Abstract and Biography
Abstract:
In the wake of escalating wildfire threats, utilities are faced with the imperative of ensuring power grid resilience while minimizing wildfire risks. This talk delves into two distinct, yet interrelated studies aimed at fortifying the power grid against the looming threat of wildfires. First, we journey through the intricacies of Public Safety Power Shut-off (PSPS) – a necessary, albeit short-term, mitigation strategy. Diving deeper, we unravel a robust, long-term expansion planning scheme. This scheme, grounded in quantifying wildfire ignition risks, offers a trifecta of solutions: addition of new lines, modification of existing lines, and harnessing the potential of Distributed Energy Resources (DERs). Navigating the uncertain terrains of DER performance and wildfire probabilities, we employ a two-stage robust optimization strategy, setting the stage for a resilient power grid. As we transition to our second study, the focus sharpens on the Wildfire Risk Aware Operation Planning problem (WRAP). Through this lens, we offer a novel approach enabling system operators to meticulously identify network segments warranting de-energization. Leveraging the intricate dance of power line vibrations, we turn to 3-D nonlinear equations to produce an invaluable dataset that marries structural, physical, and meteorological insights. This synthesis, when paired with machine learning, births a surrogate model adept at quantifying wildfire ignition risks for individual power lines under daunting weather challenges. Through real-world cases, the prowess of WRAP in mitigating wildfire risks during extreme weather conditions stands testament to its effectiveness. Join us as we chart the course for a future where power grids are not only resilient but also diligently mindful of the wildfire risks they navigate.
Biography:
Prior to joining the Department of Electrical and Computer Engineering at San Diego State University as an assistant professor, Dr. Manshadi was a postdoctoral fellow at the Department of Electrical and Computer Engineering at the University of California in Riverside, CA. He received a Ph.D. degree from Southern Methodist University in Dallas, TX; an M.S. degree from the University at Buffalo, the State University of New York (SUNY), Buffalo, NY; and a B.S. degree from the University of Tehran, in Tehran, Iran (all in electrical engineering). Dr. Manshadi also serves as an editor for IEEE Transactions on Vehicular Technology and as a reviewer for several IEEE Transactions journals including Smart Grid, Sustainable Energy, Power Systems, and Industrial Informatics. His current research interests include smart grids, microgrids, integrating renewable and distributed resources, and power system operation and planning.