Valiev R.T., Erokhin P.M., Pazderin A.V. Dynamic Visualization Methods of Electric Power System State Based on Synchronized Vector Measurements

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Abstract

The use of synchronized vector measurement technology based on high-precision measurement of electrical regime parameters at various points of the EPS can significantly increase the observability of the processes occurring in the power system. Real-time visualization of the SVM makes it possible to achieve an increase in situational awareness of operational dispatch personnel, both in dispatch centers and at individual power system facilities, allowing responsible persons to respond faster to disturbances that arise in the system. The existing systems for data collection and operational dispatch control of both foreign and domestic manufacturers allow visualization of SVM both at the pace of the process and after the fact, keeping retrospective data, in case of disturbances in the EPS. The main visualization methods, as a rule, include: the use of contours (gradient display) of EPS characteristics (voltage angles, power flows in the system, etc.), the placement of pie charts and indicators to display bus voltage, load power lines, etc. and the use of combined indicators for displaying the direction of power flows in the system. Among the key trends in the field of visualization of measurement information for dispatching personnel, it is worth highlighting the increase in the representativeness of the system state due to a higher data update rate within the framework of the visualized EPS model and the identification of emergency conditions due to the processing of incoming data streams from PMU at the pace of the process with subsequent alarm formation for the dispatcher.

Keywords

state assessment, synchronized vector measurements, EPS state visualization.

Rustam T. Valiev Ph.D. (Engineering), Associate Professor, Department of Automated Electric Systems, Ural Power Engineering Institute, Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N. Yeltsin», Yekaterinburg, Russia, https://orcid.org/0000-0002-8603-3246

Petr M. Erokhin D.Sc. (Engineering), Professor, Full Professor Researcher, Department of Automated Electric Systems, Ural Power Engineering Institute, Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin», Yekaterinburg, Russia

Andrey V. Pazderin D.Sc. (Engineering), Professor, Head of the Department, Department of Automated Electric Systems, Ural Power Engineering Institute, Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N. Yeltsin», Yekaterinburg, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., http://orcid.org/0000-0003-4826-2387

  1. Tate J.E. Event Detection and Visualization Based on Phasor Measurement Units for Improved Situational Awareness. Urbana. Illinois, University of Illinois at Urbana-Champaign, 2008.
  2. Wang W. Advanced Wide-Area Monitoring System Design, Implementation, and Application. Knoxville, The University of Tennessee, 2021. 139 p.
  3. Schlaepfer F., Kelly T.C., Dewey A.G. An Interactive Load Flow Program. IEEE Trans. Power Appar. Syst. 1972, vol. PAS-91, Is. 1, pp. 78-84. doi: 10.1109/TPAS.1972.293293
  4. Pires de Azevedo G., Sieckenius de Souza C., Feijo B. En-hancing the human-computer interface of power system ap-plications. IEEE Trans. Power Syst. 1996, vol. 11, Is. 2, pp. 646-653. doi: 10.1109/59.496134
  5. Weber J.D., Overbye T.J. Voltage contours for power system visualization. IEEE Trans. Power Syst, 2000, vol. 15, Is. 1, pp. 404-409. doi: 10.1109/59.852151 
  6. Visualization of Power Systems and Components. Available at: https://pserc.wisc.edu/wp-content/uploads/sites/755/2018/ 08/S-18_Final-Report_Nov-2005.pdf (accessed 02 April 2022)
  7. Overbye T.J., Mao Z., Shetye K.S., Weber J.D. An interac-tive, extensible environment for power system simulation on the PMU time frame with a cyber security application. IEEE Texas Power and Energy Conference (TPEC). IEEE, 2017, pp. 1-6. doi: 10.1109/TPEC.2017.7868264 
  8. Mahadev P.M., Christie R.D. Envisioning power system data: concepts and a prototype system state representation. IEEE Trans. Power Syst. 1993, vol. 8, Is. 3, pp. 1084-1090. doi: 10.1109/59.260890
  9. Hock K.P., McGuiness D. Future State Visualization in Power Grid. IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Com-mercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2018, pp. 1-6. doi: 10.1109/EEEIC.2018.8494435
  10. Davis C.M., Tate J.E., Overbye T.J. Wide Area Phasor Data Visualization. 39th North Am. Power Symp. IEEE, 2007, pp. 246-252. doi: 10.1109/NAPS.2007.4402318
  11. Zhang G., Lee S., Caroll R., Zuo J., Beard L., Liu Y. Wide area power system visualization using real-time synchrophasor measurements. IEEE PES Gen. Meet. IEEE, 2010, pp. 1-7. doi: 10.1109/PES.2010.5588188
  12. Sriraphanth B., Wangdee W., Phunkasem P., Tanboonjit B., Chumnanvanichkul S. Wide-area visualization tool devel-opment for displaying Thailand power grid dynamics. Inter-national Electrical Engineering Congress (iEECON). IEEE, 2017, pp. 1-4. doi: 10.1109/IEECON.2017.8075748
  13. Gronquist J., Sethares W., Alvarado F., Lasseter R. Animated vectors for visualization of power system phenomena. IEEE Trans. Power Syst. 1996, vol. 11, Is. 1, pp. 267-273. doi: 10.1109/59.486105
  14. Wu Y.-K., Lee X.C., Hu C.Y., Su Po-En. Design of Visuali-zation Interface for Transmission Congestions. Energy Procedia, 2017, vol. 141, pp. 432-437. doi: 10.1016/j.egypro.2017.11.056
  15. Overbye T.J., Weber J. Smart Grid Wide-Area Transmission System Visualization. Engineering, 2015, vol. 1, Is. 4, pp. 466-474. doi: 10.15302/J-ENG-2015098
  16. Using PMU Data to Increase Situational Awareness Final Project Report. Available at: https://documents.pserc.wisc. edu/documents/publications/reports/2010_reports/S-36_Final-Report_Sept-2010.pdf (accessed 02 April 2022)
  17. Anderson M.D., Pottinger H.J., Schroeder C.M., Adapa R. Advanced graphics zoom in on operations. IEEE Comput. Appl. Power, 1993, vol. 6, Is. 2, pp. 25-28. doi: 10.1109/67.207468
  18. Wiegmann D.A., Essenberg G.R., Overbye T.J., Sun Y. Hu-man factor aspects of power system flow animation. IEEE Trans. Power Syst. 2005, vol. 20, Is. 3, pp. 1233-1240. doi: 10.1109/TPWRS.2005.851967
  19. Wiegmann D.A., Rich A.M., Overbye T.J., Sun Y. Human factors aspects of power system voltage contour visualizations. IEEE Trans. Power Syst. 2003, vol. 18, Is. 1, pp. 76-82. doi: 10.1109/TPWRS.2002.807060
  20. Gronquist J., Sethares W., Alvarado F., Lasseter R. Animated vectors for visualization of power system phenomena. IEEE Trans. Power Syst. 1996, vol. 11, Is. 1, pp. 267-273. doi: 10.1109/59.486105
  21. WAMS in the control room – a TSO perspective [Electronic resource]. Available at: https://www.naspi.org/sites/default/ files/2021-10/ 2021_oct_ naspi_wg_keynote_rubesa.pdf. (accessed 02 April 2022)
  22. Messina A.R., Vittal V., Ruiz-Vega D., Enriquez-Harper G. Interpretation and Visualization of Wide-Area PMU Meas-urements Using Hilbert Analysis. IEEE Trans. Power Syst. 2006, vol. 21, Is. 4, pp. 1763-1771. doi: 10.1109/TPWRS.2006.881153 
  23. Su H.-Y., Liu T.-Y. A PMU-Based Method for Smart Transmission Grid Voltage Security Visualization and Moni-toring. Energies, 2017, vol. 10(8), 1103. doi: 10.3390/en10081103
  24. Mukherjee A., Vallakati R., Lachenaud V., Ranganathan P. Using phasor data for visualization and data mining in smart-grid applications. IEEE First Int. Conf. DC Microgrids (ICDCM). IEEE, 2015, pp. 13-18. doi: 10.1109/ICDCM.2015.7152002
  25. Cokkinides G., Sakis Meliopoulos A., Stefopoulos G., Alaileh R., Mohan A. Visualization and Characterization of Stability Swings via GPS-Synchronized Data. 40th Annual Hawaii International Conference on System Sciences (HICSS). IEEE, 2007, pp. 120-120. doi: 10.1109/HICSS.2007.607

Valiev R.T., Erokhin P.M., Pazderin A.V. Dynamic Visualization Methods of Electric Power System State Based on Synchronized Vector Measurements. Elektrotekhnicheskie sistemy i kompleksy [Electrotechnical Systems and Complexes], 2022, no. 2(55), pp. 47-54. (In Russian). https://doi.org/10.18503/2311-8318-2022-2(55)-47-54

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