Academic literature on the topic 'Synchrophaseur'

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Journal articles on the topic "Synchrophaseur"

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Adewole, Adeyemi Charles, and Raynitchka Tzoneva. "Conformance Testing and Analysis of Synchrophasor Communication Message Structures and Formats for Wide Area Measurement Systems in Smart Grids." International Journal of Advances in Applied Sciences 6, no. 2 (2017): 106. http://dx.doi.org/10.11591/ijaas.v6.i2.pp106-116.

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The renewed quest for situational awareness in power systems has brought about the use of digital signal processing of power system measurements, and the transmission of such data to control centres via communication networks. At the control centres, power system stability algorithms are executed to provide monitoring, protection, and control in order to prevent blackouts. This can be achieved by upgrading the existing Supervisory Control and Data Acquisition (SCADA) systems through the deployment of newly proposed power system synchrophasor-based applications for Wide Area Monitoring, Protect
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Zseby, Tanja, Joachim Fabini, and Dipika Rani. "Synchrophasor communication." e & i Elektrotechnik und Informationstechnik 131, no. 1 (2013): 8–13. http://dx.doi.org/10.1007/s00502-013-0193-6.

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Kunac, Antonijo, Marin Despalatović, and Dario Šantić. "Synchrophasors Determination Based on Interpolated FFT Algorithm." Journal of Energy - Energija 69, no. 1 (2020): 7–12. http://dx.doi.org/10.37798/202069133.

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Within the standard IEEE C37.118 applications and proposed hardware structure of a phasor measurement unit (PMU) are described. This paper presents the concept of the system for measuring and transferring synchrophasors from a theoretical aspect. Synchrophasor algorithms are developed in MATLAB/Simulink for the purpose of easier verification and hardware deployment on today’s market available and affordable real time development kits. Analysis of the synchrophasor measurement process is performed gradually. Firstly, by defining the synchrophasor based on three-phase to αβ-transformation and th
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Kummerow, Andre, Cristian Monsalve, Christoph Brosinsky, Steffen Nicolai, and Dirk Westermann. "A Novel Framework for Synchrophasor Based Online Recognition and Efficient Post-Mortem Analysis of Disturbances in Power Systems." Applied Sciences 10, no. 15 (2020): 5209. http://dx.doi.org/10.3390/app10155209.

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Synchrophasor based applications become more and more popular in today’s control centers to monitor and control transient system events. This can ensure secure system operation when dealing with bidirectional power flows, diminishing reserves and an increased number of active grid components. Today’s synchrophasor applications provide a lot of additional information about the dynamic system behavior but without significant improvement of the system operation due to the lack of interpretable and condensed results as well as missing integration into existing decision-making processes. This study
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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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Castello, Paolo, Carlo Muscas, Paolo Attilio Pegoraro, and Sara Sulis. "Low-cost implementation and characterization of an active phasor data concentrator." ACTA IMEKO 8, no. 2 (2019): 21. http://dx.doi.org/10.21014/acta_imeko.v8i2.625.

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The main components of an advanced measurement system based on synchrophasor technology for the monitoring of power systems are the phasor measurement unit (PMU), which represents the ‘sensor’, and the phasor data concentrator (PDC), which collects the data forwarded by PMUs installed on the field. For the purpose of extending the benefit of synchrophasor technology from transmission grids to distribution networks, different projects are seeking to use low-cost platforms to design devices with PMU functionalities. In this perspective, in order to achieve a complete synchrophasor-based measurem
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Chen, Lei, Wei Zhao, Fuping Wang, Qing Wang, and Songling Huang. "Enhanced Interpolated Dynamic DFT Synchrophasor Estimator Considering Second Harmonic Interferences." Sensors 18, no. 9 (2018): 2748. http://dx.doi.org/10.3390/s18092748.

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In the future, phasor measurement units are expected to be applied in distribution networks (DNs) for their control and monitoring. Because of the widely used power electronic devices in DNs, harmonics are widely present in a voltage/current signal. Particularly, second harmonics have the most significant uncertainty contributions to synchrophasor estimation, which is especially true when a short cycle observation window is used for a fast response. Based on the interpolated dynamic discrete Fourier transform (IpD 2 FT), this paper introduces an enhanced IpD 2 FT (e-IpD 2 FT) synchrophasor est
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Castello, Paolo, Carlo Muscas, Paolo Pegoraro, and Sara Sulis. "PMU’s Behavior with Flicker-Generating Voltage Fluctuations: An Experimental Analysis." Energies 12, no. 17 (2019): 3355. http://dx.doi.org/10.3390/en12173355.

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Phasor measurement units (PMUs), which are the key components of a synchrophasor-based wide area monitoring system (WAMS), were historically conceived for transmission networks. The current trend to extend the benefits of the synchrophasor technology to distribution networks requires the PMU to also provide trustworthy information in the presence of signals that can occur in a typical distribution grid, including the presence of severe power quality (PQ) issues. In this framework, this paper experimentally investigates the performance of PMUs in the presence of one of the most important PQ phe
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Subramanian, Karthikeyan, and Ashok Kumar Loganathan. "Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation." Energies 13, no. 19 (2020): 5180. http://dx.doi.org/10.3390/en13195180.

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Distributed Generation (DG) has changed the power generation system to small-scale instead of large-scale generation. The demanding issue with the interconnection of DG is the detection of unintended islanding in a network. Several methods proposed in the literature show drawbacks such as high non-detection zones (NDZ) and higher tripping time. In this paper, the IEEE 13 bus distribution network with DGs like wind and solar power plants is integrated at two buses. Islanding is detected by utilizing data from a micro-synchrophasor located at the distribution grid and the DG. The micro-synchroph
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Mokeev, Alexey V., Sergey A. Piskunov, Dmitry N. Ulyanov, and Evgeniy I. Khromtsov. "Improving the efficiency and reliability of RPA systems of digital step-down substations and digital grids." E3S Web of Conferences 216 (2020): 01044. http://dx.doi.org/10.1051/e3sconf/202021601044.

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The article discusses examples of synchrophasor measurement (SPM) technology application for implementation of inherently selective protection for 35-220 kV step-down substations and 6-20 kV distribution points.
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Dissertations / Theses on the topic "Synchrophaseur"

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Frazao, Rodrigo José Albuquerque. "PMU based situation awareness for smart distribution grids." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT061/document.

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Une infrastructure robuste de surveillance basée sur des mesures numériques classiques est souvent utilisée pour permettre une gestion efficace du réseau de distribution électrique, néanmoins les mesures de phaseurs synchronisés, également connu comme synchrophaseurs, sont particulièrement efficaces pour améliorer la capacité de gestion et la surveillance de ces réseaux. Le synchrophaseur est un phaseur numériquement calculé à partir des échantillons de données en utilisant une source temporelle absolue pour un horodatage extrêmement précis des mesures effectuées.De ce fait, les applications d
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Vutsinas, Megan. "Contingency analysis using synchrophasor measurements." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1233080600/.

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Zhang, Yingchen. "New Methods for Synchrophasor Measurement." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77297.

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Recent developments in smart grid technology have spawned interest in the use of phasor measurement units to help create a reliable power system transmission and distribution infrastructure. Wide-area monitoring systems (WAMSs) utilizing synchrophasor measurements can help with understanding, forecasting, or even controlling the status of power grid stability in real-time. A power system Frequency Monitoring Network (FNET) was first proposed in 2001 and was established in 2004. As a pioneering WAMS, it serves the entire North American power grid through advanced situational awareness technique
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Ritzmann, Deborah. "Synchrophasor-based overhead line impedance monitoring." Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/74320/.

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Thermal limits of overhead transmission lines create network constraints that can result in curtailment of renewable energy generation. Thermal limits are conventionally static and based on worst-case, non-cooling ambient weather conditions, leading to under-utilization of overhead lines. Utilization can be increased and network constraints reduced by rating overhead lines dynamically, based on actual conductor temperature. Installation and maintenance of temperature and weather sensors along an overhead line is expensive and laborious. A more cost-effective solution is to derive average condu
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Agatep, Allan. "Voltage Stability Analysis Using Simulated Synchrophasor Measurements." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/957.

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An increase in demand for electric power has forced utility transmission systems to continuously operate under stressed conditions, which are close to instability limits. Operating power systems under such conditions along with inadequate reactive power reserves initiates a sequence of voltage instability points and can ultimately lead to a system voltage collapse. Significant research have been focused on time-synchronized measurements of power systems which can be used to frequently determine the state of a power system and can lead to a more robust protection, control and operation performa
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Quint, Ryan David. "Response-Based Synchrophasor Controls for Power Systems." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/50576.

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The electric power grid is operated with exceptionally high levels of reliability, yet recent large-scale outages have highlighted areas for improvement in operation, control, and planning of power systems.  Synchrophasor technology may be able to address these concerns, and Phasor Measurement Units (PMUs) are actively being deployed across the Western Interconnection and North America.  Initiatives such as the Western Interconnection Synchrophasor Program (WISP) are making significant investments PMUs with the expectation that wide-area, synchronized, high-resolution measurements will improve
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Jones, Kevin David. "Synchrophasor-Only Dynamic State Estimation & Data Conditioning." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51548.

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A phasor-only estimator carries with it intrinsic improvements over its SCADA analogue with respect to performance and reliability. However, insuring the quality of the data stream which leaves the linear estimator is crucial to establishing it as the front end of an EMS system and network applications which employ synchrophasor data. This can be accomplished using a two-fold solution: the pre-processing of phasor data before it arrives at the linear estimator and the by developing a synchrophasor-only dynamic state estimator as a mechanism for bad data detection and identification. In order t
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Barik, Tapas Kumar. "Synchrophasor Based Centralized Remote Synchroscope for Power System Restoration." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/82849.

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The process of Synchronization between two buses in a power system plays a vital role, especially during blackstart or bulk power system restoration period. The synchronization process is primarily monitored in the presence of experienced personnel at the substation level, which might not control or even predict the after effects of synchronization as soon as the synchronizing breaker between the two buses respective to the two islands is closed. However, with the advent of phasor measurement units (PMUs) providing time synchronized synchrophasor data, synchroscope functionality can now be imp
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Huang, Ruth Christiana. "Designing Anti-Islanding Detection Using the Synchrophasor Vector Processor." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1001.

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ABSTRACT Designing Anti-Islanding Detection Using the Synchrophasor Vector Processor Ruth Huang The need for distributed generation (DG) has become more and more popular because of the adverse effects of fossil fuels and the fear of running out of fossil fuels. By having DG, there are less transmission losses, voltage support, controllability of the system, decreased costs in transmission and distribution, power quality improvement, energy efficiency, and reduced reserve margin. The adverse effects of DG are voltage flicker, harmonics, and islanding. Islanding occurs when the DG continues to e
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Retty, Hema. "Load Modeling using Synchrophasor Data for Improved Contingency Analysis." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/78328.

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For decades, researchers have sought to make the North American power system as reliable as possible with many security measures in place to include redundancy. Yet the increasing number of blackouts and failures have highlighted the areas that require improvement. Meeting the increasing demand for energy and the growing complexity of the loads are two of the main challenges faced by the power grid. In order to prepare for contingencies and maintain a secure state, power engineers must perform simulations using steady state and dynamic models of the system. The results from the contingency stu
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Books on the topic "Synchrophaseur"

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Nuthalapati, Sarma, ed. Power System Grid Operation Using Synchrophasor Technology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-89378-5.

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Sauer, Peter W., M. A. Pai, and Joe H. Chow. Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox 2e. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119355755.

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Nuthalapati, Sarma (NDR). Power System Grid Operation Using Synchrophasor Technology. Springer, 2018.

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Nuthalapati, Sarma (NDR). Power System Grid Operation Using Synchrophasor Technology. Springer, 2018.

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Chow, Joe H., Peter W. Sauer, and M. A. Pai. Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox. Wiley & Sons, Incorporated, John, 2017.

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Chow, Joe H., Peter W. Sauer, and M. A. Pai. Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox. Wiley & Sons, Incorporated, John, 2017.

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Chow, Joe H., Peter W. Sauer, and M. A. Pai. Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox. Wiley-Interscience, 2017.

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Book chapters on the topic "Synchrophaseur"

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Logic, Naim. "Synchrophasor Measurements." In Power Electronics and Power Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17190-6_3.

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Kosterev, Dmitry. "Synchrophasor Technology at BPA." In Power Electronics and Power Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89378-5_4.

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Thomas, Brian, and Slaven Kincic. "Model Validation Using Synchrophasor Technology." In Power Electronics and Power Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89378-5_18.

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Zhang, Hongming. "Implementing Synchrophasor Applications for Grid Monitoring." In Advanced Power Applications for System Reliability Monitoring. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44544-7_6.

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Khalkho, Anant Milan, and Dusmanta Kumar Mohanta. "Operational Resiliency Enhancement Using Synchrophasor Measurement." In Advances in Smart Grid Automation and Industry 4.0. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7675-1_61.

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Singh, Iknoor, Ken Martin, Neeraj Nayak, Ian Dobson, Anthony Faris, and Atena Darvishi. "Voltage Stability Assessment Using Synchrophasor Technology." In Power Electronics and Power Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67482-3_20.

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Litvinov, Eugene, Xiaochuan Luo, Qiang Zhang, et al. "A Cloud-Hosted Synchrophasor Data Sharing Platform." In Power Electronics and Power Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89378-5_20.

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Bonian, Shi. "Use of Synchrophasor Measurement Technology in China." In Power Electronics and Power Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89378-5_5.

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Dagle, Jeff. "Importance of Synchrophasor Technology in Managing the Grid." In Power Electronics and Power Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89378-5_1.

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Jones, Kevin D., and Alireza Rouhani. "Synchrophasor-Based Linear State Estimation Techniques and Applications." In Power Electronics and Power Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89378-5_13.

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Conference papers on the topic "Synchrophaseur"

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Kirihara, Kenta, Karl E. Reinhard, Yang Liu, and Peter W. Sauer. "Synchrophasor visualizer." In 2015 IEEE Power and Energy Conference at Illinois (PECI). IEEE, 2015. http://dx.doi.org/10.1109/peci.2015.7064880.

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Meliopoulos, A. P. Sakis, and George J. Cokkinides. "Advanced synchrophasor applications." In Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5590037.

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Phunkasem, Phanuwat, Wijarn Wangdee, Bo Sriraphanth, and Bundit Tanboonjit. "Synchrophasor data availability analyzer." In 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2016. http://dx.doi.org/10.1109/pmaps.2016.7764090.

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Dagle, J. E. "North American SynchroPhasor Initiative." In 2008 41st Annual Hawaii International Conference on System Sciences. IEEE, 2008. http://dx.doi.org/10.1109/hicss.2008.328.

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Bilik, P., P. Repka, and M. Malohlava. "Virtual synchrophasor monitoring network." In 2012 IEEE International Conference on Power System Technology (POWERCON 2012). IEEE, 2012. http://dx.doi.org/10.1109/powercon.2012.6401463.

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Schweitzer, Edmund O., and David E. Whitehead. "Real-world synchrophasor solutions." In 2009 62nd Annual Conference for Protective Relay Engineers. IEEE, 2009. http://dx.doi.org/10.1109/cpre.2009.4982540.

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Wells, C. H., A. Moore, Kari Tjader, and Wayne Isaacs. "Cyber secure synchrophasor platform." In 2011 IEEE/PES Power Systems Conference and Exposition (PSCE). IEEE, 2011. http://dx.doi.org/10.1109/psce.2011.5772577.

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Das, Sarasij, and Tarlochan Sidhu. "A new algorithm to compute fault synchrophasor from transient state synchrophasor in PDC." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672095.

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Pena, P., A. Etxegarai, L. Valverde, I. Zamora, and R. Cimadevilla. "Synchrophasor-based anti-islanding detection." In 2013 IEEE Grenoble PowerTech. IEEE, 2013. http://dx.doi.org/10.1109/ptc.2013.6652280.

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Zhao, Power Qing, Christopher Weldy, and David Bogen. "A localized synchrophasor measurement system." In 2014 IEEE Power & Energy Society General Meeting. IEEE, 2014. http://dx.doi.org/10.1109/pesgm.2014.6939450.

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Reports on the topic "Synchrophaseur"

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Ren, Huiying, Zhangshuan Hou, Heng Wang, and Pavel Etingov. Machine Learning for Synchrophasor Analysis. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1673617.

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Muljadi, E., Y. C. Zhang, A. Allen, M. Singh, V. Gevorgian, and Y. H. Wan. Synchrophasor Applications for Wind Power Generation. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1126317.

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Etingov, Pavel, James Follum, Urmila Agrawal, et al. Open Source Suite for Advanced Synchrophasor Analysis. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1673609.

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Liu, Yilu, Jose R. Gracia, Paul D. Ewing, et al. Impact of Measurement Error on Synchrophasor Applications. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1212367.

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Taft, Jeffrey D. Assessment of Existing Synchrophasor Networks (Final, Version 0.5). Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1523382.

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Robertson, Russell. Advanced Synchrophasor Protocol (ASP) Development and Demonstration Project. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1597102.

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Mix, Scott R., Harold Kirkham, and Alison Silverstein. Recommended Guidelines for NERC CIP Compliance for Synchrophasor Systems. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1411938.

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Robertson, Russell. Open and Extensible Control & Analytics Platform for Synchrophasor Data. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1468940.

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Phadke, A. G., James Thorp, Virgilio Centeno, et al. Synchrophasor Based Tracking Three-Phase State Estimator and It's Applications. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1128928.

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Stewart, Emma, Sila Kiliccote, Charles McParland, and Ciaran Roberts. Using Micro-Synchrophasor Data for Advanced Distribution Grid Planning and Operations Analysis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1236369.

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