Wide Area Monitoring Protection and Control Design Based on Machine Learning and Advanced Signal Processing for Large Scale Electric Power Systems

Büyük Ölçekli Güç Sistemlerinde İleri İşaret İşleme ve Makine Öğrenmesi Tabanlı Geniş Alan İzleme Koruma ve Kontrol Sistemi Tasarımı

 

Project Details

Funding institution: The Scientific and Technological Research Council of Turkey (TÜBİTAK)

Funding program: 1001 – Scientific and Technological Research Projects Funding Program

Project no: 118E184

Start date: October 2018

Duration: 24 months

Principal Investigator: Prof. Dr. V. M. Istemihan Genc

Researchers:  Assoc. Prof. Dr. Yusuf Yaslan & Assoc. Prof. Dr. Yaprak Yalcin, Dr. Mohammad Mahdi

Advisor: Prof. Dr. S. Serhat Seker

 

Project Summary

Catastrophic faults that lead to transient instability in electrical power systems may trigger fast evolving widespread outages such as blackouts. In recent years, Wide Area Measurement Protection and Control (WAMPAC) systems are adopted in modern power systems to increase the system observability and security. In this project, it is aimed to detect the instantaneous and fast propagating transient instabilities that are occurring in large scale interconnected power systems faster (earlier) than real time, and to prevent system collapses by applying emergency corrective control measures within the WAMPAC environment.

The main objectives of the project are

  • to detect and identify the faults that may occur in the power system based on synchrophasor measurements,
  • to early predict the transient instabilities in an online manner via interpretation of synchrophasor measurements,
  • to calculate the severity level of a fault that leads to a transient instability,
  • to design emergency corrective control schemes against evolving transient instabilities.

Project Outputs (to date)

Journal Articles
  • Saner, C. B., Kesici, M., Mahdi, M., Yaslan, Y., & Genc, V. M. I. (2019). Güç Sistemlerinde Geçici Hal Kararsızlığının Arıza Öncesi Fazör Ölçümleri Kullanarak Karar Ağacı Tabanlı Kestirimi. (Early Prediction of Transient Instabilities Based on Pre-Fault Phasor Measurements using Decision Tree-based Methods).
    Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6–14.
    doi:10.19113/sdufenbed.474888
    full text (in Turkish)
Conference Proceedings
  • Kesici, M., Saner, C. B., Yaslan, Y., & Genc, V. M. I. (2019). Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks. (accepted In ELECO 2019 –11th International Conference on Electrical and Electronics Engineering)
  • Saner, C. B., Kesici, M., Yaslan, Y., & Genc, V. M. I. (2019). Improving the Performance of Transient Stability Prediction using Resampling Methods. (accepted In ELECO 2019 –11th International Conference on Electrical and Electronics Engineering)
  • Jafarzadeh, S., Moarref, N., Yaslan, Y., & Genc, V. M. I. (2019). A CNN-Based Post-Contingency Transient Stability Prediction Using Transfer Learning. (accepted In ELECO 2019 –11th International Conference on Electrical and Electronics Engineering)
  • Moarref, N., Jafarzadeh, S., Yaslan, Y., & Genc, V. M. I. (2019). A Transient Stability Prediction Method based on Multi-Channel Convolutional Neural Networks Using Time Series of PMU Measurements. (accepted In ELECO 2019 –11th International Conference on Electrical and Electronics Engineering)
  • Kesici, M., Saner, C. B., Mahdi, M., Yaslan, Y., & Genc, V. M. I. (2019). Wide Area Measurement Based Online Monitoring and Event Detection Using Convolutional Neural Networks.
    In ICSG 2019 – 7th International Istanbul Smart Grids and Cities Congress and Fair.
    doi: 10.1109/SGCF.2019.8782365
    full text
  • Kesici, M., Saner, C. B., Mahdi, M., Yaslan, Y., & Genc, V. M. I. (2019). An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems.
    In ICSG 2019 – 7th International Istanbul Smart Grids and Cities Congress and Fair.
    doi: 10.1109/SGCF.2019.8782314
    full text
  • Saner, C. B., Kesici, M., Mahdi, M., Yaslan, Y., & Genc, V. M. I. (2019). Wide Area Measurement-based Transient Stability Prediction using Long Short-Term Memory Networks.
    In ICSG 2019 – 7th International Istanbul Smart Grids and Cities Congress and Fair.
    doi: 10.1109/SGCF.2019.8782391
    full text
  • Kesici, M., Saner, C. B., Mahdi, M., Yaslan, Y., & Genc, V. M. İ. (2018). Güç Sistemlerinde Geçici Hal Kararsızlığının Ağaç Tabanlı Makine Öğrenmesi Yöntemleri ile Erken Tespiti. (Early Prediction of Transient Instabilities in Power Systems Using Tree Based Machine Learning Techniques).
    In Cigre Güç Sistemleri Konferansı 2018.
    doi:10.5281/zenodo.1482634
    full text (in Turkish)
M. Sc. Theses
  • Kesici, M. (2019). Güç sistemlerinde geçici hal kararsızlığının ve gelişiminin derin öğrenme ve karar ağacı tabanlı yöntemler ile geniş alan ölçümlerine dayalı olarak erken kestirimi. (Wide area measurement based early prediction of  power system transient instability and its evolution using deep learning and decision tree based algorithms.)
    in press
  • Saner, C. B. (2019). An ensemble learning model for wide-area measurement based transient stability assessment in power systems.
    in press