Research
Our lab''s core product is an optimization-based toolbox focused on the diagnosis and mitigation of high-impact threats (e.g. blackouts) in power systems, enhancing resilience across all stages of grid
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Shimiao Solar Power Generation Project
The Tarim Oilfield of China National Petroleum Corporation, China"s leading oil and gas producer, has successfully connected a 600,000-kilowatt photovoltaic (PV) power generation project to the grid in
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PUBLICATIONS
Shimiao Li. (2024) Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid. (Doctoral dissertation, Carnegie Mellon University).
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CDM: Gansu Zhangye 8.0MW Shimiao Stage II hydropower project
The operational/applicant entity working on this project has decided to make the Project Design Document (PDD) publicly available directly on the UNFCCC CDM website.
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Shimiao Li
My research interests include physics-informed machine learning, optimization and computational models, applied to anomaly/threat detection, estimation and other security analysis in the context of...
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The promising future of developing large-scale PV solar farms in
To address the challenges associated with grid integration costs and land consolidation in the site selection of large-scale PV power plants, this study proposes an innovative three-stage
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SHIMIAO LI
My research interests span across optimization, AI, and power grid resilience. My group develops targeted fast-acting decision support tools to identify and mitigate high-impact threats and
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The Status and Prospects of Solar Power Generation Technology
growth and success in the solar photovoltaic power generation market. As the world''s largest energy consumer, China''s commitment to renewable energy and its pursuit of a more sustainable energy
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China''s largest concentrated solar-thermal power
The project will convert solar energy into thermal power during the day, enabling stable power generation for up to eight hours during nighttime.
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Shimiao Li
Localizing failure: developed simulation method with infeasibility analysis capability to localize the dominant causes of failure for any power system that are found infeasible (i.e., in blackout) during
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