Shoresh Shokoohi | Fault Detection | Editorial Board Member

Published on by Applied Scientist

Dr. Shoresh Shokoohi | Fault Detection | Editorial Board Member

University of Kurdistan | Iran

Dr. Shoresh Shokoohi is a distinguished researcher in power systems, smart microgrids, intelligent control, and condition monitoring, with a strong focus on advanced control strategies for voltage, frequency, and stability enhancement in inverter-based microgrids. His research emphasizes intelligent, data-driven, and model-based approaches—including fuzzy logic controllers, ANN-based self-tuning schemes, neuro-fuzzy systems, and optimization-based droop control—to ensure resilient, reliable, and autonomous operation of microgrids under dynamic conditions. Dr. Shokoohi has made notable contributions to intelligent secondary control, transient stability enhancement, load-frequency control, and robust online tuning methods, publishing influential works in top-tier journals such as IEEE Transactions on Smart Grid, International Journal of Electrical Power & Energy Systems, Electric Power Components and Systems, Optimization and Engineering, and Neural Computing & Applications. Extending beyond microgrid control, he has advanced the field of electric machine diagnostics through innovative model-based techniques, such as Luenberger observer–based fault detection, parity-equation methods, and current-noise cancellation for accurate bearing fault diagnosis. His interdisciplinary work integrates artificial intelligence, optimization algorithms, and intelligent control applications to address emerging challenges in smart grid reliability and inverter-based distributed generation. With a strong publication record across journals and conferences, Dr. Shoresh Shokoohi research continues to support the evolution of next-generation smart grids, providing practical, intelligent, and robust solutions that enhance the performance, stability, and resilience of modern power and energy systems.

Profile: Google Scholar

Featured Publications

  • Bevrani, H., & Shokoohi, S. (2013). An intelligent droop control for simultaneous voltage and frequency regulation in islanded microgrids. IEEE Transactions on Smart Grid, 4(3), 1505–1513.

  • Ahmadi, S., Shokoohi, S., & Bevrani, H. (2015). A fuzzy logic-based droop control for simultaneous voltage and frequency regulation in an AC microgrid. International Journal of Electrical Power & Energy Systems, 64, 148–155.

  • Bevrani, H., Habibi, F., & Shokoohi, S. (2013). ANN-based self-tuning frequency control design for an isolated microgrid. In Meta-heuristics Optimization Algorithms in Engineering, Business, Economics.

  • Khezri, R., Golshannavaz, S., Shokoohi, S., & Bevrani, H. (2016). Fuzzy logic-based fine-tuning approach for robust load frequency control in a multi-area power system. Electric Power Components and Systems, 44(18), 2073–2083.

  • Shokoohi, S., Golshannavaz, S., Khezri, R., & Bevrani, H. (2018). Intelligent secondary control in smart microgrids: An on-line approach for islanded operations. Optimization and Engineering, 19(4), 917–936.