Research output per year
Research output per year
Personal profile
Overview
I am a Research Associate with the Supergen Energy Networks Hub at The University of Manchester. My research interests include cascading blackout analysis and resilience assessment of future low-carbon energy systems.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Areas of expertise
- TK Electrical engineering. Electronics Nuclear engineering
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Dive into the research topics where Yitian Dai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Risk Assessment and Mitigation of Cascading Failures Using Critical Line Sensitivities
Dai, Y., Noebels, M., Preece, R., Panteli, M. & Dobson, I., 15 Aug 2023, In: IEEE Transactions on Power Systems.Research output: Contribution to journal › Article › peer-review
Open AccessFile269 Downloads (Pure) -
Benefits and Challenges of Dynamic Modelling of Cascading Failures in Power Systems
Dai, Y., Preece, R. & Panteli, M., 2022.Research output: Contribution to conference › Paper › peer-review
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Risk Assessment of Cascading Failures in Power Systems with Increasing Wind Penetration
Dai, Y., Preece, R. & Panteli, M., 5 May 2022, (Accepted/In press) Power Systems Computation Conference 2022.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Evaluating the Effect of Dynamic and Static Modelling on Cascading Failure Analysis in Power
Dai, Y., Noebels, M., Panteli, M. & Preece, R., 2021.Research output: Contribution to conference › Paper › peer-review
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Python Scripting for DIgSILENT PowerFactory: Enhancing Dynamic Modelling of Cascading Failures
Dai, Y., Panteli, M. & Preece, R., 2021.Research output: Contribution to conference › Paper › peer-review