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DTSTART:20070311T020000
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DTSTAMP:20260909T145417
DTSTART;TZID=America/Detroit:20261029T153000
DTEND;TZID=America/Detroit:20261029T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Planning optimization approaches for power systems under wildfire-related decision-dependent uncertainty
DESCRIPTION:Abstract: \nThe interaction between power systems and wildfires can be dangerous and costly. Distribution grids can be liable for the outbreak of wildfires during extreme weather. In wildfire-prone areas\, investment planning should consider the impact of operational actions on wildfire-related uncertainties affecting line failure likelihood. To address this planning exercise\, we propose two decision-dependent uncertainty (DDU) aware  frameworks  to optimize the combination of upgrades to improve the system’s ability to deal with wildfires. The first one is two-stage distributionally robust planning optimization problem with DDU\, where the first stage determines optimal switching actions and line investments\, and the second stage evaluates the worst-case expected operational cost under a DDU framework designed to account for the endogenous impact of power-flow levels and hardening investment decisions in the line failure probabilities. The second one is a multi-horizon planning framework that integrates these timescales within a single distributionally robust stochastic optimization model to capture both long-term and short-term uncertainties. We develop an exact decomposition algorithm that produces coordinated investment and operational policies across both horizons.\n\nBiography:\nAlexandre Moreira is a research scientist in the Energy Technologies Area at Lawrence Berkeley National Laboratory. His research applies mathematical programming techniques to critical questions in power systems planning\, operations\, and economics\, with a particular focus on novel methodologies for transmission expansion planning that account for reliability and resilience. At Berkeley Lab\, he leads and collaborates on projects that develop foundational modeling frameworks and tools to (i) formulate risk-based optimization and decision-making models to propose transparent\, well-informed \"cost vs. risk\" tradeoffs for infrastructure planning\, and (ii) support the valuation of emerging technologies. He holds BSc and MSc degrees from PUC-Rio\, Brazil\, and a PhD from Imperial College London.\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147948-21902584@events.umich.edu
URL:https://events.umich.edu/event/147948
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:Francois-Xavier Bagnoud Building - FXB1012
CONTACT:
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