Relevant bibliographies by topics / Synchrophaseur

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  2. Dissertations / Theses
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Academic literature on the topic 'Synchrophaseur'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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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 (June 1, 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, Protection, and Control (WAMPAC). However, this can only be done when there is a complete understanding of the methods and technologies associated with the communication network, message structure, and formats required. This paper presents an analysis of the IEEE C37.118 synchrophasor message framework, message formats, and data communication of synchrophasor measurements from Phasor Measurement Units (PMUs) for WAMPAC schemes in smart grids. A newly designed lab-scale testbed is implemented and used in the practical experimentation relating to this paper. Synchrophasor measurements from the PMUs are captured using a network protocol analyzer software-Wireshark, and the compliance of the synchrophasor message structures and formats captured was compared to the specifications defined in the IEEE C37.118 synchrophasor standard.
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Zseby, Tanja, Joachim Fabini, and Dipika Rani. "Synchrophasor communication." e & i Elektrotechnik und Informationstechnik 131, no. 1 (December 12, 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 (February 18, 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 then introducing a discrete Fourier transform (DFT) based on synchrophasor estimation algorithm. Later, accompanying adverse effects resulting from its application are analyzed by means of simulation. To increase accuracy and improve estimation algorithm interpolated discrete Fourier transform (IpDFT) with and without windowing technique is used. To further optimize algorithm performance convolution sum in recursive form has been implemented instead of classical DFT approach. This study was carried out in order to validate described measurement system for the monitoring of transients during island operation of a local power electric system. Finally, simulation and experimental results including error analysis are also presented.
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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 (July 28, 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 presents a holistic framework for novel machine learning based applications analyzing both historical as well as online synchrophasor data streams. Different methods from dimension reduction, anomaly detection as well as time series classification are used to automatically detect disturbances combined with a web-based online visualization tool. This enables automated decision-making processes in control centers to mitigate critical system states and to ensure secure system operations (e.g., by activating curate actions). Measurement and simulation-based results are presented to evaluate the proposed synchrophasor application modules for different use cases at the transmission and distribution level.
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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 (April 30, 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 method. The original components of the presented approach are: the method of the synchrophasor magnitude estimation by means of a suitably trained and applied radial basic function (RBF); the idea of using two algorithms operating simultaneously to estimate the synchrophasor magnitude, phase and frequency that apply identical calculation methods are different in that the first one filters the input signal using the FIR filter and the second one operates without any filter; and the algorithm calculating corrections of the phase shift between the input and output signal and the algorithm calculating corrections of the magnitude estimation. The error results obtained from the applied algorithms were compared with those of the quadrature filter method and the ones presented in literature, as well as with the permissible values of the errors. In all cases, these results were lower than the permissible values and at least equal to the values found in the literature.
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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 (June 27, 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 measurement architecture based on low-cost technologies, this work presents a PDC design based on a low-cost platform. Despite the simplicity of the considered hardware, advanced PDC functionalities and innovative control logics are implemented in the prototype. The proposed device is characterised by several experimental tests aimed at assessing its performance in terms of both time synchronisation and capability of managing several PMU data streams. The feasibility of some additional functionalities and control logics is evaluated in the context of different possible scenarios.
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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 (August 21, 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 estimator that considers second harmonic interferences. First, the adaptive equivalent filters of the IpD 2 FT are given. Based on these, the optimal frequencies where the IpD 2 FT has the least second harmonic interferences are then searched using an enumeration method, and the e-IpD 2 FT synchrophasor estimator is accordingly proposed. Instantaneous frequency responses and several simulation tests show that the e-IpD 2 FT performs much better than the IpD 2 FT in second harmonic suppression, and can meet the P-class response time requirements and most of the M-class accuracy requirements of the IEEE standard C37.118.1 only over a three-cycle window.
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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 (August 30, 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 phenomena, namely the presence of voltage fluctuations that generate the disturbance commonly known as flicker. The experimental tests are based on an ad-hoc high-accuracy measurement setup, where the devices under test are considered as “black boxes” to be characterized in the presence of the relevant signals. Two simple indices are introduced for the comparison among the different tested PMUs. The results of the investigation highlight possible critical situations in the interpretation of the measured values and provide a support for both the design of a new generation of PMUs and the possible development of an updated synchrophasor standard targeted to distribution systems.
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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 (October 5, 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-synchrophasor-based unintended islanding detection algorithm is based on parameters such as voltage, rate of change of voltage, frequency, rate of change of frequency, voltage phase angle difference and the rate of change of the voltage phase angle difference between the utility and the islanded grid. The proposed islanding detection algorithm discriminates between islanding and non-islanding conditions and is highly efficient under zero power mismatch conditions. The proposed method has null NDZ and satisfies the IEEE 1547 standard for DG tripping time. The effectiveness of the proposed IDM was verified when there are multiple DGs in the islanded grid. Also, the proposed method does not require additional hardware as it can be incorporated in digital relays with synchrophasor functionality.
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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 des synchrophaseurs sont très nombreuses dans les réseaux électriques, en particulier dans les réseaux de transport. Ils permettent notamment de mesurer la différence angulaire entre les noeuds, l'estimation d'état linéaire, détecter l'îlotage, surveiller la stabilité oscillatoire, et détecter et identifier les défauts. Ainsi, nous pourrions être amenés à croire que pour apporter les avantages bien connus des mesures synchronisées vers les réseaux de distribution électriques, il serait seulement nécessaire de placer les Unités de Mesure de Phaseur, également connu par l'abréviation anglophone PMU, d'une manière directe dans l'environnement de la distribution électrique. Malheureusement, cette tâchen'est pas aussi évidente qu'elle n'y paraît.Les réseaux de distribution électriques et les réseaux de transport ont des caractéristiques opérationnelles différentes, donc les PMUs dédiées aux réseaux de distribution doivent avoir des caractéristiques différentes de celles consacrées aux réseaux haute tension. Les réseaux de distribution intelligents possèdent des longueurs de ligne plus courtes en produisant une ouverture angulaire plus petite entre les noeuds adjacents. En outre, le contenu harmonique élevé et la déviation en fréquence imposent aussi des défis pour l'estimation des phaseurs. Les appareils synchronisés avancés dédiés pour la surveillance du réseau de distribution doivent surmonter ces défis afin de mener la précision des mesures au-delà des exigences actuelles.Cette problématique globale est traitée et évaluée dans la présente thèse. La précision de l'estimation de phaseur est directement liée à la performance de l'algorithme utilisé pour traiter les données. Une grande robustesse contre les effets pernicieux qui peuvent dégrader la qualité des estimations est fortement souhaitée. De ce fait, trois algorithmes adaptifs en fréquence sont présentés en visant l'amélioration du processus d'estimation des mesures de phaseurs dans les réseaux de distribution actifs. Plusieurs simulations en utilisant des signaux corrompus sont réalisées pour évaluer leurs performances dans des conditions statiques et/ou dynamiques.Prenant en compte l'estimation précise des phaseurs, quatre applications potentielles sont présentées pour augmenter la perception, la compréhension et la projection des actions dans les réseaux de distribution. Des contributions sont apportées concernant le circuit équivalent de Thévenin vu par le point de couplage commun (PCC) entre la production décentralisée et les réseaux de distribution. Des contributions sont également apportées pour les équivalents dynamiques externes et l'évaluation de la chute de tension dans les réseaux moyenne-tension radiaux, ainsi que l'évaluation de la problématique des harmoniques pour l'amélioration de la méthode classique nomée PH (puissance active harmonique) pour détecter à la fois la principale source de pollution harmonique et le vrai flux de puissance harmonique sous déviation en fréquence.Le sujet des mesures de phaseurs synchronisés dans le réseaux électrique de distribution est encore peu exploré et les questionnements quant à son applicabilité sont communs, néanmoins cette thèse vise à fournir des propositions pour contribuer à l'avènement de mesures de phaseurs dans l'environnement de la distribution électrique
Robust metering infrastructure based on classical digital measurements has been used to enable a comprehensive power distribution network management, however synchronized phasor measurements, also known as synchrophasors, are especially welcome to improve the overall framework capabilities. Synchrophasor is a phasor digitally computed from data samples using an absolute and accuracy time source as reference. In this way, since the absolute time source has sufficient accuracy to synchronize voltage and current measurements at geographically distant locations, it is possible to extract valuable informations of the real grid operating status without full knowledge of its characteristics.Due to this fact, applications of synchronized phasor measurements in wide-area management systems (WAMSs) have been achieved. Angular separation, linear state estimation, islanding detection, oscillatory stability, and disturbance location identification are some of the several applications that have been proposed. Thus, we could be lead to believe that to bring the well-known benefits of the synchronized measurements toward electric distribution grids it is only required to place in a straightforward manner conventional Phasor Measurement Units (PMUs) into the electric distribution environment. Unfortunately, this is not as simple as it seems.Electric power distribution systems and high-voltage power systems have different operational characteristics, hence PMUs or PMU-enabled IEDs dedicated to distribution systems should have different features from those devoted to the high-voltage systems. Active distribution grids with shorter line lengths produce smaller angular aperture between their adjacent busbars. In addition, high harmonic content and frequency deviation impose more challenges for estimating phasors. Generally, frequency deviation is related to high-voltage power systems, however, due to the interconnected nature of the overall power system, frequency deviation can be propagated toward the distribution grid. The integration of multiple high-rate DERs with poor control capabilities can also impose local frequency drift. Advanced synchronized devices dedicated to smart monitoring framework must overcome these challenges in order to lead the measurement accuracy beyond the levels stipulated by current standard requirements.This overall problematic is treated and evaluated in the present thesis. Phasor estimation accuracy is directly related to the algorithm's performance used for processing the incoming data. Robustness against pernicious effects that can degrade the quality of the estimates is highly desired. Due to this fact, three frequency-adaptive algorithms are presented aiming to boost the phasor estimation process in active distribution grids. Several simulations using spurious and distorted signals are performed for evaluating their performances under static and/or dynamic conditions.Taking into account accurate phasor estimates, four potential applications are presented seeking to increase situational awareness in distribution environment. Contributions are presented concerning online Thévenin's equivalent (TE) circuit seen by the Point of Common Coupling (PCC) between DERs and the grid side, dynamic external equivalents and online three-phase voltage drop assessment in primary radial distribution grids, as well as assessment of harmonic issues for improving the classical PH method (harmonic active power) to detect both the main source of harmonic pollution and true power flow direction under frequency deviation.The issue of synchronized phasor measurements in electric power distribution systems is still underexplored and suspicions about its applicability are common, however this thesis aims to provide propositions to contribute with the advent of phasor measurements in electric distribution environment
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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 techniques, such as real-time event alerts, accurate event location estimation, animated event visualization, and post event analysis. Traditionally, Phasor Measurement Units (PMUs) have utilized signals obtained from current transformers (CTs) to compute current phasors. Unfortunately, this requires that CTs must be directly connected with buses, transformers or power lines. Chapters 2, 3 will introduce an innovative phasor measurement instrument, the Non-contact Frequency Disturbance Recorder (NFDR), which uses the magnetic and electric fields generated by power transmission lines to obtain current phasor measurements. The NFDR is developed on the same hardware platform as the Frequency Disturbance Recorder (FDR), which is actually a single phase PMU. Prototype testing of the NFDR in both the laboratory and the field environments were performed. Testing results show that measurement accuracy of the NFDR satisfies the requirements for power system dynamics observation. Researchers have been developing various techniques in power system phasor measurement and frequency estimation, due to their importance in reflecting system health. Each method has its own pros and cons regarding accuracy and speed. The DFT (Discrete Fourier Transform) based algorithm that is adopted by the FDR device is particularly suitable for tracking system dynamic changes and is immune to harmonic distortions, but it has not proven to be very robust when the input signal is polluted by random noise. Chapter 4 will discuss the Least Mean Squares-based methods for power system frequency tracking, compared with a DFT-based algorithm. Wide-area monitoring systems based on real time PMU measurements can provide great visibility to the angle instability conditions. Chapter 5 focuses on developing an early warning algorithm on the FNET platform.
Ph. D.
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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 conductor temperature from overhead line impedance parameters, which can be calculated from measurements of electrical signals at each line end. Synchronized phasor measurement technology is becoming increasingly available in substations to capture voltage and current signals with high accuracy and reporting rates. It is known that the substation instrumentation channel can introduce significant systematic errors to the phasor measurements, which in turn cause inaccurate line impedance parameter and temperature values. This thesis presents novel methods for accurate, real-time monitoring of overhead line impedance parameters using synchronized phasor measurements that have systematic errors. In contrast to previous research, the time-variance and temperature dependence of line resistance as well as compensation of systematic errors is taken into account in the system model to increase parameter estimation accuracy. In addition, an algorithm for the selection of the best parameter estimates from different measurement sets is given. The effectiveness of the novel methods is demonstrated in several case studies on measurement data from simulations and an actual overhead line. The results show that the identified correction factors compensate systematic measurement errors, leading to a reduction in impedance parameter estimation errors of at least one order of magnitude compared to existing methods. Furthermore, the accuracy of real-time estimation of average conductor temperature was increased by at least one order of magnitude relative to previously proposed methods.
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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 performance. This thesis discusses the applicability of two voltage stability synchrophasor-based indices from literature to analyze the stability of a power system. Various load flow scenarios were conducted on the BPA 10-Bus system and the IEEE 39-Bus System using PowerWorld Simulator. The two indices were analyzed and compared against each other along with other well-known methods. Results show that their performances are coherent to each other regarding to voltage stability of the system; the indices can also predict voltage collapse as well as provide insight on other locations within the system that can contribute to instability.
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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 operator situational awareness, enable advanced control strategies, and aid in planning the grid.

This research is multifaceted in that it focuses on improved operator awareness and alarming as well as innovative remedial controls utilizing synchrophasors.  It integrates existing tools, controls, and infrastructure with new technology to propose applications and schemes that can be implemented for any utility.  This work presents solutions to problems relevant to the industry today, emphasizing utility design and implementation.  The Bonneville Power Administration (BPA) and Western Electricity Coordinating Council (WECC) transmission systems are used as the testing environment, and the work performed here is being explored for implementation at BPA.  However, this work is general in nature such that it can be implemented in myriad networks and control centers.

A Phase Angle Alarming methodology is proposed for improving operator situational awareness.  The methodology is used for setting phase angle limits for a two-tiered angle alarming application.  PMUs are clustered using an adapted disturbance-based probabilistic rms-coherency analysis.  While the lower tier angle limits are determined using static security assessment between the PMU clusters, the higher tier limits are based on pre-contingency operating conditions that signify poorly damped post-contingency oscillation ringdown.  Data mining tools, specifically decision trees, are employed to determine critical indicators and their respective thresholds.  An application is presented as a prototype; however, the methodology may be implemented in online tools as well as offline studies.

System response to disturbances is not only dependent on pre-contingency conditions but also highly dependent on post-contingency controls.  Pre-defined controls such as Special Protection Schemes (SPSs) or Remedial Action Schemes (RAS) have a substantial impact on the stability of the system.  However, existing RAS controls are generally event-driven, meaning they respond to predetermined events on the system.  This research expands an existing event-driven voltage stability RAS to a response-based scheme using synchrophasor measurements.  A rate-of-change algorithm is used to detect substantial events that may put the WECC system at risk of instability.  Pickup of this algorithm triggers a RAS that provides high-speed wide-area reactive support in the BPA area.  The controls have proved effective for varying system conditions and topologies, and maintain stability for low probability, high consequence contingencies generally dismissed in today\'s deterministic planning studies.

With investments being made in synchrophasor technology, the path of innovation has been laid; it\'s a matter of where it goes.  The goal of this research is to present simple, yet highly effective solutions to problems.  Doing so, the momentum behind synchrophasors can continue to build upon itself as it matures industry-wide.

Ph. D.
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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 to realize these algorithms, this dissertation develops a computationally simple model of the dynamics of the power system which fits neatly into the existing linear state estimation formulation. The algorithms are then tested on field data from PMUs installed on the Dominion Virginia Power EHV network.
Ph. D.
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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 implemented at a centralized remote control platform, usually the control room of the specific utility. This thesis presents a technique along with the actual implementation of such a PMU Synchroscope analytic developed as a part of the Department of Energy sponsored open and Extensible Control and Analytics platform for synchrophasor data (openECA project). The challenges faced to realize this functionality at the centralized remote location along with methods to overcome these hurdles have been discussed in the document. Additional features in comparison to the conventional synchroscope device are also added to facilitate a smoother and successful synchronization, reducing error on behalf of the user /operator and thus, facilitating a faster power system restoration.
Master of Science
Successful and proper synchronization between different nodes of a power system is one of the most crucial stages of restoring power after a major wide area electricity outage. Improper synchronization may lead to additional system outages and might delay the restoration process. In this regards, it is desired to perform this vital task at the electric utility’s central remote control room. This thesis develops an application to perform the successful reconnection between two nodes of a system overcoming the various challenges and incorporating system delays. The application designed is based on real-time measurements and is integrated with an open source framework platform for ease of the user.
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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 energize the power system when the main utility is disconnected. Detecting islanding is important for personnel safety, speedy restoration, and equipment protection. This paper describes the different islanding methods currently used and the benefits of combining two passive islanding detection methods, under/over voltage detection and voltage phase jump detection methods, using the synchrophasor vector processor (SVP).
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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 studies are only as accurate as the models of the grid components. The load components are generally the most difficult to model since they are controlled by the consumer. This study focuses on developing static and dynamic load models using advanced mathematical approximation algorithms and wide area measurement devices, which will improve the accuracy of the system analysis and hopefully decrease the frequency of blackouts. The increasing integration of phasor measurement units (PMUs) into the power system allows us to take advantage of synchronized measurements at a high data rate. These devices are capable of changing the way we manage online security within the Energy Management System (EMS) and can enhance our offline tools. This type of data helps us redevelop the measurement-based approach to load modeling. The static ZIP load model composition is estimated using a variation of the method of least squares, called bounded-variable least squares. The bound on the ZIP load parameters allows the measurement matrix to be slightly correlated. The ZIP model can be determined within a small range of error that won't affect the contingency studies. Machine learning is used to design the dynamic load model. Neural network training is applied to fault data obtained near the load bus and the derived network model can estimate the load parameters. The neural network is trained using simulated data and then applied to real PMU measurements. A PMU algorithm was developed to transform the simulated measurements into a realistic representation of phasor data. These new algorithms will allow us to estimate the load models that are used in contingency studies.
Ph. D.
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Books on the topic "Synchrophaseur"

1

Nuthalapati, Sarma, ed. Power System Grid Operation Using Synchrophasor Technology. Cham: 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. Chichester, UK: 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, 65–90. Cham: 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, 77–127. Cham: 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, 433–47. Cham: 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, 343–89. Cham: 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, 613–21. Singapore: 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, 385–94. Cham: 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, Ken Birman, Theodoros Gkountouvas, Dave Anderson, Carl Hauser, and Anjan Bose. "A Cloud-Hosted Synchrophasor Data Sharing Platform." In Power Electronics and Power Systems, 477–98. Cham: 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, 129–67. Cham: 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, 1–11. Cham: 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, 307–33. Cham: 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"

1

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), September 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), February 2014. http://dx.doi.org/10.2172/1126317.

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Etingov, Pavel, James Follum, Urmila Agrawal, Heng Wang, Francis Tuffner, Lisa Newburn, Renke Huang, Tamara Becejac, and Malini Ghosal. Open Source Suite for Advanced Synchrophasor Analysis. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1673609.

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Liu, Yilu, Jose R. Gracia, Paul D. Ewing, Jiecheng Zhao, Jin Tan, Ling Wu, and Lingwei Zhan. Impact of Measurement Error on Synchrophasor Applications. Office of Scientific and Technical Information (OSTI), July 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), April 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), February 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), November 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), February 2018. http://dx.doi.org/10.2172/1468940.

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Phadke, A. G., James Thorp, Virgilio Centeno, Matthew Gardner, Damir Novosel, Yi Hu, and David Elizondo. Synchrophasor Based Tracking Three-Phase State Estimator and It's Applications. Office of Scientific and Technical Information (OSTI), August 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), July 2014. http://dx.doi.org/10.2172/1236369.

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