Publications

 

Journal Articles

  1. Mahdi, M., & Genç, V. M. I. (2019). A real-time self-healing methodology using model- And measurement-based islanding algorithms.
    IEEE Transactions on Smart Grid, 10(2), 1195–1204.
    doi:10.1109/TSG.2017.2760698
    full text
  2. Kucuktezcan, C. F., Genç, V. M. I., & Erol, O. K. (2019). Preventive and Corrective Control Actions on Power Systems via Heuristic Optimization Methods with Consecutive Search Space Reduction.
    Electric Power Components and Systems, 47(1–2), 90–100.
    doi:10.1080/15325008.2019.1575933
    full text
  3. Genc, V. M. I., & Caliskan, F. (2019). Unknown Input Observer Based Robust Actuator Fault Detection and Isolation in Interconnected Power Systems.
    Balkan Journal of Electrical and Computer Engineering, 7(1), 6–14.
    doi:10.17694/bajece.470308
    full text
  4. Saner, C. B., Kesici, M., Mahdi, M., Yaslan, Y., & Genç, V. M. İ. (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)
  5. Mahdi, M., & Genc, V. M. I. (2018). Post-fault prediction of transient instabilities using stacked sparse autoencoder.
    Electric Power Systems Research, 164, 243–252.
    doi:10.1016/j.epsr.2018.08.009
    full text
  6. Jafarzadeh, S., Genc, V. M. I., & Cataltepe, Z. (2018). An Online Dynamic Security Assessment in Power Systems Using RBF-R Neural Networks.
    IETE Journal of Research, 2063.
    doi:10.1080/03772063.2018.1527258
    full text
  7. Jafarzadeh, S., & Genç, V. M. I. (2018). Probabilistic dynamic security assessment of large power systems using machine learning algorithms.
    Turkish Journal of Electrical Engineering and Computer Sciences, 26(3), 1479–1490.
    doi:10.3906/elk-1709-247
    full text
  8. Beyranvand, P., Genç, V. M. I., & Çataltepe, Z. (2018). Multilabel learning for the online transient stability assessment of electric power systems.
    Turkish Journal of Electrical Engineering and Computer Sciences, 26(5), 2661–2675.
    doi:10.3906/elk-1805-151
    full text
  9. Küçüktezcan, C. F., & Genç, V. M. I. (2017). Dynamic security enhancement of power systems using mean-variance mapping optimization.
    Turkish Journal of Electrical Engineering and Computer Sciences, 25(4), 3188–3200.
    doi:10.3906/elk-1608-147
    full text

Conference Proceedings

  1. 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
  2. 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
  3. 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
  4. Ayvaz, A. , & Genc, V. M. I. (2019). Information Gap Decision Theory based Multi-objective OPF for a Power System with Wind Energy Resources.
    In ICSG 2019 – 7th International Istanbul Smart Grids and Cities Congress and Fair.
    DOI: 10.1109/SGCF.2019.8782428
    full text
  5. Kesici, M., Saner, C. B., Mahdi, M., Yaslan, Y., & Genç, 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)
  6. Saner, C. B., & Genç, V. M. İ. (2018). Mikro Şebekelerde Ada Durumuna Geçiş Dinamiklerinin İncelenmesi. (Analysis of Microgrid Islanding Transition Dynamics).
    In Cigre Güç Sistemleri Konferansı 2018.
    doi:10.5281/zenodo.1482578
    full text (in Turkish)
  7. Mahdi, M., & Genc, V. M. I. (2017). Artificial neural network based algorithm for early prediction of transient stability using wide area measurements.
    In ICSG 2017 – 5th International Istanbul Smart Grids and Cities Congress and Fair, 17–21.
    doi:10.1109/SGCF.2017.7947611
    full text
  8. Kucuktezcan, C. F., Genc, V. M. I., & Erol, O. K. (2017). An optimization method for preventive control using differential evolution with consecutive search space reduction.
    In IEEE PES Innovative Smart Grid Technologies Conference Europe.
    doi:10.1109/ISGTEurope.2016.7856215
    full text
  9. Mahdi, M., & Genc, V. M. I. (2017). K-means and fuzzy relational eigenvector centrality-based clustering algorithms for defensive islanding.
    In IEEE PES Innovative Smart Grid Technologies Conference Europe.
    doi:10.1109/ISGTEurope.2016.7856210
    full text

Ph.D. Theses

  1. Mahdi, M. (2018). Wide-area measurement-based early prediction and corrective control for transient stability in power systems.
    Thesis no: 506374
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  2. Kucuktezcan, C. F. (2015). Dynamic security enhancement of power systems via population based optimization methods integrated with artificial neural networks.
    Thesis no: 397782
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M.Sc. Theses

  1. 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
  2. Saner, C. B. (2019). An ensemble learning model for wide-area measurement based transient stability assessment in power systems.
    in press
  3. Al Waeli, A. M. J. K. (2017). Islanding detection for microgrids using machine learning techniques.
    Thesis no: 485322
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  4. Jafarzadeh, S. (2017). A probabilistic dynamic security assessment of large power systems using artificial neural networks.
    Thesis no: 467089
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  5. Somarin, H. M. (2016). Designing a microgrid stabilizer using sliding mode controller.
    Thesis no: 421172
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  6. Asgharian, V. (2016). Optimized and coordinated voltage regulation in electrical distribution systems with distributed generators.
    Thesis no: 445053
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  7. Mahdi, M. (2013). Slow coherency based islanding and dynamic equivalencing in interconnected power systems.
    Thesis no: 335867
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