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Journal articles on the topic 'Phasor estimation'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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1

Zhao, Dongfang, Fuping Wang, Shisong Li, Wei Zhao, Lei Chen, Songling Huang, Shen Wang, and Haitao Li. "An Optimization of Least-Square Harmonic Phasor Estimators in Presence of Multi-Interference and Harmonic Frequency Variance." Energies 16, no. 8 (April 12, 2023): 3397. http://dx.doi.org/10.3390/en16083397.

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The wide application of power electronic devices brings an increasing amount of undesired harmonic and interharmonic tones, and accurate harmonic phasor estimation under a complex signal input is an important task for smart grid applications. In this paper, an optimization of least-square dynamic harmonic phasor estimators, considering multi-interference and harmonic frequency variance, is proposed. A comprehensive error index (CEI) composed of the fundamental-leakage-led harmonic amplitude estimation error, harmonic mutual interference, out-of-band interference, and harmonic frequency deviati

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2

Chukkaluru, Sai Lakshmi, and Shaik Affijulla. "Review of Discrete Fourier Transform During Dynamic Phasor Estimation and the Design of Synchrophasor Units." ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, no. 1 (February 28, 2023): 248548. http://dx.doi.org/10.37936/ecti-eec.2023211.248548.

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In a large and complex interconnected power system, the measurement of synchronized bus voltage and line current plays a vital role in the monitoring and precise control of various sophisticated electrical equipment for secure and reliable operation. Phasor measurement units (PMUs) are incorporated into a wide area of the power system to extract the different signals of synchronized phasors. In this paper, the capacity of the PMU phasor estimation algorithm is explored based on discrete Fourier transform (DFT) under different sampling frequency rates during various dynamic scenarios in accorda

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3

Guo, Yufu, Hang Xu, and Aobing Chi. "Broadband Dynamic Phasor Measurement Method for Harmonic Detection." Electronics 11, no. 11 (May 24, 2022): 1667. http://dx.doi.org/10.3390/electronics11111667.

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A large number of nonlinear loads and distributed energy sources are connected to the power system, leading to the generation of broadband dynamic signals including inter-harmonics and decaying DC (DDC) components. This causes deterioration of power quality and errors during power measurement. Therefore, effective phasor estimation methods are needed for accurate monitoring and effective analysis of harmonics and interharmonic phasors. For this purpose, an algorithm is proposed in this paper that is implemented in two parts. The first part is based on the least square method in order to obtain

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4

Giotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (July 18, 2023): 5465. http://dx.doi.org/10.3390/en16145465.

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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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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 (August 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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Liu, Min. "Distribution System State Estimation with Phasor Measurement Units." Applied Mechanics and Materials 668-669 (October 2014): 687–90. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.687.

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With phasor measurement units (PMU) become available in the distribution system; the estimation accuracy of the distribution system state estimation (DSSE) is expected to be improved. Based on the weighted least square (WLS) approach, this paper proposed a new state estimator which takes into account the PMU measurements including voltage magnitude and phasor angle, and load current magnitude and phasor angle. Simulation results indicate that the estimation accuracy is obvious improve by adding PMU measurements to the DSSE. Furthermore, the estimation accuracy changes with the installation sit

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7

Xiao, Xianyong, Runze Zhou, Xiaoyang Ma, and Rui Xu. "Harmonic Phasor Estimation Method Considering Dense Interharmonic Interference." Entropy 25, no. 2 (January 27, 2023): 236. http://dx.doi.org/10.3390/e25020236.

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Due to the limitation of frequency resolution and the spectrum leakage caused by signal windowing, the spectrums of harmonic and interharmonic components with close frequencies overlap each other. When the dense interharmonic (DI) components are close to the harmonic spectrum peaks, the harmonic phasor estimation accuracy is seriously reduced. To address this problem, a harmonic phasor estimation method considering DI interference is proposed in this paper. Firstly, based on the spectral characteristics of the dense frequency signal, the phase and amplitude characteristics are used to determin

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Mejia-Barron, Arturo, David Granados-Lieberman, Jose Razo-Hernandez, Juan Amezquita-Sanchez, and Martin Valtierra-Rodriguez. "Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation." Electronics 8, no. 2 (January 29, 2019): 135. http://dx.doi.org/10.3390/electronics8020135.

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Phasor measurement units (PMUs) have become powerful monitoring tools for many applications in smart grids. In order to address the different issues related to harmonics in power systems, the fundamental phasor estimator in a PMU has been extended to the harmonic phasor estimator by several researchers around the world. Yet, the development of harmonic phasor estimators is a challenge because they have to consider time-varying frequencies since the frequency deviation in the harmonic components is proportional to the harmonic order in a dynamic way. In this work, a new algorithm for harmonic p

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9

delaOSerna, J. A. "Phasor Estimation From Phasorlets." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (February 2005): 134–43. http://dx.doi.org/10.1109/tim.2004.838914.

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10

Chi, Aobing, Chengbi Zeng, Yufu Guo, and Hong Miao. "A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation." Entropy 24, no. 7 (July 17, 2022): 988. http://dx.doi.org/10.3390/e24070988.

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In order to overcome the spectral interference of the conventional Fourier transform in the International Electrotechnical Commission framework, this paper introduces a Bregman-split-based compressive sensing (BSCS) method to estimate the Taylor–Fourier coefficients in a multi-frequency dynamic phasor model. Considering the DDC component estimation, this paper transforms the phasor problem into a compressive sensing model based on the regularity and sparsity of the dynamic harmonic signal distribution. It then derives an optimized hybrid regularization algorithm with the Bregman split method t

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11

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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12

Jafarpisheh, Babak, and Anamitra Pal. "A Robust Algorithm for Real-Time Phasor and Frequency Estimation under Diverse System Conditions." Energies 14, no. 21 (November 1, 2021): 7112. http://dx.doi.org/10.3390/en14217112.

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This paper presents a comprehensive approach for performing phasor and frequency estimation from voltage and/or current signals of the modern power system. Undesirable components, such as decaying DC, if present in the input signal, are first attenuated using a complex-gain filter. The initial estimates of phasor and frequency are obtained next using the discrete Fourier transform and an improved estimation of signal parameters via rotational invariance technique, respectively. Finally, the accuracy of phasor and frequency estimates are increased based on the identified system condition. Simul

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13

Phadke, A. G., J. S. Thorp, and K. J. Karimi. "State Estimation with Phasor Measurements." IEEE Power Engineering Review PER-6, no. 2 (February 1986): 48. http://dx.doi.org/10.1109/mper.1986.5528179.

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Kušljević, Miodrag D. "IIR Cascaded-Resonator-Based phasor estimation." Measurement 183 (October 2021): 109767. http://dx.doi.org/10.1016/j.measurement.2021.109767.

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15

Rao, J. Ganeswara, and Ashok Kumar Pradhan. "Accurate Phasor Estimation During Power Swing." IEEE Transactions on Power Delivery 31, no. 1 (February 2016): 130–37. http://dx.doi.org/10.1109/tpwrd.2015.2441132.

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16

Munoz, Alejandro Torres, and Jose Antonio de la O. Serna. "Shanks' Method for Dynamic Phasor Estimation." IEEE Transactions on Instrumentation and Measurement 57, no. 4 (April 2008): 813–19. http://dx.doi.org/10.1109/tim.2007.913824.

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17

Hussein, Husham. "State Estimation via Phasor Measurement Units for Iraqi National Super Grid Power System Network." Iraqi Journal for Electrical and Electronic Engineering 12, no. 1 (June 1, 2016): 12–22. http://dx.doi.org/10.37917/ijeee.12.1.2.

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In this paper describes the operation of power system networks to be nearest to stability rated values limits. State estimation for monitoring and protection power system is very important because it provides a real-time (RT) Phase angle of different nodes of accuracy and then analysis and decided to choose control way (methods). In order to detect the exact situation (instant state) for power system networks parameters. In this paper proposes a new monitoring and analysis system state estimation method integrating with MATLAB environment ability, by using phasor measurement units (PMU's) tech

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Kolosok, Irina, Elena Korkina, and Aleksandr Tikhonov. "Use of phasor measurements for modeling FACTS at the electric power system state estimation." E3S Web of Conferences 139 (2019): 01025. http://dx.doi.org/10.1051/e3sconf/201913901025.

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As the Smart Grid is being developed in the Russian Federation, a need in FACTS arises at resolving the issues of increasing the transmission capacity of electric power lines, voltage control, etc. The paper considers the issues of installing phasor measurement units (PMU) at the FACTS for the electric power system state estimation of (EPS SE). The relevance of the paper is explained by the mandatory introduction of PMUs at newly commissioned power engineering facilities (PEF) scheduled for 2020 and farther. PMUs registering voltage and current phasors at FACTS allow increasing the precision o

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19

Zhou, Zhiguo, Ruliang Lin, Lifeng Wang, Yi Wang, and Hansen Li. "Research on Discrete Fourier Transform-Based Phasor Measurement Algorithm for Distribution Network under High Frequency Sampling." Energies 11, no. 9 (August 23, 2018): 2203. http://dx.doi.org/10.3390/en11092203.

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This paper proposes a phasor measurement algorithm that is suitable for a distribution network. Under the condition of fixed interval and high frequency sampling, the algorithm uses a dynamic calibration factor to correct the traditional Discrete Fourier Transform (DFT) algorithm, which solves the shortcomings of the rapid decline in traditional algorithm measurement accuracy under the condition of power system frequency deviation or dynamic measurement. Under the high sampling rate of the international distribution network waveform data, the conventional phasor is used to represent the theore

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20

Ponnala, Ravi, Muktevi Chakravarthy, and Suraparaju Venkata Naga Lakshmi Lalitha. "Performance and comparison of different phasor calculation techniques for the power system monitoring." Bulletin of Electrical Engineering and Informatics 11, no. 3 (June 1, 2022): 1246–53. http://dx.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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21

Tajdinian, Mohsen, Shahram Montaser Kouhsari, Kazem Mohseni, and Mehdi Zareian Jahromi. "A novel method for decaying DC component removal with regard to frequency fluctuations." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 1 (January 4, 2016): 270–88. http://dx.doi.org/10.1108/compel-01-2015-0009.

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Purpose – Decaying DC component has important effect on extracting the fundamental component phasor. It directly affects the precision of protective relaying algorithms which act based on fundamental frequency component. It can be noted that decaying DC component, harmonic components and off-nominal frequency conditions are the major issues which strongly effect phasor estimation. The paper aims to discuss these issues. Design/methodology/approach – This paper proposes a novel hybrid approach for fundamental phasor estimation in order to remove the decaying DC component using Hilbert Transform

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22

Gholami, Mohammad, Ali Abbaspour Tehrani-Fard, Matti Lehtonen, Moein Moeini-Aghtaie, and Mahmud Fotuhi-Firuzabad. "A Novel Multi-Area Distribution State Estimation Approach for Active Networks." Energies 14, no. 6 (March 23, 2021): 1772. http://dx.doi.org/10.3390/en14061772.

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This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units. The proposed algorithm employs voltage-based state estimation in rectangular form and is well-designed for large-scale active distribution networks. For this purpose, as the first step, the distribution network is supposed to be divided into some overlapped zones and local state estimations are executed in parallel for extracting operating states of these zones. Then, using coordinators in the feeders and the subs

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23

Bernard, Lakshan, Sunny Goondram, Behrooz Bahrani, Athanasios A. Pantelous, and Reza Razzaghi. "Harmonic and Interharmonic Phasor Estimation Using Matrix Pencil Method for Phasor Measurement Units." IEEE Sensors Journal 21, no. 2 (January 15, 2021): 945–54. http://dx.doi.org/10.1109/jsen.2020.3009643.

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24

Dotta, Daniel, and Joe H. Chow. "Second Harmonic Filtering in Phasor Measurement Estimation." IEEE Transactions on Power Delivery 28, no. 2 (April 2013): 1240–41. http://dx.doi.org/10.1109/tpwrd.2013.2242701.

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25

Sidhu, T. S., X. Zhang, and V. Balamourougan. "A New Half-Cycle Phasor Estimation Algorithm." IEEE Transactions on Power Delivery 20, no. 2 (April 2005): 1299–305. http://dx.doi.org/10.1109/tpwrd.2004.834677.

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26

Rouhani, Alireza, and Ali Abur. "Linear Phasor Estimator Assisted Dynamic State Estimation." IEEE Transactions on Smart Grid 9, no. 1 (January 2018): 211–19. http://dx.doi.org/10.1109/tsg.2016.2548244.

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27

Weiqing Jiang, V. Vittal, and G. T. Heydt. "Diakoptic State Estimation Using Phasor Measurement Units." IEEE Transactions on Power Systems 23, no. 4 (November 2008): 1580–89. http://dx.doi.org/10.1109/tpwrs.2008.2002285.

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28

Dotta, Daniel, Joe H. Chow, and David B. Bertagnolli. "A Teaching Tool for Phasor Measurement Estimation." IEEE Transactions on Power Systems 29, no. 4 (July 2014): 1981–88. http://dx.doi.org/10.1109/tpwrs.2014.2311102.

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29

Atta, Khalid Tourkey, Andreas Johansson, and Thomas Gustafsson. "Extremum seeking control based on phasor estimation." Systems & Control Letters 85 (November 2015): 37–45. http://dx.doi.org/10.1016/j.sysconle.2015.08.010.

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30

Zhao, L., and A. Abur. "Multiarea State Estimation Using Synchronized Phasor Measurements." IEEE Transactions on Power Systems 20, no. 2 (May 2005): 611–17. http://dx.doi.org/10.1109/tpwrs.2005.846209.

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31

Krievs, Oskars, Ingars Steiks, and Leonids Ribickis. "A PLL Scheme for Synchronization with Grid Voltage Phasor in Active Power Filter Systems." Scientific Journal of Riga Technical University. Power and Electrical Engineering 27, no. 1 (January 1, 2010): 134–37. http://dx.doi.org/10.2478/v10144-010-0035-x.

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A PLL Scheme for Synchronization with Grid Voltage Phasor in Active Power Filter SystemsVoltage source inverters connected to the grid in applications such as active power filters require synchronization with the grid voltage. Since in practice the grid voltage can be unbalanced and distorted, but the operation of the whole active filter control system is strongly dependant on precise estimation of grid voltage phase, the fundamental positive sequence phasor of the grid voltage has to be extracted. In this paper a system for smooth estimation of the position of the voltage phasor at the point

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Hakimian, Vahid, and Hossein Seifi. "An Optimization-Based Robust Dynamic State Estimation for Power Systems with Synchronized Phasor Measurement Units, Involving Disturbance Rejection." International Transactions on Electrical Energy Systems 2023 (March 23, 2023): 1–22. http://dx.doi.org/10.1155/2023/1820478.

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State estimation provides the best estimate of the system states using a set of measurements that is divided into two main classes; static and dynamic types. The state estimator should provide an acceptable response in the presence of system changes and/or disturbances. To achieve this aim, considering the high rate of data changes and the high volume of exchanging information, the phasor measurement units could play an outstanding role. Furthermore, due to the inevitable errors of the measurements, and to provide an authentic estimate of the system states using the measured data, a state esti

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Tanyi, Emmanuel, and Edwin Mbinkar. "Real-Time State Estimation in the Cameroon Power System." ISRN Power Engineering 2013 (September 16, 2013): 1–10. http://dx.doi.org/10.1155/2013/871827.

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An important tool for the energy management system (EMS) is state estimation. Based on measurements taken throughout the network, state estimation gives an estimation of the state variables of the power system while checking that these estimates are consistent with the measurements. Currently, in the Cameroon power system, state estimates have been provided by ad hoc supervisory control and data acquisition (SCADA) systems. A disadvantage is that the measurements are not synchronised, which means that state estimation is not very precise during dynamic phenomena in the network. In this paper,

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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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Duda, Krzysztof, and Tomasz P. Zieliński. "Fir Filters Compliant with the IEEE Standard for M Class PMU." Metrology and Measurement Systems 23, no. 4 (December 1, 2016): 623–36. http://dx.doi.org/10.1515/mms-2016-0055.

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Abstract In this paper it is shown that M class PMU (Phasor Measurement Unit) reference model for phasor estimation recommended by the IEEE Standard C37.118.1 with the Amendment 1 is not compliant with the Standard. The reference filter preserves only the limits for TVE (total vector error), and exceeds FE (frequency error) and RFE (rate of frequency error) limits. As a remedy we propose new filters for phasor estimation for M class PMU that are fully compliant with the Standard requirements. The proposed filters are designed: 1) by the window method; 2) as flat-top windows; or as 3) optimal m

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Vazquez, Jon, Jose Felix Miñambres, Miguel Angel Zorrozua, and Jorge Lázaro. "Phasor Estimation of Transient Electrical Signals Composed of Harmonics and Interharmonics." Energies 14, no. 16 (August 20, 2021): 5166. http://dx.doi.org/10.3390/en14165166.

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Numerical relays have become essential tools for carrying out the protection and surveillance tasks of electrical power systems. These relays implement their functions from the phasors of the electrical network signals, estimated by digital processing using digital filters. Digital filters must meet certain requirements, such as providing a fast and effective response to increasingly complex transient signals made up of components that make the estimation process difficult. In addition to the decreasing exponential (decaying dc offset), harmonics, and signal noise, it must be added that the in

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Kim, Nam, and Kang. "Adaptive Phasor Estimation Algorithm Based on a Least Squares Method." Energies 12, no. 7 (April 10, 2019): 1387. http://dx.doi.org/10.3390/en12071387.

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This paper proposes an adaptive phasor estimation algorithm based on a least square method that can suppress the adverse effect of an exponentially decreasing DC offset component in a phasor estimation process. The proposed algorithm is composed of three stages: a basic least squares model, a time constant calculation, and an adaptive least squares model. First, we use the basic least squares model to estimate the parameter of the DC offset component in the fault current signal. This model is designed to incorporate fundamental frequency, and harmonic and constant components. Second, we use th

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Priyadarshi, Alok, Vishal Rathore, and Krishna Bihari Yadav. "Observability Enhancement of Smart Grid Based on Optimal Placement of PMUs." ECTI Transactions on Electrical Engineering, Electronics, and Communications 20, no. 3 (October 12, 2022): 383–91. http://dx.doi.org/10.37936/ecti-eec.2022203.247514.

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This paper presents an efficient observation concerning the enhancement of smart grid (SG) based on the optimal placement of phasor measurement units (OPP) using nonlinear programming (NLP). The proposed algorithm tries to achieve two objectives: (i) to ascertain the minimum number of phasor measurement units (PMUs) and (ii) to increase the redundancy of the SG at all the buses. Synchronized current and voltage phasors are obtained to enhance the accuracy of the state estimation results—a minimum number of PMUs results in a lack of communication facilities at the substation. PMU losses will le

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Rao, A. V. Koteswara, K. M. Soni, Sanjay Kumar Sinha, and Ibraheem Nasiruddin. "Dynamic phasor estimation using adaptive artificial neural network." International Journal of System Assurance Engineering and Management 12, no. 2 (March 13, 2021): 310–17. http://dx.doi.org/10.1007/s13198-021-01082-2.

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Huang, Chun, Xing Xie, and Hui Jiang. "Dynamic Phasor Estimation Through DSTKF Under Transient Conditions." IEEE Transactions on Instrumentation and Measurement 66, no. 11 (November 2017): 2929–36. http://dx.doi.org/10.1109/tim.2017.2713018.

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Duda, Krzysztof, Tomasz P. Zielinski, Andrzej Bien, and Szymon H. Barczentewicz. "Harmonic Phasor Estimation With Flat-Top FIR Filter." IEEE Transactions on Instrumentation and Measurement 69, no. 5 (May 2020): 2039–47. http://dx.doi.org/10.1109/tim.2019.2918370.

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Tuttelberg, Kaur, and Jako Kilter. "Estimation of transmission loss components from phasor measurements." International Journal of Electrical Power & Energy Systems 98 (June 2018): 62–71. http://dx.doi.org/10.1016/j.ijepes.2017.11.040.

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de Apráiz, Matilde, Ramón Diego, and Julio Barros. "An Extended Kalman Filter Approach for Accurate Instantaneous Dynamic Phasor Estimation." Energies 11, no. 11 (October 26, 2018): 2918. http://dx.doi.org/10.3390/en11112918.

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This paper proposes the application of a non-linear Extended Kalman Filter (EKF) for accurate instantaneous dynamic phasor estimation. An EKF-based algorithm is proposed to better adapt to the dynamic measurement requirements and to provide real-time tracking of the fundamental harmonic components and power system frequencies. This method is evaluated using dynamic compliance tests defined in the IEEE C37.118.1-2011 synchrophasor measurement standard, providing promising results in phasor and frequency estimation, compliant with the accuracy required in the case of off-nominal frequency, ampli

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Lopac, Nikola, Neven Bulic, and Niksa Vrkic. "Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators." Energies 12, no. 9 (April 27, 2019): 1609. http://dx.doi.org/10.3390/en12091609.

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Synchronous generator load angle is a fundamental quantity for power system stability assessment, with possible real-time applications in protection and excitation control systems. Commonly used methods of load angle determination require additional measuring equipment, while existing research on load angle estimation for wound rotor synchronous generator has been limited to the estimator based on the generator’s phasor diagram and estimators based on artificial neural networks. In this paper, a load angle estimator for salient-pole wound rotor synchronous generator, based on a simple sliding

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Xu, Qunwei, Zhiquan Ma, Pei Li, Xiaolong Jiang, and Chaoqun Wang. "A Refined Taylor-Fourier Transform with Applications to Wideband Oscillation Monitoring." Electronics 11, no. 22 (November 14, 2022): 3734. http://dx.doi.org/10.3390/electronics11223734.

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The recent increase in renewable energy adoption has enhanced the penetration rate of electronic equipment, leading to an increased risk of wideband oscillations. Existing wide-area measurement systems mainly focus on fundamental phasors, which cannot effectively monitor wideband oscillations. This study presents an accurate wideband oscillation monitoring method based on radial basis function (RBF) neural networks and Taylor–Fourier transform (TFT). First, discrete Fourier transform is used to obtain a preliminary estimation of the oscillation signal, and then, TFT is adopted to obtain a prec

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Khashroum, Zeyad, Ali Dehghan Chaharabi, Lorena Palmero, and Keiichiro Yasukawa. "ESTABLISHMENT AND PLACEMENT OF A MULTI-PURPOSE PHASOR MEASUREMENT UNIT TO IMPROVE PARALLEL STATE ESTIMATION IN DISTRIBUTION NETWORKS." Engineering Science & Technology Journal 3, no. 1 (September 26, 2021): 1–17. http://dx.doi.org/10.51594/estj.v3i1.256.

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Today, microgrids in distribution networks are in dire need of improvement to cope with economic challenges, human losses, and equipment placement issues. Today, there is the issue of scattered resources in distribution systems, which has created many problems in the areas of environment, economy, and human and animal losses. The most important challenge in this section is the existence of voltage and frequency fluctuations during the occurrence of possible events such as severe load changes or errors in distribution networks. Having such a big problem can call a distribution network into ques

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Matsukawa, Watanabe, Wahab, and Othman. "Voltage Stability Index Calculation by Hybrid State Estimation based on Multi Objective Optimal Phasor Measurement Unit Placement." Energies 12, no. 14 (July 12, 2019): 2688. http://dx.doi.org/10.3390/en12142688.

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Operation of a power system close to the voltage stability limit due to increasing of load demand and limited power sources may result in disastrous economic loss with voltage collapse of the entire power system. A system operator has to understand how far the system is from the critical boundary of the voltage collapse. This paper investigated the influence of State Estimation (SE) in the calculation of the Critical Boundary Index (CBI) as a voltage stability index. For SE, Hybrid State Estimation (HSE), including the measurement set of both Remote Terminal Unit (RTU) in Supervisory Control a

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Kong, Wang, Yuan, and Yu. "Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation." Applied Sciences 9, no. 7 (April 11, 2019): 1515. http://dx.doi.org/10.3390/app9071515.

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A phasor measurement unit (PMU) can provide phasor measurements to the distribution network to improve observability. Based on pre-configuration and existing measurements, a network compression method is proposed to reduce PMU candidate locations. Taking the minimum number of PMUs and the lowest state estimation error as the objective functions and taking full observability of distribution network as the constraint, a multi objective model of optimal PMU placement (OPP) is proposed. A hybrid state estimator based on supervisory control and data acquisition (SCADA) and PMU measurements is propo

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Kwon, Young-Jin, and Sang-Tae Kim. "Modified Dynamic Phasor Estimation Method During a Transient Period." Journal of International Council on Electrical Engineering 1, no. 2 (April 2011): 175–80. http://dx.doi.org/10.5370/jicee.2011.1.2.175.

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Ebrahimzadeh, Esmaeil, Shahrokh Farhangi, Hossein Iman-Eini, Firouz Badrkhani Ajaei, and Reza Iravani. "Improved Phasor Estimation Method for Dynamic Voltage Restorer Applications." IEEE Transactions on Power Delivery 30, no. 3 (June 2015): 1467–77. http://dx.doi.org/10.1109/tpwrd.2014.2366241.

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