Mehdi Mosadeghy

Dr. Mehdi Mosadeghy is an Adjunct Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on renewable energy integration into power systems, smart grid technologies, and grid reliability analysis. He holds a PhD in Engineering from The University of Queensland (2016), with a thesis titled Reliability impacts of increased wind generation in the Australian National Electricity Grid.

His work emphasizes advanced methods for evaluating renewable energy impacts, including deep learning applications for grid topology detection, multifractal analysis for cybersecurity, and time-dependent modeling of wind/solar capacity. He has collaborated extensively with Professors Ruifeng Yan and Tapan Saha on projects addressing high-penetration renewables, voltage stability, and grid interconnection effects.

Key contributions include:

• Analyzing solar PV and wind impacts on grid stability (IEEE TIA, 2021)
• Developing PMU-based topology detection using deep learning (IEEE TPWRS, 2022)
• Studying wind-hydro coordination in Tasmania (IEEE PES GM, 2013)

His research bridges electrical engineering fundamentals with modern computational techniques to address critical challenges in smart grid reliability and renewable integration.