I am working towards a PhD degree with an interest in modelling and analysis of power systems. I am interested in understanding the drawbacks of existing power system protection standards and the impact of operational uncertainty on them. I am currently working on methods to better design protection schemes for bulk power systems and to increase their robustness against variability in loads and renewable generation. In addition, I am also collaborating with other graduate students to develop a geographically accurate synthetic grid for geo-referenced applications.
Projects
Take a look at what I am currently working on!
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Optimal Design of Remedial Action Schemes
Remedial Action Schemes (RAS) are automatic protection systems that detect abnormal system conditions and take predetermined and fast control actions. This work tries to address some of the deficiencies in existing methods to design Remedial Action schemes by proposing an optimization framework to choose optimal emergency actions in response to a set of contingencies.
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California Test System (CATS): A Geographically Accurate Synthetic Test System based on the California Grid

Many synthetic grids do not reflect the real locations and paths of electric infrastructure due to security concerns. However, accurate geography is important for geo-referenced applications, including studies related to climate, topography, natural resources, and energy justice. Sofia Taylor, Jonathan Snodgrass, and Noah Rhodes, and Aditya Rangarajan are developing the California Test System (CATS), which is a geographically accurate synthetic grid, by combining publicly available locational data for California’s electric infrastructure with parameters that are realistic but not real.
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Aditya Rangarajan
Aditya Rangarajan received his B.Tech degree in Electrical and Electronics Engineering from the National Institute of Technology, Karnataka. He is currently a PhD student in Electrical and Computer Engineering at the University of Wisconsin-Madison, advised by Professor Line Roald. He is interested in modelling and optimization of power system with particular focus on methods to enhance the robustness of power system protection against renewable energy variability.