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The Use of PMU Data for Detecting and Monitoring Selected Electromagnetic Disturbances

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Języki publikacji
EN
Abstrakty
EN
Power quality (PQ) monitoring is important for both the utilities and also the users of electric power. The most widespread measurement instrument used for PQ monitoring is the PQM (Power Quality Monitor) or PQA (Power Quality Analyzer). In this paper we propose the usage of PMU data for PQ parameters monitoring. We present a new methodology of PQ parameters monitoring and classification based on PMU data. The proposed methodology is tested with real measurements performed in distribution system using dedicated PMU system.
Twórcy
  • AGH University of Science and Technology, Cracow, Poland
  • AGH University of Science and Technology, Cracow, Poland
  • AGH University of Science and Technology, Cracow, Poland
Bibliografia
  • [1] Z. Hanzelka, “Jakość dostawy energii elektrycznej – zaburzenia wartości skutecznej napięcia”, Wydawnictwa AGH, 2013
  • [2] J. R. Razo-Hernandez, M. Valeria-Rodriguez, J. P. Amezquita-Sanchez, D. Granados-Lieberman, J. F. Gomez-Aquilar, J. de J. Rangel-Magdaleno, “Homogeneity-PMU-based Method for detection and Classification of Power Quality Disturbances”, Electronics, no.7, 2018. . DOI: 10.3390/electronics7120433
  • [3] M. Biswal, Y Hao, S. Brahma, H. Cao, P. de Leon, “Signal features for classification of power system disturbances using PMU data”, 2016 Power Systems Computation Conference (PSCC), 20-24 June 2016. DOI:
  • [4] Synchrophasor Measurements for Power Systems, IEEE Standard C37.118.1, Dec. 2011.
  • [5] Synchrophasor Measurements for Power Systems - Amendment 1: Modification of Selected Performance Requirements, IEEE Standard C37.118.1a, Apr. 2014.
  • [6] K. Duda, T. P. Zieliński, S. Barczentewicz, “Perfectly flat-top and equiripple flat-top cosine Windows”, IEEE Transactions on Instrumentation and Measurement, vol. 65 iss. 7, 2016, s. 1558–1567. DOI:
  • [7] A. G. Phadke, J. S. Thorp, Computer Relaying For Power Systems, John Wiley and Sons, 2009.
  • [8] J. A. de la O Serna, “Dynamic Phasor Estimates for Power System Oscillation,” IEEE Trans. on Instrumentation and Measurement, vol. 56, no. 5, pp. 1648-1657, Oct. 2007. DOI:
  • [9] JS Hong, GD Sim, JH Choi, SJ Ahn, SY Yun, “Fault Location Method Using Phasor Measurement Units and Short Circuit Analysis for Power Distribution Networks”, Energies, 13(5), 1294; 2020. DOI:
  • [10] Meier, A.; Stewart, E.; McEachern, A.; Andersen, M.; Mehrmanesh, L. “Precision Micro-Synchrophasors for Distribution Systems: A Summary of Applications”, IEEE Trans Smart Grid, vol. 8, no. 6, pp. 2926–2936, November 2017. DOI:
  • [11] IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Standard 1159-2019.
  • [12] N. Constandache, D. M. Stanescu, M. Sanduleac, C. Stanescu, I. Tristiu, A. Mandis, “Smart Meters, PMU and PQ data analysis in Active Distribution Grids – Case Studies in MV networks”, International Conference on Applied and Theoretical Electricity ICATE 2018. DOI:
  • [13] M. Sanduleac, G. Lipari, A. Monti, A. Voulkidis, G. Zanetto, A. Corsi, L. Toma, G. Fiorentino, D. Federenciuc, “Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies”, Energies vol. 10, 857; 2017. DOI:
  • [14] IEC 61000-2-12 Compatibility levels for low frequency conducted disturbances and signaling in public medium - voltage power systems. DOI:
  • [15] ER P29 Planning Limits for voltage unbalance in the United Kingdom, The Electricity Council (UK), London, 1989
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dc3758d4-8251-44e6-88c4-3a14a606e8db
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