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Journal articles on the topic 'Phasor measurement unit'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Fedotov, Dmitriy A., Anatoly V. Bychkov, Nikolay A. Doni, and Oleg V. Dmitriev. "ENSURING THE ACCURACY OF THE SYNCHROPHASOR MEASUREMENT IN THE P CLASS PHASOR MEASUREMENT UNIT." Vestnik Chuvashskogo universiteta, no. 2 (June 25, 2024): 160–70. http://dx.doi.org/10.47026/1810-1909-2024-2-160-170.

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In distributed relay protection and automation systems of power systems, the widespread use of P class phasor measurement unit is assumed. The accuracy of phasor measurements is affected by frequency variation of power system signals, the presence of multiple harmonics and the features of the electromechanical transient process. The necessary accuracy of phasor measurement in these conditions is provided by appropriate digital processing of electrical quantities. In this paper, theoretical and practical issues of digital signal processing based on the classical Fourier filter in a P class phas

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2

Wilson, R. E. "PMUs [phasor measurement unit]." IEEE Potentials 13, no. 2 (1994): 26–28. http://dx.doi.org/10.1109/45.283885.

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3

Anisha N.P., Prasanna Vadana D., and Suyampulingam A. "Soft Phasor Measurement Unit." Procedia Technology 21 (2015): 533–39. http://dx.doi.org/10.1016/j.protcy.2015.10.045.

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Rafikov, V. R., I. E. Ivanov, and A. A. Bratoliubov. "Physical and mathematical modeling of transients in a synchronous generator utilizing synchronized phasor measurements." Vestnik IGEU, no. 3 (June 30, 2021): 22–32. http://dx.doi.org/10.17588/2072-2672.2021.3.022-032.

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There have been quite a few attempts to compute synchronous generator parameters based on voltage and current synchrophasors taken under power system transients. However, we have not seen any publications with thorough analysis as to how soon the phasor measurement unit reacts to disturbance conditions, which components of the transient are filtered out and which are passed through, as well as what the total vector error is. The goal of this research is to determine all of these characteristics of a phasor measurement unit when playing back transient oscillograms for a stator short circuit obt

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Giotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (2023): 5465. http://dx.doi.org/10.3390/en16145465.

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The dynamic monitoring, control, and protection of modern power systems in real time require time-stamped electrical measurements to accurately estimate the bus voltage phasors using the state estimation function under normal and abnormal conditions. These measurements can be acquired by time-synchronized devices, known as phasor measurement units (PMUs). PMUs can measure bus voltage and branch current phasors of a three-phase network, as well as the frequency and the rate of change of frequency (ROCOF), with high speed, accuracy and time stamping provided by global positioning system (GPS) at

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P, Jagannadh, S. Ramanjaneyulu K, Mahesh P, Bala Siva K, and Madhu Sudhan P. "An Effective Operation of Power System Network by Installing Phasor Measurement Unit." Journal of Electrical and Power System Engineering 5, no. 3 (2019): 15–23. https://doi.org/10.5281/zenodo.3460071.

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<em>At present days, the electricity demand is drastically progressing in the world, which pushes the power system into smart grid technology. Smart grid technology uses open standard intelligent communication to calculate real time conditions like system stability, performance of the equipment, congestion in power system network, and several blackouts, outages and energy demand responses. Even though in smart grid, Supervisory Control and Data Acquisition (SCADA) technology can place important role, but due to low speed sampling there is a need for upgrade it. In this paper, a new technology

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Rachana, Pandey, H.K. Verma Dr., Arun Parakh Dr., and Cheshta Jain Khare Dr. "Artificial Intelligence Based Optimal Placement of PMU." International Journal of Emerging Science and Engineering (IJESE) 10, no. 11 (2022): 1–5. https://doi.org/10.35940/ijese.I2541.10101122.

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<strong>Abstract:</strong> The investigation of power system disturbances is critical for ensuring the supply’s dependability and security. Phasor Measurement Unit (PMU) is an important device of our power network, installed on system to enable the power system monitoring and control. By givingsynchronised measurements at high sample rates, Phasor Measurement Units have the potential to record quick transients with high precision. PMUs are gradually being integrated into power systems because they give important phasor information for power system protection and control in both norm

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Pandey, Rachana, Dr H. K. Verma, Dr Arun Parakh, and Dr Cheshta Jain Khare. "Artificial Intelligence Based Optimal Placement of PMU." International Journal of Emerging Science and Engineering 10, no. 11 (2022): 1–6. http://dx.doi.org/10.35940/ijese.i2541.10101122.

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The investigation of power system disturbances is critical for ensuring the supply’s dependability and security. Phasor Measurement Unit (PMU) is an important device of our power network, installed on system to enable the power system monitoring and control. By giving synchronised measurements at high sample rates, Phasor Measurement Units have the potential to record quick transients with high precision. PMUs are gradually being integrated into power systems because they give important phasor information for power system protection and control in both normal and abnormal situations. Placement

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9

Ponnala, Ravi, Muktevi Chakravarthy, and Suraparaju Venkata Naga Lakshmi Lalitha. "Effective monitoring of power system with phasor measurement unit and effective data storage system." Bulletin of Electrical Engineering and Informatics 11, no. 5 (2022): 2471–78. http://dx.doi.org/10.11591/eei.v11i5.4085.

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In the recent years the monitoring and operation of the power system became complex, due to the more demand from the different linear and non-linear loads and generation from the different sources. For the effective monitoring and operation of the power system, existing power system monitoring methods need to improve or new technologies are required. For the effective monitoring and operation of the power system phasor measurement unit (PMU) based monitoring is suitable, because it provide the dynamic state monitoring system. In this paper PMU based monitoring is proposed with effective data s

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10

DEKHANDJI, Fatma Zohra. "Design Optimization of PMU Anti-Aliasing Filters using Taguchi Method." Algerian Journal of Signals and Systems 5, no. 4 (2020): 215–19. http://dx.doi.org/10.51485/ajss.v5i4.119.

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A Phasor Measurement Unit (PMU) is a monitoring device, which serves in checking the power system condition by measuring voltage and current phasors along with frequency at a particular node. The basic structure of PMU consists of Synchronization Unit, Measurement Unit and Data Transmission Unit. The Measurement Unit has three components: Anti-aliasing filters, Analog-to-Digital Converter and Phasor measurement Unit/ Processor. An anti-aliasing filter ensures that all the analog signals have the same phase shift and attenuation thus assuring that the phase angle differences and relative magnit

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Appasani, Bhargav, and Dusmanta Kumar Mohanta. "A two-stage Markov model–aided frequency-duration technique for reliability analysis of phasor measurement unit microwave communication networks." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 3 (2018): 355–68. http://dx.doi.org/10.1177/1748006x18785685.

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The necessity for effective real-time monitoring and control, coupled with the developments in the fields of communication and sensor technologies, led to the emergence of the smart grid. The phasor measurement unit has emerged as an important sensor for the smart grid. The phasor measurement unit communication network is another crucial component which transfers the real-time sensor data measured by the phasor measurement unit to the phasor data concentrator for subsequent monitoring and control. Thus, its reliable operation is essential. The key parameters for assessment of reliability are t

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12

Tang, Yi-hua, Gerard N. Stenbakken, and Allen Goldstein. "Calibration of Phasor Measurement Unit at NIST." IEEE Transactions on Instrumentation and Measurement 62, no. 6 (2013): 1417–22. http://dx.doi.org/10.1109/tim.2013.2240951.

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13

Ghiga, Radu, Kenneth Martin, Qiuwei Wu, and Arne Hejde Nielsen. "Phasor Measurement Unit Test Under Interference Conditions." IEEE Transactions on Power Delivery 33, no. 2 (2018): 630–39. http://dx.doi.org/10.1109/tpwrd.2017.2691356.

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Pandey, Rachana, Dr H. K. Verma, Dr Arun Parakh, and Dr Cheshta Jain Khare. "Optimization of Phasor Measurement Unit (PMU) Placement: A Review." International Journal of Emerging Science and Engineering 7, no. 4 (2021): 9–13. http://dx.doi.org/10.35940/ijese.e2518.117421.

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In today’s world, a Phasor Measurement Unit (PMU) is a crucial component of our power network for managing, controlling, and monitoring. PMU can provide synchronized voltage current, and frequency measurements in real time. We can't put a PMU in every bus in the electrical grid because it's not viable from a productivity and economic standpoint, and it's also not practical for handling huge data. As a result, it's critical to reduce the amount of PMU in the power network while also increasing the power network's observability. The optimal PMU placement problem is solved using a variety of meth

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15

Reis, Amanda Wohlfahrt, and Fernando Guilherme Kaehler Guarda. "Simulação de uma Unidade de Medição Fasorial em Tempo Real utilizando Typhoon Virtual HIL." Ciência e Natura 42 (February 7, 2020): 21. http://dx.doi.org/10.5902/2179460x40589.

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This paper aims to present a project to implement a phasor measurement unit (PMU), which is the main component in the synchronized phasor measurement system. This measurement technology aims to bring significant gains to the operation of electrical systems, since it allows to simultaneously measure magnitudes and phase angles of voltage and current at geographically distant points from the electrical system. So, the paper reports the use of filters in obtaining PMU measurements. In this way, it is intended to implement the PMU in the Typhoon Virtual HIL software.

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Parthasarathy, 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 (2022): 012010. http://dx.doi.org/10.1088/1742-6596/2325/1/012010.

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Abstract Phasor Measurement Units (PMU) are valuable sources of data which increase the visibility into several fields of application such as power production, transmission and distribution. With the initial goal of obtaining phasor values at fixed points in the network and syncing it to a standard time frame, the technology has morphed into an all-encompassing unit, which has its uses in the field of protection, control and automation. With the application of these units becoming a standard benchmark, the improvement in the current available units is a huge requirement. This study presents a

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Mingotti, Alessandro, Federica Costa, Lorenzo Peretto, and Roberto Tinarelli. "Closed-Form Expressions to Estimate the Mean and Variance of the Total Vector Error." Energies 14, no. 15 (2021): 4641. http://dx.doi.org/10.3390/en14154641.

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The need for accurate measurements and for estimating the uncertainties associated with measures are two pillars for researchers and metrologists. This is particularly true in distribution networks due to a mass deployment of new intelligent electronic devices. Among such devices, phasor measurement units are key enablers for obtaining the full observability of the grid. The phasor measurement unit performance is mostly evaluated by means of the total vector error, which combines the error on amplitude, phase, and time. However, the total vector error is typically provided merely as a number,

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Hojabri, Mojgan, Ulrich Dersch, Antonios Papaemmanouil, and Peter Bosshart. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems." Energies 12, no. 23 (2019): 4552. http://dx.doi.org/10.3390/en12234552.

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Synchrophasor technology opens a new window for power system observability. Phasor measurement units (PMUs) are able to provide synchronized and accurate data such as frequency, voltage and current phasors, vibration, and temperature for power systems. Thus, the utilization of PMUs has become quite important in the fast monitoring, protection, and even the control of new and complicated distribution systems. However, data quality and communication are the main concerns for synchrophasor applications. This study presents a comprehensive survey on wide-area monitoring systems (WAMSs), PMUs, data

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Hojabri, Mojgan, Ulrich Dersch, Antonios Papaemmanouil, and Peter Bosshart. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems." energies, no. 12 (November 29, 2019): 4552. https://doi.org/10.5281/zenodo.8131250.

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Synchrophasor technology opens a new window for power system observability. Phasor measurement units (PMUs) are able to provide synchronized and accurate data such as frequency, voltage and current phasors, vibration, and temperature for power systems. Thus, the utilization of PMUs has become quite important in the fast monitoring, protection, and even the control of new and complicated distribution systems. However, data quality and communication are the main concerns for synchrophasor applications. This study presents a comprehensive survey on wide-area monitoring systems (WAMSs), PMUs, data

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20

Zakri, Azriyenni Azhari, Rangga Eka Saputra, Makmur Saini, and Hidayat Hidayat. "Distributed Generation installed by the Phasor Measurement Unit to improve voltage." SINERGI 26, no. 1 (2022): 37. http://dx.doi.org/10.22441/sinergi.2022.1.006.

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This study is intended to design a system connected to the Distributed Generation (DG) sourced from solar cells, using Matlab/Simulink. A Phasor Measurement Unit (PMU) is installed in the DG system to monitor the phasor voltage and current. Furthermore, the system comprises four buses with two 20 kV load voltages, two amplifying transformers, and four transmission lines. The DG's role is to keep the power supply to the load stable and improve power efficiency by reducing power losses on the network. However, in this network, the DG increases the current on each bus. Thus, affecting voltage inc

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21

Rachana, Pandey, Verma H.K., Parakh Arun, and Jain Khare Cheshta. "Optimization of Phasor Measurement Unit (PMU) Placement: A Review." International Journal of Emerging Science and Engineering (IJESE) 7, no. 4 (2021): 9–13. https://doi.org/10.35940/ijese.E2518.117421.

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In today’s world, a Phasor Measurement Unit (PMU) is a crucial component of our power network for managing, controlling, and monitoring. PMU can provide synchronized voltage current, and frequency measurements in real time. We can't put a PMU in every bus in the electrical grid because it's not viable from a productivity and economic standpoint, and it's also not practical for handling huge data. As a result, it's critical to reduce the amount of PMU in the power network while also increasing the power network's observability. The optimal PMU placement problem is solv

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22

Bentarzi, Hamid, Meriam Mahboubi, and Abderrahmane Ouadi. "Study of Different Estimation Techniques for a Micro-Phasor Measurement Unit Implementation." International Journal on Applied Physics and Engineering 1 (December 31, 2022): 17–24. http://dx.doi.org/10.37394/232030.2022.1.3.

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Distribution power networks are very complex, due to the great number nodes, short distances, and small amplitude and phase angle differences between nodes, faster dynamics and lack of standard documentation. Thus, these complexities have raised the need to develop new Phasor Measurement Unit (PMU) called Micro-Phasor Measurement Unit (μPMU) with high accuracy and high precision. In this work, several estimation techniques have been investigated so far for improving effectiveness and accuracy of this micro-PMU.

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Yaqub, Raziq, Mohamed Ali, and Hassan Ali. "DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter." Energies 14, no. 19 (2021): 6086. http://dx.doi.org/10.3390/en14196086.

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Community microgrids are set to change the landscape of future energy markets. The technology is being deployed in many cities around the globe. However, a wide-scale deployment faces three major issues: initial synchronization of microgrids with the utility grids, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distrib

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Thakre, Mohan, Akbar Ahmad, and Kishor Bhadane. "Measurement Class Phasor Measurement Unit Compliance for Electrical Grid Monitoring." MAPAN 37, no. 1 (2021): 125–35. http://dx.doi.org/10.1007/s12647-021-00440-6.

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Zhang, Wen Jun, Jian Jun Xu, and Long Xing. "The Method of Optimal Phasor Measurement Unit Placement." Advanced Materials Research 798-799 (September 2013): 298–301. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.298.

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Taking the full network observability of power system and the least number of PMU as objective, to appearing fault situation in the grid, this paper proposes Differential Evolution and Particle Swarm Optimization (DEPSO) algorithm in view of the system failure rate. The improved DEPSO algorithm is global optimization, the algorithm takes the constraint condition of fault rate into account during the course of seeking optimal solutions. At the end, through the examples show that the algorithm compares with the existing optimization methods, which can reduce the number of PMU configuration and a

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Affijulla, Shaik, and Praveen Tripathy. "Development of Dictionary-Based Phasor Estimator Suitable for P-Class Phasor Measurement Unit." IEEE Transactions on Instrumentation and Measurement 67, no. 11 (2018): 2603–15. http://dx.doi.org/10.1109/tim.2018.2824545.

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Schofield, David, Debashish Mohapatra, Harold R. Chamorro, Juan Manuel Roldan-Fernandez, Kouzou Abdellah, and Francisco Gonzalez-Longatt. "Design and Implementation of Low-Cost Phasor Measurement Unit: PhasorsCatcher." Energies 15, no. 9 (2022): 3172. http://dx.doi.org/10.3390/en15093172.

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The need for Phasor Measurement Units (PMUs) is rising as renewable energy sources become more prevalent in power networks since the rate of change of frequency is being deteriorated. Appropriate and accurate network measurements are a requirement for the precise monitoring and control of the system. This paper presents a low-cost PMU development, the so-called PhasorsCatcher, for the frequency and rate of change of frequency measurements in power networks, using sufficient but straightforward modular and reconfigurable friendly technology for its implementation. The entire hardware design, sc

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Schofield, David, Debashish Mohapatra, Harold R. Chamorro, Juan Manuel Roldan-Fernandez, Kouzou Abdellah, and Francisco Gonzalez-Longatt. "Design and Implementation of Low-Cost Phasor Measurement Unit: PhasorsCatcher." Energies 15, no. 9 (2022): 3172. http://dx.doi.org/10.3390/en15093172.

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The need for Phasor Measurement Units (PMUs) is rising as renewable energy sources become more prevalent in power networks since the rate of change of frequency is being deteriorated. Appropriate and accurate network measurements are a requirement for the precise monitoring and control of the system. This paper presents a low-cost PMU development, the so-called PhasorsCatcher, for the frequency and rate of change of frequency measurements in power networks, using sufficient but straightforward modular and reconfigurable friendly technology for its implementation. The entire hardware design, sc

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Zheng, Wen, Yun Bo Zhang, Ye Xue, and Yong Xu. "Research on Application of Synchronized Phasor Measurement Unit (PMU) for Smart Substation." Advanced Materials Research 860-863 (December 2013): 1842–45. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.1842.

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Synchronized phasor measurement unit (PMU) has become the important monitoring device in power networks for high precision and accurate time tag of measurement data. This paper presents the PMUs suitable for smart substation which adopt embedded software-hardware platform. The differences between the common PMUs and PMUs for smart substation are introduced, and the software modules design is put forward, too. The key technology of PMUS is introduced including receiving and processing of sampling data message based on IEC 61850 standard and phasor calculation based on discrete Fourier transform

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Chaturvedi, K. T., Anurag S. D. Rai, and Bhoopendra Rohit. "Algorithms for Synchrophasor Enabled Digital Relay." HCTL Open International Journal of Technology Innovations and Research (IJTIR) 21, July 2016 (2016): 15–25. https://doi.org/10.5281/zenodo.161502.

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The differential protection of buses, transformers and generators is a well-established protection principle that emphasizes the importance of synchronized phasor measurements. True differential protection was not possible before the introduction of synchronized phasor measurements. Differential protection is important for series compensated lines and tapped lines. Differential protection involves communication wires or communication band channels. The easy availability of synchronized measurements using Global positioning systems (GPS) technology and the improvement in communication technolog

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Zhao, Ruifeng, Jiangang Lu, Yizhe Chen, et al. "Optimal µPMU Placement Considering Node Importance and Multiple Deployed Monitoring Devices in Distribution Networks." Energies 18, no. 2 (2025): 395. https://doi.org/10.3390/en18020395.

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The placement of micro phasor measurement units in an active distribution network can improve the monitoring performance of the system. However, the price and placement cost of micro phasor measurement units are high, so existing research mostly focuses on solving the problem of achieving global observability with the minimum number of micro phasor measurement units. However, the problems of frequent topology change in the distribution network and the increase in the number of faults that will be caused by the high proportion of distributed energy resources connected to the system may lead to

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Tran, Van-Khoi, and He-Sheng Zhang. "Optimal Placement of Phasor Measurement Unit based on Bus Observation Reliability." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 1 (2019): 68–78. http://dx.doi.org/10.2174/2352096511666180508143702.

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Background: Meter placement, which can determine sufficient measurements for the successful estimate implementation, plays a crucial role for state estimation of the power system. For ensuring the robustness of state estimation against bad data in measurements, fail data from attackers and loss of measures; the measurement redundancies are necessary. Methods: This paper proposes a new method based on the observation reliability criteria of the bus to solve the optimal meter placement problem in the power network. The goal of this work is to enhance the effect of measurement redundancies and ac

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Delle Femine, Antonio, Daniele Gallo, Carmine Landi, and Mario Luiso. "The Design of a Low Cost Phasor Measurement Unit." Energies 12, no. 14 (2019): 2648. http://dx.doi.org/10.3390/en12142648.

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The widespread diffusion of Phasor Measurement Units (PMUs) is a becoming a need for the development of the “smartness” of power systems. However, PMU with accuracy compliant to the standard Institute of Electrical and Electronics Engineers (IEEE) C37.118.1-2011 and its amendment IEEE Std C37.118.1a-2014 have typically costs that constitute a brake for their diffusion. Therefore, in this paper, the design of a low-cost implementation of a PMU is presented. The low cost approach is followed in the design of all the building blocks of the PMU. A key feature of the presented approach is that the

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Wang, Yang, Wenyuan Li, Peng Zhang, Bing Wang, and Jiping Lu. "Reliability Analysis of Phasor Measurement Unit Considering Data Uncertainty." IEEE Transactions on Power Systems 27, no. 3 (2012): 1503–10. http://dx.doi.org/10.1109/tpwrs.2012.2183901.

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Khorashadi Zadeh, Hassan, and Zuyi Li. "Phasor measurement unit based transmission line protection scheme design." Electric Power Systems Research 81, no. 2 (2011): 421–29. http://dx.doi.org/10.1016/j.epsr.2010.10.009.

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da Silva, Raphael Philipe Mendes, Alexandre Cláudio Botazzo Delbem, and Denis Vinicius Coury. "Evolutionary Computation Techniques Applied to Phasor Measurement Unit Design." Journal of Control, Automation and Electrical Systems 24, no. 4 (2013): 573–83. http://dx.doi.org/10.1007/s40313-013-0051-0.

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Jena, Premalata, and Ashok Kumar Pradhan. "Reducing current transformer saturation effect in phasor measurement unit." International Transactions on Electrical Energy Systems 26, no. 7 (2015): 1397–407. http://dx.doi.org/10.1002/etep.2152.

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Al-Shamaain, Zaid S., Hussein D. Al-Majali, and Bilal H. Al-Majali. "Out-of-Step Detection based on Phasor Measurement Unit." WSEAS TRANSACTIONS ON POWER SYSTEMS 18 (December 31, 2023): 354–63. http://dx.doi.org/10.37394/232016.2023.18.36.

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The electrical power systems operate as a huge, interconnected network that extends across a large area. In the power system, there is an equilibrium between generated power and a load. Any disturbance in the system, such as a fault or a change in load, will lead to imbalance and electromechanical oscillations. As a result, the power flow between two areas varies. This is known as a power swing." Large system disturbances could lead to large rotor angle deviations between groups of generators, resulting in a loss of synchronism between generators or between interconnected systems. This is know

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Soto, Ismael, Rafael Nilson Rodrigues, Gabriel Massuyama, et al. "A Hybrid VLC-RF Portable Phasor Measurement Unit for Deep Tunnels." Sensors 20, no. 3 (2020): 790. http://dx.doi.org/10.3390/s20030790.

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In this manuscript we propose a hybrid Visible Light Communication and Radio Frequency (VLC-RF) scheme for the implementation of a portable Phaser Measurement Unit (PMU) for deep underground tunnels. Through computer simulations and laboratory measurements we are capable of providing Coordinated Universal Time (UTC) to the PMUs, as well as high accuracy positioning in a Global Positioning System (GPS) denied environment. The estimated PMU position, time stamp, and electrical power system measurements are sent to a central monitoring station using a radio frequency uplink with a data rate of hu

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Rahmati, Abouzar. "Accurate Real-Time Measurements of the Smart Grid Phasor Measurement Unit Parameters." Electric Power Components and Systems 44, no. 16 (2016): 1815–24. http://dx.doi.org/10.1080/15325008.2015.1114049.

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Yang, Zonglei, Chao Xie, and Chunya Yin. "Fault Location Method for Distribution Network Using an Additional Inductance Strategy." Electronics 13, no. 4 (2024): 712. http://dx.doi.org/10.3390/electronics13040712.

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In distribution networks, time asynchrony exists between the phasor measuring unit (PMU) at both ends of a line, and the effective measurement time of the devices is short, leading to insufficient accuracy in phasor measurements. This paper proposes a fault location method for distribution networks that employ an additional inductance strategy to address the limited location accuracy caused by time asynchrony and the inadequate accuracy of phasor measurement devices. The method enhances the stability and accuracy of phase measurement by connecting an additional inductance after the online circ

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Qin, Chuan, Zhijie Nie, P. Banerjee, and Anurag K. Srivastava. "End-to-End Remote Field Testing of Phasor Measurement Units Using Phasor Measurement Unit Performance Analyzer Test Suite." IEEE Transactions on Industry Applications 56, no. 6 (2020): 7067–76. http://dx.doi.org/10.1109/tia.2020.3019994.

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Krishnan, Kiruthika, and Srivani Iyengar. "Fault detection in an interconnected power system using optimal number of phasor measurement unit." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 4 (2022): 2109. http://dx.doi.org/10.11591/ijpeds.v13.i4.pp2109-2119.

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<p>Fault identification in a power system is crucial. In recent days, there have been multiple microgrids connected to the power system. And if many buses are connected, then there is a need for an increase in the phasor measurement unit. By using an optimization technique, the number of phasor measurement unit PMUs can be reduced by placing them optimally. In this paper, the fault detection algorithm is implemented using a reduced number of PMUs with the help of the particle swarm optimization (PSO) algorithm. The optimal locations of PMUs are identified using the PSO algorithm. Here, t

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Shiralkar, Ashpana, Suchita Ingle, Haripriya Kulkarni, Poonam Mane, and Shashikant Bakre. "Phasor measurement unit optimization in smart grids using artificial neural network." Indonesian Journal of Electrical Engineering and Computer Science 39, no. 1 (2025): 625. https://doi.org/10.11591/ijeecs.v39.i1.pp625-633.

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The wide area measurements systems (WAMS) play a vital role in the operation of smart grids. The phasor measurement units (PMU) or synchrophasors are one of the principle components under WAMS. PMU in a smart grid converts power system signals into phasor from voltage and current which enhances the observability of the power system. A variety of operations is performed by the PMUs such as adaptive relaying, instability prediction, state estimation, improved control, fault and disturbance recording, transmission and generation modeling verification, wide area protection and detection of fault l

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Kiruthika, Krishnan, and Iyengar Srivani. "International Journal of Power Electronics and Drive Systems." International Journal of Power Electronics and Drive Systems 13, no. 4 (2022): 2109~2119. https://doi.org/10.11591/ijpeds.v13.i4.pp2109-2119.

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Abstract:

Fault identification in a power system is crucial. In recent days, there have been multiple microgrids connected to the power system. And if many buses are connected, then there is a need for an increase in the phasor measurement unit. By using an optimization technique, the number of phasor measurement unit PMUs can be reduced by placing them optimally. In this paper, the fault detection algorithm is implemented using a reduced number of PMUs with the help of the particle swarm optimization (PSO) algorithm. The optimal locations of PMUs are identified using the PSO algorithm. Here, the reduct

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Zuo, Wen, Ying Shao, Li Ming Wang, and Ming Lei. "Ship Synchronized Phasor Measurement Method Based on TTCAN." Advanced Materials Research 601 (December 2012): 139–43. http://dx.doi.org/10.4028/www.scientific.net/amr.601.139.

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Synchronized Phasor Measurement Unit with CAN bus can be used to phasor acquisition and real-time dynamic monitoring of ship power system. As it is known to all, traditional CAN communication is based on event-triggered mechanism. Message transmission will be delayed when there are a lot of messages in CAN bus. This paper used TTCAN protocol to synchronize the master and slave clock nodes based on STM32 microcontrollers. A Fast Fourier transform of AD samples was been done and transferred to host computer through CAN bus which reflects the real-time running status of system well.

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Ravi, Ponnala, Chakravarthy Muktevi, and Venkata Naga Lakshmi Lalitha Suraparaju. "Performance and comparison of different phasor calculation techniques for the power system monitoring." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1246~1253. https://doi.org/10.11591/eei.v11i3.3833.

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Day to day to electrical power demand increases very rapidly with linear and non-linear load demands. Especially the nonlinear loads are creating the harmonics in the current and voltage signals. The current and voltage signal values are measured with the phasor measurement unit (PMU) for the proper magnitude and phase angle calculation even in the presence of harmonic components in the signals. The performance of the PMU is depending upon the phasor calculation technique. Different technique/methods are available for the phasor calculation, from the method to method there is difference in the

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Al-Momani, Mohammad, Amneh Almbaideen, Seba Al-Gharaibah, Khaled Al-Awasa, and Allahham Ahmed. "Global-Binary Algorithm; New Optimal Phasor Measurement Unit Placement Algorithm." Jordan Journal of Energy 1, no. 1 (2022): 72–86. http://dx.doi.org/10.35682/jje.v1i1.4.

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This paper proposes a new algorithm for the optimal placement of the phasor measurement unit. The proposed algorithm is based on the concept of finite space solution of any binary problem. This algorithm has considered all possible cases; therefore, the possibility of obtaining a global solution is very high. The large system is divided into several subsystems. The buses (transmission lines) connected between the subsystems are called interconnected buses (lines). The proposed algorithm is implemented through two steps. First step identifies the optimal placement for each subsystem by checking

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Gao, Fenghua, James S. Thorp, Shibin Gao, Anamitra Pal, and Katelynn A. Vance. "A Voltage Phasor Based Fault-classification Method for Phasor Measurement Unit Only State Estimator Output." Electric Power Components and Systems 43, no. 1 (2014): 22–31. http://dx.doi.org/10.1080/15325008.2014.956951.

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Yaqub, Raziq. "Phasor Measurement Unit Assisted Inverter—A Novel Approach for DC Microgrids Performance Enhancement." Electricity 2, no. 3 (2021): 330–41. http://dx.doi.org/10.3390/electricity2030020.

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DC microgrids are set to change the landscape of future energy markets. However, a wide-scale deployment faces three major issues: initial synchronization of microgrid with the utility grid, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distribution system of a utility company and keeps constructing a real-time refere

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