PRIMENA EXTENDED ISOLATION FOREST ALGORITMA ZA DETEKCIJU ANOMALIJA U PODACIMA ELEKTROENEREGETSKOG SISTEMA

37. саветовање CIGRE Србија (2025) СИГУРНОСТ, СТАБИЛНОСТ, ПОУЗДАНОСТ И RESILIENCE ЕЛЕКТРОЕНЕРГЕТСКОГ СИСТЕМА МУЛТИСЕКТОРСКО ПОВЕЗИВАЊЕ У ЕНЕРГЕТИЦИ И ПРИВРЕДИ – C2-21

АУТОР(И) / AUTHOR(S): Vladimir Bečejac, Dobrila Škatarić, Petar Lukić, Dragan Ćetenović

 

Download Full Pdf   

DOI:  10.46793/CIGRE37.C2.21

САЖЕТАК / ABSTRACT:

Detekcija anomalija u elektroenergetskim sistemima važna je za pouzdanost i stabilnost mreže, a posebno u kontekstu integracije obnovljivih izvora energije i sve veće složenosti strukture elektroenergetskog sistema. U ovom radu se istražuje primena Extended Isolation Forest (EIF) algoritma za detekciju anomalija u raznim merenjima koje operatori prenosnih sistema dobijaju u svakodnevnom radu. EIF predstavlja poboljšanu verziju standardnog Isolation Forest algoritma, omogućavajući bolju obradu podataka visoke dimenzionalnosti i veće preciznosti u otkrivanju odstupanja. Rezultati istraživanja ukazuju na sposobnost da EIF precizno otkrije anomalije u realnim i simuliranim podacima. Prikazani pristup može doprineti razvoju naprednih sistema za online nadzor i prevenciju poremećaja u elektroenergetskim sistemima.

КЉУЧНЕ РЕЧИ / KEYWORDS:

detekcija anomaija, pouzdanost, stabilnost, extended isolation forest

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

ЛИТЕРАТУРА / REFERENCES:

  • Aminifar, Farrokh, et al. „Impact of WAMS malfunction on power system reliability assessment.“ IEEE Transactions on Smart Grid 3.3 (2012): 1302-1309.
  • Wang, Yang, et al. „Reliability-based incremental PMU placement.“ IEEE Transactions on Power Systems 29.6 (2014): 2744-2752.
  •  Su, Heng-Yi, and Chih-Wen Liu. „Estimating the voltage stability margin using PMU measurements.“ IEEE Transactions on Power Systems 31.4 (2015): 3221-3229.
  • Yan, Jie, Chen-Ching Liu, and Umesh Vaidya. „PMU-based monitoring of rotor angle dynamics.“ IEEE Transactions on Power Systems 26.4 (2011): 2125-2133.
  • Liu, Guoping, and Vaithianathan Venkatasubramanian. „Oscillation monitoring from ambient PMU measurements by frequency domain decomposition.“ 2008 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2008.
  • Jiang, Quanyuan, et al. „PMU-based fault location using voltage measurements in large transmission networks.“ IEEE transactions on power delivery 27.3 (2012): 1644-1652.
  • Bečejac, Vladimir B. Optimalna postavka sinhrofazorskih uređaja za obezbeđenje potpune topološke opservabilnosti primenom metode Grebnerove baze. Diss. University of Belgrade (Serbia), 2020.
  • Martinelli, Marco, et al. „Electric power system anomaly detection using neural networks.“ International conference on knowledge-based and intelligent information and engineering systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.
  • Nishiya, K., J. Hasegawa, and T. Koike. „Dynamic state estimation including anomaly detection and identification for power systems.“ IEE proceedings C (generation, transmission and distribution). Vol. 129. No. 5. IEE, 1982.
  • Sun, Mucun, and Jie Zhang. „Data-driven anomaly detection in modern power systems.“ Security of cyber-physical systems: Vulnerability and Impact (2020): 131-143.
  • Liu, Fei Tony, Kai Ming Ting, and Zhi-Hua Zhou. „Isolation forest.“ 2008 eighth ieee international conference on data mining. IEEE, 2008.
  • Hariri, Sahand, Matias Carrasco Kind, and Robert J. Brunner. „Extended isolation forest.“ IEEE transactions on knowledge and data engineering 33.4 (2019): 1479-1489.
  • Hariri, S.; Carrasco Kind, M.; et al. Extended Isolation Forest. IEEE Transactions on Knowledge and Data Engineering, 2019: p. 1–1, ISSN 2326-3865, doi:10.1109/tkde.2019.2947676. Available from: http://dx.doi.org/10.1109/TKDE.2019.2947676
  • https://www.entsoe.eu/news/2021/01/26/system-separation-in-the-continental-europe-synchronous-area-on-8-january-2021-2nd-update/
  • https://www.entsoe.eu/news/2025/02/25/entso-e-publishes-the-final-report-on-the-grid-incident-in-south-east-europe/