Improving Power System Resilience with Enhanced Monitoring, Control, and Protection Algorithms

Authors Nidarshan Veerakumar , Aleksandar Boričić , Ilya Tyuryukanov , Marko Tealane , Matija Naglič , Maarten Van Riet, Danny Klaar, Arjen Jongepier, Jorrit Bos, Mohammad Golshani, Gert Rietveld, Mart van der Meijden, Marjan Popov



PDF
Thumbnail PDF

File

OASIcs.Commit2Data.7.pdf
  • Filesize: 3.69 MB
  • 18 pages

Document Identifiers

Author Details

Nidarshan Veerakumar
  • Faculty of EEMCS, Delft University of , Technology, The Netherlands
Aleksandar Boričić
  • Faculty of EEMCS, Delft University of , Technology, The Netherlands
Ilya Tyuryukanov
  • Faculty of EEMCS, Delft University of , Technology, The Netherlands
Marko Tealane
  • Elering AS, Tallinn, Estonia
Matija Naglič
  • TenneT TSO B.V., Arnhem, The Netherlands
Maarten Van Riet
  • Alliander DSO B.V., Arnhem, The Netherlands
Danny Klaar
  • TenneT TSO B.V., Arnhem, The Netherlands
Arjen Jongepier
  • Stedin B.V., Rotterdam, The Netherlands
Jorrit Bos
  • TenneT TSO B.V., Arnhem, The Netherlands
Mohammad Golshani
  • General Electric Digital, Edinborough, UK
Gert Rietveld
  • VSL / University of Twente, Enschede, The Netherlands
Mart van der Meijden
  • TenneT TSO B.V., Arnhem, The Netherlands
  • Delft University of Technology, The Netherlands
Marjan Popov
  • Faculty of EEMCS, Delft University of Technology, The Netherlands

Cite AsGet BibTex

Nidarshan Veerakumar, Aleksandar Boričić, Ilya Tyuryukanov, Marko Tealane, Matija Naglič, Maarten Van Riet, Danny Klaar, Arjen Jongepier, Jorrit Bos, Mohammad Golshani, Gert Rietveld, Mart van der Meijden, and Marjan Popov. Improving Power System Resilience with Enhanced Monitoring, Control, and Protection Algorithms. In Commit2Data. Open Access Series in Informatics (OASIcs), Volume 124, pp. 7:1-7:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/OASIcs.Commit2Data.7

Abstract

This paper deals with the essentials of synchrophasor’s applications for future power systems to increase system reliability and resilience, which have been investigated within a four-year research project. The project has several applications, covering real-time disturbance detection and blackout prevention distributed across multiple work-packages. Firstly, an advanced big-data management platform built in a real-time digital simulation (RTDS) environment is described to support measurement data collection, processing, and sharing among stakeholders. This platform further presents and demonstrates a network-splitting methodology to avoid cascading failures. Online generator coherency identification is another synchrophasor application implemented on the platform, the use of which is demonstrated in the context of controlled network splitting. Using synchrophasors, data-analytics techniques can also identify and classify disturbances in real time with minor human intervention. Therefore, a novel centralized artificial intelligence (AI) based expert system is outlined to detect and classify critical events. Finally, the paper elaborates on developing advanced system resilience metrics for real-time vulnerability assessment of power systems with a high penetration of renewable energy, focusing on increasingly relevant dynamic interactions and system instability risks.

Subject Classification

ACM Subject Classification
  • Hardware → Power and energy
  • Theory of computation → Design and analysis of algorithms
Keywords
  • Grid Resilience
  • Synchrophasors
  • Real-time Cyber-Physical Experimental Testbed
  • Real-Time Monitoring
  • Protection
  • and Control
  • Event Detection Classification
  • Artificial Intelligence
  • Adaptive Incremental Learning
  • Controlled Islanding
  • Vulnerability
  • State Estimation
  • Dynamic Line and Cable Rating

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads

References

  1. Connection of wind farms to weak AC networks. Technical Report WG B4.62, CIGRE, 2016. URL: https://e-cigre.org/publication/671-connection-of-wind-farms-to-weak-ac-networks.
  2. IEEE Recommended Practice for Monitoring Electric Power Quality. pages 1-98, August 2019. Conference Name: IEEE Std 1159-2019 (Revision of IEEE Std 1159-2009). URL: https://doi.org/10.1109/IEEESTD.2019.8796486.
  3. Guest Editorial: Challenges and New Solutions for Enhancing Ancillary Services and Grid Resiliency in Low Inertia Power Systems. IET Generation, Transmission & Distribution, 14(22):4975-4977, 2020. URL: https://doi.org/10.1049/iet-gtd.2020.1491.
  4. Frank Baldinger, Ton Jansen, Maarten van Riet, and Frans Volberda. Nobody knows the future of Smart Grids, therefore separate the essentials in the secondary system. In 10th IET International Conference on Developments in Power System Protection (DPSP 2010). Managing the Change, pages 1-5, March 2010. URL: https://doi.org/10.1049/cp.2010.0210.
  5. Aleksandar Boričić, Jose Luis Rueda Torres, and Marjan Popov. Fundamental study on the influence of dynamic load and distributed energy resources on power system short-term voltage stability. International Journal of Electrical Power & Energy Systems, 131, October 2021. URL: https://doi.org/10.1016/j.ijepes.2021.107141.
  6. Aleksandar Boričić, Jose Luis Rueda Torres, and Marjan Popov. Quantifying the Severity of Short-term Instability Voltage Deviations. In 2022 International Conference on Smart Energy Systems and Technologies (SEST), pages 1-6, September 2022. URL: https://doi.org/10.1109/SEST53650.2022.9898503.
  7. Aleksandar Boričić, Jose Luis Rueda Torres, and Marjan Popov. System Strength: Classification, Evaluation Methods, and Emerging Challenges in IBR-dominated Grids. In 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), pages 185-189, November 2022. ISSN: 2378-8542. URL: https://doi.org/10.1109/ISGTAsia54193.2022.10003499.
  8. Aleksandar Boričić, Jose Luis Rueda Torres, and Marjan Popov. Beyond SCR in Weak Grids: Analytical Evaluation of Voltage Stability and Excess System Strength. In International Conference on Future Energy Solutions (FES2023), pages 1-6, June 2023. URL: https://doi.org/10.1109/FES57669.2023.10183286.
  9. Aleksandar Boričić, Jose Luis Rueda Torres, and Marjan Popov. Quantification and classification of short-term instability voltage deviations. IEEE Transactions on Industry Applications, June 2023. URL: https://doi.org/10.1109/TIA.2023.3289931.
  10. Aleksandar Boričić, José L. Rueda Torres, and Marjan Popov. Comprehensive Review of Short-Term Voltage Stability Evaluation Methods in Modern Power Systems. Energies, 14(14):4076, January 2021. Number: 14 Publisher: Multidisciplinary Digital Publishing Institute. URL: https://doi.org/10.3390/en14144076.
  11. Song Changpo, Bai Jie, Shen Yan, Wang Tianzheng, and Lu Shan. A new detection method of power quality disturbance signal. In J Liu, Y Wang, and H Xu, editors, Proceedings of the 2015 international conference on intelligent systems research and mechatronics engineering, volume 121 of Advances in Intelligent Systems Research, pages 267-271. Atlantis press, 2015. ISSN: 1951-6851 Type: Proceedings Paper. Google Scholar
  12. Jose J. Chavez, Nidarshan Veera Kumar, Sadegh Azizi, Jose L. Guardado, Jose Rueda, Peter Palensky, Vladimir Terzija, and Marjan Popov. PMU-voltage drop based fault locator for transmission backup protection. Electric Power Systems Research, 196:107188, July 2021. URL: https://doi.org/10.1016/j.epsr.2021.107188.
  13. Jose J. Chavez, Nidarshan. Veera Kumar, Marjan. Popov, Peter. Palensky, Sadegh Azizi, Enrique Melgoza, and Vladimir Terzija. Non-Homogeneous Sampling Rate Wide Area Backup Protection using Synchrophasors and IED Data. In 2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), pages 1-6, May 2022. URL: https://doi.org/10.1109/SGSMA51733.2022.9806006.
  14. Hassan Haes Alhelou, Mohamad Esmail Hamedani-Golshan, Takawira Cuthbert Njenda, and Pierluigi Siano. A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges. Energies, 12(4):682, January 2019. Number: 4 Publisher: Multidisciplinary Digital Publishing Institute. URL: https://doi.org/10.3390/en12040682.
  15. Nikos Hatziargyriou, Jovica Milanovic, Claudia Rahmann, and et al. Definition and Classification of Power System Stability – Revisited & Extended. IEEE Transactions on Power Systems, 36, July 2021. URL: https://doi.org/10.1109/TPWRS.2020.3041774.
  16. Masoud Karimi, Hossein Mokhtari, and M Reza Iravani. Wavelet based on-line disturbance detection for power quality applications. IEEE Transactions on Power Delivery, 15(4), October 2000. URL: https://doi.org/10.1109/61.891505.
  17. Yuri V. Makarov, Victor I. Reshetov, Andrei. Stroev, and I. Voropai. Blackout Prevention in the United States, Europe, and Russia. Proceedings of the IEEE, 93(11):1942-1955, November 2005. URL: https://doi.org/10.1109/JPROC.2005.857486.
  18. Davide Maltoni and Vincenzo Lomonaco. Continuous learning in single-incremental-task scenarios. Neural Networks, 116:56-73, 2019. Publisher: Elsevier. URL: https://doi.org/10.1016/j.neunet.2019.03.010.
  19. Federico Milano, Florian Dörfler, Gabriela Hug, David J. Hill, and Gregor Verbič. Foundations and Challenges of Low-Inertia Systems (Invited Paper). In 2018 Power Systems Computation Conference (PSCC), pages 1-25, June 2018. URL: https://doi.org/10.23919/PSCC.2018.8450880.
  20. Matija Naglic. On power system automation: Synchronised measurement technology supported power system situational awareness. Dissertation (tu delft), Delft University of Technology, 2020. URL: https://doi.org/10.4233/uuid:33a9138f-7224-4734-a326-d90a9d5980c1.
  21. Matija Naglic, Lian Liu, Ilya Tyuryukanov, Marjan Popov, Mart AMM van der Meijden, and Vladimir Terzija. Synchronized measurement technology supported AC and HVDC online disturbance detection. Electric Power Systems Research, 160:308-317, 2018. URL: https://doi.org/10.1016/j.epsr.2018.03.007.
  22. Matija Naglic, Marjan Popov, Mart AMM van der Meijden, and Vladimir Terzija. Synchro-measurement application development framework: An IEEE standard C37. 118.2-2011 supported MATLAB library. IEEE Transactions on Instrumentation and Measurement, 2018. Google Scholar
  23. Reza Pourramezan, Houshang Karimi, and Jean Mahseredjian. Real-Time Disturbance Detection and Classification using Principal Component Analysis of PMU Data. In IEEE Power and Energy Society General Meeting PESGM. IEEE, 2020. Google Scholar
  24. José A. Rosendo-Macías, Antonio Gómez-Expósito, Alfonso Bachiller-Soler, Miguel Á. González-Cagigal, Gabriel Álvarez Cordero, Lucía Mateo-Sánchez, and Antonio Useros-García. The Spanish Experience: Squeezing Line Ampacities Through Dynamic Line Rating. IEEE Power and Energy Magazine, 21(1):73-82, January 2023. URL: https://doi.org/10.1109/MPE.2022.3219167.
  25. Marko Tealane, Jako Kilter, Oleg Bagleybter, Birkir Heimisson, and Marjan Popov. Out-of-Step Protection Based on Discrete Angle Derivatives. IEEE Access, 10:78290-78305, 2022. URL: https://doi.org/10.1109/ACCESS.2022.3193390.
  26. Marko Tealane, Jako Kilter, Marjan Popov, Oleg Bagleybter, and Danny Klaar. Online Detection of Out-of-Step Condition Using PMU-Determined System Impedances. IEEE Access, 10:14807-14818, 2022. URL: https://doi.org/10.1109/ACCESS.2022.3149103.
  27. Vladimir Terzija, Gustavo Valverde, Deyu Cai, Pawel Regulski, Vahid Madani, John Fitch, Srdjan Skok, Miroslav M. Begovic, and Arun Phadke. Wide-Area Monitoring, Protection, and Control of Future Electric Power Networks. Proceedings of the IEEE, 99(1), January 2011. URL: https://doi.org/10.1109/JPROC.2010.2060450.
  28. Ilya Tyuryukanov, Jorrit A. Bos, Mart AMM van der Meijden, Vladimir Terzija, and Marjan Popov. Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy. IEEE Transactions on Power Delivery, 2023. URL: https://doi.org/10.1109/TPWRD.2023.3249124.
  29. Ilya Tyuryukanov, Marjan Popov, Mart A. M. M. van der Meijden, and Vladimir Terzija. Slow Coherency Identification and Power System Dynamic Model Reduction by Using Orthogonal Structure of Electromechanical Eigenvectors. IEEE Transactions on Power Systems, 36(2):1482-1492, March 2021. URL: https://doi.org/10.1109/TPWRS.2020.3009628.
  30. Nidarshan Veerakumar, Jochen L. Cremer, and Marjan Popov. Dynamic Incremental Learning for real-time disturbance event classification. International Journal of Electrical Power & Energy Systems, 148:108988, June 2023. URL: https://doi.org/10.1016/j.ijepes.2023.108988.
  31. Nidarshan Veerakumar, Dragan Ćetenović, Krit Kongurai, Marjan Popov, Arjen Jongepier, and Vladimir Terzija. PMU-based Real-time Distribution System State Estimation Considering Anomaly Detection, Discrimination and Identification. International Journal of Electrical Power & Energy Systems, 148:108916, June 2023. URL: https://doi.org/10.1016/j.ijepes.2022.108916.
  32. Peter Wall, Papiya Dattaray, Zhaoyang Jin, Priyanka Mohapatra, James YU, Douglas Wilson, Karine hay, Stuart Clark, Mark Osborne, Phillip M. Ashton, and Vladimir Terzija. Deployment and demonstration of wide area monitoring system in power system of Great Britain. Journal of Modern Power Systems and Clean Energy, 4(3):506-518, July 2016. URL: https://doi.org/10.1007/s40565-016-0218-3.
  33. Pei Zhang, Fangxing Li, and Navin Bhatt. Next-Generation Monitoring, Analysis, and Control for the Future Smart Control Center. IEEE Transactions on Smart Grid, 1(2):186-192, September 2010. URL: https://doi.org/10.1109/TSG.2010.2053855.
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail