Literatura académica sobre el tema "Phasor Estimation Algorithms"
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Artículos de revistas sobre el tema "Phasor Estimation Algorithms"
Zhao, Dongfang, Fuping Wang, Shisong Li, Wei Zhao, Lei Chen, Songling Huang, Shen Wang y Haitao Li. "An Optimization of Least-Square Harmonic Phasor Estimators in Presence of Multi-Interference and Harmonic Frequency Variance". Energies 16, n.º 8 (12 de abril de 2023): 3397. http://dx.doi.org/10.3390/en16083397.
Texto completoChukkaluru, Sai Lakshmi y 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, n.º 1 (28 de febrero de 2023): 248548. http://dx.doi.org/10.37936/ecti-eec.2023211.248548.
Texto completoGiotopoulos, Vasilis y Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review". Energies 16, n.º 14 (18 de julio de 2023): 5465. http://dx.doi.org/10.3390/en16145465.
Texto completoTajdinian, Mohsen, Shahram Montaser Kouhsari, Kazem Mohseni y 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, n.º 1 (4 de enero de 2016): 270–88. http://dx.doi.org/10.1108/compel-01-2015-0009.
Texto completoBinek, Malgorzata, Andrzej Kanicki y Pawel Rozga. "Application of an Artificial Neural Network for Measurements of Synchrophasor Indicators in the Power System". Energies 14, n.º 9 (30 de abril de 2021): 2570. http://dx.doi.org/10.3390/en14092570.
Texto completoOlarte Dussán, Fredy Andrés, Carlos Eduardo Borda Zapata y Hernando Díaz Morales. "State Estimation-based Transmission line parameter identification". Ingeniería e Investigación 30, n.º 1 (1 de enero de 2010): 56–63. http://dx.doi.org/10.15446/ing.investig.v30n1.15208.
Texto completoFrigo, Guglielmo, Paolo Attilio Pegoraro y Sergio Toscani. "Low-Latency, Three-Phase PMU Algorithms: Review and Performance Comparison". Applied Sciences 11, n.º 5 (4 de marzo de 2021): 2261. http://dx.doi.org/10.3390/app11052261.
Texto completoYang, Xuan, Xiao-Ping Zhang y Suyang Zhou. "Coordinated algorithms for distributed state estimation with synchronized phasor measurements". Applied Energy 96 (agosto de 2012): 253–60. http://dx.doi.org/10.1016/j.apenergy.2011.11.010.
Texto completoSilva, K. M. y F. A. O. Nascimento. "Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications". IEEE Transactions on Power Delivery 33, n.º 3 (junio de 2018): 1165–73. http://dx.doi.org/10.1109/tpwrd.2017.2738621.
Texto completoMacii, David, Daniel Belega y Dario Petri. "IpDFT-Tuned Estimation Algorithms for PMUs: Overview and Performance Comparison". Applied Sciences 11, n.º 5 (5 de marzo de 2021): 2318. http://dx.doi.org/10.3390/app11052318.
Texto completoTesis sobre el tema "Phasor Estimation Algorithms"
Guo, Hengdao. "Frequency Tracking and Phasor Estimation Using Least Squares and Total Least Squares Algorithms". UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/57.
Texto completoKamireddy, 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.
Texto completoVigliassi, 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/.
Texto completoMetering system planning for power system state estimation is a multi-objective, combinatorial optimization problem that may require the investigation of many possible solutions. As a consequence, meta-heuristics have been employed to solve the problem. However in the majority of them the multi-objective problem is converted in a mono-objective problem and those few considering a multi-objective formulation do not consider all the performance requirements that must be attended in order to obtain a Reliable Metering System (RMS) (system observability and absence of Critical Measurements, Critical Sets, Critical Remote Terminal Units and Critical Phasor Measurement Units). This thesis proposes a multi-objective formulation for the metering system planning problem in a wide way, that is, considering all the performance requirements that must be attended to obtain a RMS. This thesis also proposes the development and implementation, in computer, of a method to solve the metering system planning problem, considering the trade-off between the two conflicting objectives of the problem (minimizing cost while maximizing the performance requirements) making use of the concept of Pareto Frontier. The method allows, in only one execution, the project of four types of metering systems, from the analysis of non-dominated solutions. The method enable the design of new metering systems as well as the improvement of existing ones, considering the existence of only conventional SCADA measurements, or only synchronized phasor measurements or the existence of both types of measurements. The proposed method combines a multi-objective evolutionary algorithm based on subpopulation tables with the properties of the so-called HΔ matrix. The subpopulations tables adequately model several metering system performance requirements enabling a better exploration of the solution space. On the other hand, the properties of the HΔ matrix enable a local search that improves the evolutionary process and minimizes the computational effort. Simulations results with IEEE 6, 14, 30, 118 and 300-bus test systems and with a 61-bus system of Eletropaulo illustrate the efficiency of the proposed method. Some of the results of these simulations will be compared with those published in literature.
Zhang, Xuan. "High Precision Dynamic Power System Frequency Estimation Algorithm Based on Phasor Approach". Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/31001.
Texto completoMaster of Science
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.
Texto completoDeng, 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.
Texto completoIncludes bibliographical references (p. 177-200).
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 environment. By use of the classic Langevin and Fokker-Planck equations, we investigate Kramers' escape rate problem. We show that there is a deep analogy between kinetic rate theory and stochastic chaos, for which we propose a novel definition. In Part II, we develop techniques based on Volterra series modeling and Bayesian non-linear filtering to distinguish between dynamic noise and measurement noise. We quantify how much of the system's ergodic behavior can be attributed to intrinsic deterministic dynamical properties vis-a-vis inevitable extrinsic noise perturbations.
by Zhi-De Deng.
M.Eng.and S.B.
Forbush, Taylor R. "Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development". BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2471.
Texto completoRobie, 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.
Texto completoMarsolla, 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/.
Texto completoThe synchronized phasor measurement is used today as a way to enhance the operation of an Electric Power System (EPS), using phasor measurement units strategically located and installed. They perform the acquisition of the electrical signal and then, the estimation of the voltage and current phasors, synchronized in time, which indicates the SEPs behavior in a specific location. This multidisciplinary work proposes the analysis and implementation of an evolutionary computing method, the Multibjective Compact Genetic Algorithm (MCGA) applied to the phasor estimation method used in EPS, known as an Phasor Measurement Units (PMUs). The MCGA presented here has as a main characteristic the multiobjective analysis of the problem. Because all EPSs have three phases, this new approach is proposed , which is considering the phasor estimation for the three phases together, instead of doing it for each phase independently.Thus the proposed MCGA includes in its genetic mapping of individuals, the characteristics of the signals of the three phases, unlike the monoobjective where each phase of the Electric Power System (EPS) is modeled using a different individual. In order to ensure the effectiveness of the evolutionary method when operating in a real time scenario, a platform for data acquisition and processing is proposed, inspired by previous work, allowing the integration of all the modules that composes a PMU for real-time phasor analysis. A Global Positioning System (GPS) is proposed as a way to synchronize different PMUs, integrating pieces of equipment in a single time reference, with the precision required. In order to assist in the integration of the required modules, a library of functions developed in the Laboratory of Electric Power Systems will be expanded allowing the execution of the evolutionary method directly on a Field Programmable Gate Array (FPGA) interface, which will act as a genetic co-processor of a real-time platform. The results presented here were obtained following normative specifications, through signals generated synthetically, and also using the Alternative Transient Program (ATP), allowing more realistic tests to validate the evolutionary methods.
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.
Texto completoID: 031001318; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed March 27, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references (p. 82-86).
Ph.D.
Doctorate
Mathematics
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Mathematics
Libros sobre el tema "Phasor Estimation Algorithms"
R, Kumar. A novel multistage estimation of the signal parameters of a possibly data-modulated sinusoid under very high dynamics. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.
Buscar texto completoAllen, Michael P. y Dominic J. Tildesley. Monte Carlo methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0004.
Texto completoCapítulos de libros sobre el tema "Phasor Estimation Algorithms"
Thiab, Omar Sami, Łukasz Nogal y Ryszard Kowalik. "Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms". En Communications in Computer and Information Science, 110–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38752-5_9.
Texto completoGu, Shuangshuang, Hang Long y Qian Li. "Phase Noise Estimation and Compensation Algorithms for 5G Systems". En Communications and Networking, 551–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_54.
Texto completoChareton, Christophe, Sébastien Bardin, François Bobot, Valentin Perrelle y Benoît Valiron. "An Automated Deductive Verification Framework for Circuit-building Quantum Programs". En Programming Languages and Systems, 148–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_6.
Texto completoCheng, Hsien-Wen y Lan-Rong Dung. "EFBLA: A Two-Phase Matching Algorithm for Fast Motion Estimation". En Advances in Multimedia Information Processing — PCM 2002, 112–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_15.
Texto completoProkopenya, Alexander N. "Approximate Quantum Fourier Transform and Quantum Algorithm for Phase Estimation". En Computer Algebra in Scientific Computing, 391–405. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24021-3_29.
Texto completoPunnapala, Sameer, Francisco M. Vargas y Ali Elkamel. "Parameter Estimation in Phase Equilibria Calculations Using Multi-Objective Evolutionary Algorithms". En Multi-Objective Optimization in Chemical Engineering, 247–65. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118341704.ch9.
Texto completoNagashima, Sei, Koichi Ito, Takafumi Aoki, Hideaki Ishii y Koji Kobayashi. "A High-Accuracy Rotation Estimation Algorithm Based on 1D Phase-Only Correlation". En Lecture Notes in Computer Science, 210–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74260-9_19.
Texto completoYang, Xiaolong, Yuan She, Jiacheng Wang, Mu Zhou y Zengshan Tian. "A Novel AoA Estimation Algorithm Based on Phase Compensation of Linear Array". En Wireless and Satellite Systems, 179–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_17.
Texto completoTan, Chee Sheng, Rosmiwati Mohd-Mokhtar y Mohd Rizal Arshad. "Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation". En Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 315–22. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3708-6_26.
Texto completoGrani, Fabrizio, Cristina Soto-Sanchez, Alfonso Rodil Doblado, Maria Dolores Grima, Fernando Farfan, Mikel Val Calvo, Leili Soo et al. "Performance Evaluation of a Real-Time Phase Estimation Algorithm Applied to Intracortical Signals from Human Visual Cortex". En Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 516–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06242-1_51.
Texto completoActas de conferencias sobre el tema "Phasor Estimation Algorithms"
Kovacic, Marko, Marko Jurcevic, Roman Malaric y Antonijo Kunac. "A Review of Phasor Estimation Algorithms". En 2020 3rd International Colloquium on Intelligent Grid Metrology (SMAGRIMET). IEEE, 2020. http://dx.doi.org/10.23919/smagrimet48809.2020.9264012.
Texto completoGodse, Revati y Sunil Bhat. "Comparative Evaluation of DFT-based Phasor Estimation Algorithms". En 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9008933.
Texto completoQian, Cheng y Mladen Kezunovic. "Hybridization Framework for Improved Dynamic Phasor Parameter Estimation Algorithms". En 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2019. http://dx.doi.org/10.1109/isgt.2019.8791633.
Texto completoSilva, Kleber M. y Francisco A. O. Nascimento. "Phasor Estimation Algorithms Based on the Discrete Hartley Transform". En 2020 Workshop on Communication Networks and Power Systems (WCNPS). IEEE, 2020. http://dx.doi.org/10.1109/wcnps50723.2020.9263728.
Texto completoDragomir, Marian, Anamaria Iamandi, Marcel Istrate y Alin Dragomir. "A review of phasor estimation algorithms for power system applications". En 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 2019. http://dx.doi.org/10.1109/isgteurope.2019.8905591.
Texto completoAbood, Hatim G., Hassan Al-Saadi y Ghassan Abdullah Salman. "Assessing Algorithms of Phasor Measurements Optimal Placement for State Estimation". En 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET). IEEE, 2019. http://dx.doi.org/10.1109/csudet47057.2019.9214675.
Texto completoSilva, Kleber y Francisco Nascimento. "Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications". En 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586331.
Texto completoGodse, Revati y Sunil Bhat. "Comprehensive Study and Analysis of Frequency and Phasor Estimation Algorithms". En 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE, 2020. http://dx.doi.org/10.1109/pesgre45664.2020.9070572.
Texto completoBarchi, Grazia, David Macii y Dario Petri. "Phasor measurement units for smart grids: Estimation algorithms and performance issues". En 2013 Convegno Nazionale AEIT: Innovation and Scientific and Technical Culture for Development (AEIT). IEEE, 2013. http://dx.doi.org/10.1109/aeit.2013.6666790.
Texto completoMartinez, M. R. y D. G. Colome. "Performance of phasor estimation algorithms in instability cases of electric power systems". En 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.
Texto completoInformes sobre el tema "Phasor Estimation Algorithms"
Eichel, P. H. The phase gradient autofocus algorithm: An optimal estimator of the phase derivative. Office of Scientific and Technical Information (OSTI), septiembre de 1989. http://dx.doi.org/10.2172/5609345.
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