Dr. Mohsen Hosseinzadehtaher successfully defended his Ph.D. Dissertation

Dr. Mohsen Hosseinzadehtaher (former IPEG PhD candidate) successfully defended his PhD dissertation on October 19^th, 2022. He joined IPEG lab in Fall 2018. He will be joining Quanta Technologies as Senior Engineer in December 2022. IPEG lab wishes him the best of luck in his career and next chapter of his life. Congratulations, Dr. Hosseinzadehtaher!

Title of his Ph.D. Dissertation:  Resilient Operation of Active Distribution Networks via Self-learning Smart Devices

Summary of Dr. Hosseinzadehtaher Ph.D. Dissertation: The focus of this dissertation is to enhance the resiliency of active distribution networks which is the main challenge in upcoming power grid. An artificial intelligence-based power reference correction (AI-PRC) mechanism is developed to address the shortcomings of frequency restoration of the state-of-the-art virtual synchronous generator (VSG)-based or droop-based grid following inverters (GFLIs) and grid forming inverters (GFMIs) via re-defining GFLI role at grid-edge. A detailed analytical validation is provided that shows control rules in active distribution networks intrinsically follow the underlying dynamic of the swing-based machines to extend its stability boundary. Considering this fact, comprehensive transient and steady state-based mathematical models are used for constructing the learning database of the proposed AI-PRC mechanism. Subsequently, a neural network is trained by Bayesian Regularization Algorithm (BRA) to realize the proposed AI-PRC for GFLIs. The proposed training approach can deal with all grid characteristics alterations and uncertainties in future power grid. Thus, the proposed approach in this dissertation incorporates all network effective variables that shape its dynamic response during transient disturbances. Several case studies presented that evaluate the functionality of the proposed AI-PRC for GFLIs towards enhancing transient response and resiliency of active distribution networks. The provided evaluations demonstrate significant improvement in frequency restoration in response to transient disturbances.