Omar H. Abu-Rub, a researcher from Georgia Institute of Technology in collaboration with IPEG Ph.D. students, Amin Y. Fard, Muhammad Farooq Umar, and Mohsen Hosseinzadehtaher under Prof. Shadmand’s supervision have published an article in the IEEE Power Electronics Magazine

Omar H. Abu-Rub, a researcher from Georgia Institute of Technology in collaboration with Amin Y. Fard, Muhammad Farooq Umar, and Mohsen Hosseinzadehtaher, IPEG Ph.D. students under the supervision of Prof. Shadmand, have published an article entitled, "Towards Intelligent Power Electronics-Dominated Grid via Machine Learning Techniques" in the prestigious IEEE Power Electronics Magazine.

Overview: To achieve the goal of fully renewable generation, the traditional power system is evolving into a new paradigm called power electronics-dominated grid (PEDG) with inverter-based generation systems as the main provider. This transition leads to an augmented complexity and significance for device and system-level control schemes to maintain resiliency, reliability, and operational stability. Machine learning techniques have illustrated satisfactory performances in fault diagnosis and self-healing methods, wide-area control of the PEDG, and improving the cybersecurity of at the different layers of the PEDG from detection to mitigation of malicious activities.
This article provides a comprehensive overview of the applications of Machine Learning within the PEDG paradigm. Moreover, an inclusive roadmap for bringing these techniques from the research domain into real-world applications is presented.

Link: https://ieeexplore-ieee-org.proxy.cc.uic.edu/document/9359837