Yitian Dai

Yitian Dai is a Research Associate at the Department of Electrical and Electronic Engineering, University of Manchester, affiliated with the Supergen Energy Networks Hub. His work focuses on cascading blackout analysis and resilience assessment in future low-carbon energy systems, contributing to UN Sustainable Development Goals related to sustainable energy and infrastructure resilience.

His research expertise spans power systems, renewable energy integration, and advanced modeling techniques. Key areas include cascading failure dynamics, resilience evaluation, and the application of dynamic modeling tools such as DIgSILENT PowerFactory. He explores challenges posed by increasing renewable energy penetration and develops mitigation strategies for power grid vulnerabilities.

Yitian’s contributions address critical issues in energy systems, such as enhancing grid stability through dynamic simulations and assessing risks associated with wind energy integration. His work bridges theoretical analysis and practical applications, leveraging computational methods to improve power system reliability.

He is part of the Supergen Energy Networks Hub, a collaborative platform advancing low-carbon energy solutions. While no formal advising roles or grants are detailed here, his research aligns with interdisciplinary efforts in sustainable energy systems.