-la.2017.8126741.

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Reports on the topic "Phasor Estimation Algorithms"

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Eichel, P. H. The phase gradient autofocus algorithm: An optimal estimator of the phase derivative. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5609345.

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