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Статті в журналах з теми "Phasor estimation"
Zhao, Dongfang, Fuping Wang, Shisong Li, Wei Zhao, Lei Chen, Songling Huang, Shen Wang, and Haitao Li. "An Optimization of Least-Square Harmonic Phasor Estimators in Presence of Multi-Interference and Harmonic Frequency Variance." Energies 16, no. 8 (April 12, 2023): 3397. http://dx.doi.org/10.3390/en16083397.
Повний текст джерелаChukkaluru, 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 (February 28, 2023): 248548. http://dx.doi.org/10.37936/ecti-eec.2023211.248548.
Повний текст джерелаGuo, Yufu, Hang Xu, and Aobing Chi. "Broadband Dynamic Phasor Measurement Method for Harmonic Detection." Electronics 11, no. 11 (May 24, 2022): 1667. http://dx.doi.org/10.3390/electronics11111667.
Повний текст джерелаGiotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (July 18, 2023): 5465. http://dx.doi.org/10.3390/en16145465.
Повний текст джерелаParthasarathy, Hari Krishna Achuthan, Madhusudan Saranathan, Adhitya Ravi, M. C. Lavanya, and V. Rajini. "Comparative Analysis of Phasor Estimation Techniques for PMU Applications." Journal of Physics: Conference Series 2325, no. 1 (August 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2325/1/012010.
Повний текст джерелаLiu, Min. "Distribution System State Estimation with Phasor Measurement Units." Applied Mechanics and Materials 668-669 (October 2014): 687–90. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.687.
Повний текст джерелаXiao, Xianyong, Runze Zhou, Xiaoyang Ma, and Rui Xu. "Harmonic Phasor Estimation Method Considering Dense Interharmonic Interference." Entropy 25, no. 2 (January 27, 2023): 236. http://dx.doi.org/10.3390/e25020236.
Повний текст джерелаMejia-Barron, Arturo, David Granados-Lieberman, Jose Razo-Hernandez, Juan Amezquita-Sanchez, and Martin Valtierra-Rodriguez. "Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation." Electronics 8, no. 2 (January 29, 2019): 135. http://dx.doi.org/10.3390/electronics8020135.
Повний текст джерелаdelaOSerna, J. A. "Phasor Estimation From Phasorlets." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (February 2005): 134–43. http://dx.doi.org/10.1109/tim.2004.838914.
Повний текст джерелаChi, Aobing, Chengbi Zeng, Yufu Guo, and Hong Miao. "A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation." Entropy 24, no. 7 (July 17, 2022): 988. http://dx.doi.org/10.3390/e24070988.
Повний текст джерелаДисертації з теми "Phasor estimation"
Jones, Kevin David. "Three-Phase Linear State Estimation with Phasor Measurements." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32119.
Повний текст джерелаMaster of Science
Chen, Jian. "Accurate frequency estimation with phasor angles." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12042009-020203/.
Повний текст джерелаChen, Jiaxiong. "Power System State Estimation Using Phasor Measurement Units." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/35.
Повний текст джерелаZhou, Ming. "Advanced System Monitoring with Phasor Measurements." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27813.
Повний текст джерелаPh. D.
Khan, Muhammad Ayaz. "State Estimation and Voltage Phasor Measurements in Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Знайти повний текст джерелаHurtgen, Michaël. "Wide-area state estimation using synchronized phasor measurement units." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209924.
Повний текст джерелаThe classical state estimator currently used is based on SCADA (Supervisory Control and Data Acquisition) measurements. Weaknesses of the SCADA measurement system are the asynchronicity of the measurements, which introduce errors in the state estimation results during dynamic events on the electrical network.\\
Wide-area monitoring systems, consisting of a network of Phasor Measurement Units (PMU) provide synchronized phasor measurements, which give an accurate snapshot of the monitored part of the network at a given time. The objective of this thesis is to integrate PMU measurements in the state estimator. The proposed state estimators use PMU measurements exclusively, or both classical and PMU measurements.\\
State estimation is particularly useful to filter out measurement noise, detect and eliminate bad data. A sensitivity analysis to measurement errors is carried out for a state estimator using only PMU measurements and a classical state estimator. Measurement errors considered are Gaussian noise, systematic errors and asynchronicity errors. Constraints such as zero injection buses are also integrated in the state estimator. Bad data detection and elimination can be done before the state estimation, as in pre-estimation methods, or after, as in post-estimation methods. For pre-estimation methods, consistency tests are used. Another proposed method is validation of classical measurements by PMU measurements. Post-estimation is applied to a measurement set which has asynchronicity errors. Detection of a systematic error on one measurement in the presence of Gaussian noise is also analysed. \\
The state estimation problem can only be solved if the measurements are well distributed over the network and make the network observable. Observability is crucial when trying to solve the state estimation problem. A PMU placement method based on metaheuristics is proposed and compared to an integer programming method. The PMU placement depends on the chosen objective. A given PMU placement can provide full observability or redundancy. The PMU configuration can also take into account the zero injection nodes which further reduce the number of PMUs needed to observe the network. Finally, a method is proposed to determine the order of the PMU placement to gradually extend the observable island. \\
State estimation errors can be caused by erroneous line parameter or bad calibration of the measurement transformers. The problem in both cases is to filter out the measurement noise when estimating the line parameters or calibration coefficients and state variables. The proposed method uses many measurement samples which are all integrated in an augmented state estimator which estimates the voltage phasors and the additional parameters or calibration coefficients.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Yang, Xuan. "Distributed state estimation with the measurements of Phasor Measurement Units." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4479/.
Повний текст джерелаNuqui, Reynaldo Francisco. "State Estimation and Voltage Security Monitoring Using Synchronized Phasor Measurements." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28266.
Повний текст джерелаPh. D.
Wehbe, Yasser. "Model Estimation of Electric Power Systems by Phasor Measurement Units Data." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4419.
Повний текст джерелаTuku, Woldu. "Distributed state estimation using phasor measurement units (PMUs)for a system snapshot." Kansas State University, 2012. http://hdl.handle.net/2097/14129.
Повний текст джерелаDepartment of Electrical and Computer Engineering
Noel N. Schulz
As the size of electric power systems are increasing, the techniques to protect, monitor and control them are becoming more sophisticated. Government, utilities and various organizations are striving to have a more reliable power grid. Various research projects are working to minimize risks on the grid. One of the goals of this research is to discuss a robust and accurate state estimation (SE) of the power grid. Utilities are encouraging teams to change the conventional way of state estimation to real time state estimation. Currently most of the utilities use traditional centralized SE algorithms for transmission systems. Although the traditional methods have been enhanced with advancement in technologies, including PMUs, most of these advances have remained localized with individual utility state estimation. There is an opportunity to establish a coordinated SE approach integration using PMU data across a system, including multiple utilities and this is using Distributed State Estimation (DSE). This coordination will minimize cascading effects on the power system. DSE could be one of the best options to minimize the required communication time and to provide accurate data to the operators. This project will introduce DSE techniques with the help of PMU data for a system snapshot. The proposed DSE algorithm will split the traditional central state estimation into multiple local state estimations and show how to reduce calculation time compared with centralized state estimation. Additionally these techniques can be implemented in micro-grid or islanded system.
Книги з теми "Phasor estimation"
Singh, Hema, R. Chandini, and Rakesh Mohan Jha. RCS Estimation of Linear and Planar Dipole Phased Arrays: Approximate Model. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-754-3.
Повний текст джерелаTime-frequency analysis and synthesis of linear signal spaces: Time-frequency filters, signal detection and estimation, and range-Doppler estimation. Boston: Kluwer Academic Publishers, 1998.
Знайти повний текст джерелаManning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Знайти повний текст джерелаManning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Знайти повний текст джерелаManning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Знайти повний текст джерелаManning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Знайти повний текст джерелаLundin, Fredrik. Case studies in omniparametric simulation. Go̊teborg, Sweden: Dept. of Mathematical Sciences, Chalmers University of Technology and Göteborg University, 2006.
Знайти повний текст джерелаLaari, Arto. Gas-liquid mass transfer in bubbly flow: Estimation of mass transfer, bubble size and reactor performance in various applications. Lappeenranta: Lappeenranta University of Technology, 2005.
Знайти повний текст джерелаR, 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.
Знайти повний текст джерелаSatdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. xxu: Academus Publishing, 2019. http://dx.doi.org/10.31519/monography_1598.
Повний текст джерелаЧастини книг з теми "Phasor estimation"
Phadke, A. G., and J. S. Thorp. "Phasor Estimation of Nominal Frequency Inputs." In Power Electronics and Power Systems, 29–48. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76537-2_2.
Повний текст джерелаPhadke, Arun G., and James S. Thorp. "Phasor Estimation of Nominal Frequency Inputs." In Power Electronics and Power Systems, 29–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50584-8_2.
Повний текст джерелаPhadke, A. G., and J. S. Thorp. "Phasor Estimation at Off-Nominal Frequency Inputs." In Power Electronics and Power Systems, 49–79. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76537-2_3.
Повний текст джерелаPhadke, Arun G., and James S. Thorp. "Phasor Estimation at Off-Nominal Frequency Inputs." In Power Electronics and Power Systems, 47–72. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50584-8_3.
Повний текст джерелаJordaan, Jaco, Anton van Wyk, and Ben van Wyk. "Nonparametric Time-Varying Phasor Estimation Using Neural Networks." In Neural Information Processing, 693–702. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69162-4_72.
Повний текст джерелаShankar, Shiv, Vishal Rathore, K. B. Yadav, and Alok Priyadarshi. "State Estimation of Power Network Using Phasor Measurement." In Lecture Notes in Electrical Engineering, 63–74. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0193-5_6.
Повний текст джерелаThiab, Omar Sami, Łukasz Nogal, and Ryszard Kowalik. "Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms." In 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.
Повний текст джерелаAarthi, V., Ram Krishan, and Himanshu Grover. "State Estimation in Active Power Distribution Systems Using Phasor Measurement Units." In Lecture Notes in Electrical Engineering, 123–39. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0969-8_14.
Повний текст джерелаAlam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, and Sumit Banerjee. "Transmission Line Outage Estimation Through Bus Current Comparison Utilizing Current Phasor of PMU." In Lecture Notes in Electrical Engineering, 377–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7994-3_35.
Повний текст джерелаSaha, Soumili, Prateek Bose, and Sarita Nanda. "Phasor Estimation of Power Signals in a Smart Grid Environment Using Sigmoid Adaptive Filter." In Lecture Notes in Electrical Engineering, 487–93. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0749-3_36.
Повний текст джерелаТези доповідей конференцій з теми "Phasor estimation"
Bhonsle, J. S., and A. S. Junghare. "Phasor assisted state estimation." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375587.
Повний текст джерелаPaternina, M. R. A., A. Zamora, M. Ernesto Vazquez, and Juan M. Ramirez. "Phasor estimation under transient conditions." In 2015 IEEE Eindhoven PowerTech. IEEE, 2015. http://dx.doi.org/10.1109/ptc.2015.7232242.
Повний текст джерелаDaoud, George, Hany Selim, and Mohamed M. AbdelRaheem. "Micro Phasor Measurement Unit Phasor Estimation by off-Nominal Frequency." In 2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE). IEEE, 2018. http://dx.doi.org/10.1109/sege.2018.8499506.
Повний текст джерелаJones, Kevin D., James S. Thorp, and R. Matthew Gardner. "Three-phase linear state estimation using Phasor Measurements." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672516.
Повний текст джерелаAbur, Ali, and Floyd Galvan. "Synchro-Phasor Assisted State Estimation (SPASE)." In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 2012. http://dx.doi.org/10.1109/isgt.2012.6175559.
Повний текст джерелаPatel, Tapas Kumar, Sarat Chandra Swain, Prafulla Chandra Panda, and Subodh Kumar Mohanty. "Accurate phasor estimation during power swing." In 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2017. http://dx.doi.org/10.1109/ipact.2017.8244911.
Повний текст джерелаSodhi, Ranjana, S. C. Srivastava, and S. N. Singh. "Teager energy based dynamic phasor estimation." In 2012 Annual IEEE India Conference (INDICON). IEEE, 2012. http://dx.doi.org/10.1109/indcon.2012.6420792.
Повний текст джерелаKovacic, 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.
Повний текст джерелаRao, J. Ganeswara, and Ashok Kumar Pradhan. "Accurate phasor estimation during power swing." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741201.
Повний текст джерелаVats, Mansi, and Sangeeta Kamboj. "Application of phasor & frequency estimation techniques in phasor measurement unit." In 2016 7th India International Conference on Power Electronics (IICPE). IEEE, 2016. http://dx.doi.org/10.1109/iicpe.2016.8079490.
Повний текст джерелаЗвіти організацій з теми "Phasor estimation"
Choquette, Gary, and Nolan Choquette. PR-000-16600-R01 Correlative Estimation of Hydrocarbon Dewpoint. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2019. http://dx.doi.org/10.55274/r0011618.
Повний текст джерелаPeters, Keith, and Steven Kay. Unbiased Estimation of the Phase of a Sinusoid. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada525814.
Повний текст джерелаCumming, I. G., F. Wong, and R. K. Hawkins. RADARSAT Doppler Centroid Estimation Using Phase-Based Estimators. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219627.
Повний текст джерелаBlampied, Nigel, Tariq Shehab, Elhami Nasr, and Laxmi Sindhu Samudrala. Preconstruction Support Cost Hours Estimating on Caltrans Pavement Rehabilitation Projects. Mineta Transportation Institute, May 2023. http://dx.doi.org/10.31979/mti.2023.2148.
Повний текст джерелаTeti, Joseph G., and Jr. Basic Concepts of Spectral Estimation Using a Uniform Linear Phased Array. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada325809.
Повний текст джерелаNeuert, Mark, and Smitha Koduru. PR-244-173856-R01 In-line Inspection Crack Tool Reliability and Performance Evaluation. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2019. http://dx.doi.org/10.55274/r0011599.
Повний текст джерелаBajwa, Abdullah, Tim Kroeger, and Timothy Jacobs. PR-457-17201-R04 Residual Gas Fraction Estimation Based on Measured Engine Parameters - Phase IV. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2021. http://dx.doi.org/10.55274/r0012176.
Повний текст джерелаMaes, Marc. PR-328-133600-R02 Probabilistic Corrosion Growth Models and ILI-Based Estimation Procedures - Phase II. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2015. http://dx.doi.org/10.55274/r0010842.
Повний текст джерелаBajwa, Abdullah, and Timothy Jacobs. PR-457-17201-R01 Residual Gas Fraction Estimation Based on Measured In-Cylinder Pressure. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2018. http://dx.doi.org/10.55274/r0011519.
Повний текст джерелаBorden, Brett, and R. J. Dinger. Radar Inverse Scattering Using Statistical Estimation of the Echo Phase- Front Derivatives. Fort Belvoir, VA: Defense Technical Information Center, November 1986. http://dx.doi.org/10.21236/ada176598.
Повний текст джерела