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Winter/Spring Publications

  • Mar 27
  • 2 min read

The ADOreD doctoral candidates have busy writing and publishing papers in the beginning of 2026



In January Bernardo Castro Valerio published his paper: "Transmission expansion planning for hybrid AC/DC grids using a mixed-integer non-linear programming approach" presenting a Non-Linear Mixed-Integer Optimization approach for operationally aware transmission expansion planning in hybrid AC/DC grids.


And just a few weeks later Luis Angel Garcia Reyes published the paper: "Data-Driven State-Space Modeling for Small-Signal Stability Analysis of Black-Box Power Converters", introducing a data-driven methodology to build accurate state-space models of black-box voltage source converters (VSCs) directly from voltage and current measurements at the point of connection — enabling eigenvalue-based small-signal stability analysis without knowing the internal converter dynamics.


In February Mario Alejandro Useche Arteaga published his paper: "𝘖𝘱𝘵𝘪𝘮𝘪𝘻𝘪𝘯𝘨 𝘵𝘩𝘦 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘦𝘯𝘦𝘳𝘨𝘺 𝘪𝘴𝘭𝘢𝘯𝘥𝘴 𝘸𝘪𝘵𝘩 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘷𝘦 𝘯𝘰𝘯𝘭𝘪𝘯𝘦𝘢𝘳 𝘱𝘳𝘰𝘨𝘳𝘢𝘮𝘮𝘪𝘯𝘨 – 𝘢 𝘤𝘢𝘴𝘦 𝘴𝘵𝘶𝘥𝘺 𝘣𝘢𝘴𝘦𝘥 𝘰𝘯 𝘵𝘩𝘦 𝘗𝘳𝘪𝘯𝘤𝘦𝘴𝘴 𝘌𝘭𝘪𝘴𝘢𝘣𝘦𝘵𝘩 𝘌𝘯𝘦𝘳𝘨𝘺 𝘐𝘴𝘭𝘢𝘯𝘥" saying:

"𝘈𝘴 𝘰𝘧𝘧𝘴𝘩𝘰𝘳𝘦 𝘸𝘪𝘯𝘥 𝘴𝘤𝘢𝘭𝘦𝘴 𝘶𝘱, 𝘰𝘧𝘧𝘴𝘩𝘰𝘳𝘦 𝘦𝘯𝘦𝘳𝘨𝘺 𝘩𝘶𝘣𝘴 𝘢𝘳𝘦 𝘣𝘦𝘤𝘰𝘮𝘪𝘯𝘨 𝘤𝘦𝘯𝘵𝘳𝘢𝘭 𝘵𝘰 𝘧𝘶𝘵𝘶𝘳𝘦 𝘱𝘰𝘸𝘦𝘳 𝘴𝘺𝘴𝘵𝘦𝘮𝘴. 𝘉𝘶𝘵 𝘩𝘰𝘸 𝘥𝘰 𝘸𝘦 𝘰𝘱𝘵𝘪𝘮𝘢𝘭𝘭𝘺 𝘰𝘱𝘦𝘳𝘢𝘵𝘦 𝘵𝘩𝘦𝘮 𝘸𝘩𝘦𝘯 𝘣𝘰𝘵𝘩 𝘸𝘪𝘯𝘥 𝘱𝘰𝘸𝘦𝘳 𝘢𝘯𝘥 𝘦𝘭𝘦𝘤𝘵𝘳𝘪𝘤𝘪𝘵𝘺 𝘱𝘳𝘪𝘤𝘦𝘴 𝘢𝘳𝘦 𝘶𝘯𝘤𝘦𝘳𝘵𝘢𝘪𝘯? 𝘐𝘯 𝘵𝘩𝘪𝘴 𝘱𝘢𝘱𝘦𝘳, 𝘸𝘦 𝘢𝘥𝘥𝘳𝘦𝘴𝘴 𝘵𝘩𝘪𝘴 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦 𝘶𝘴𝘪𝘯𝘨 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘷𝘦 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘢𝘱𝘱𝘭𝘪𝘦𝘥 𝘵𝘰 𝘢 𝘳𝘦𝘢𝘭𝘪𝘴𝘵𝘪𝘤 𝘦𝘯𝘦𝘳𝘨𝘺 𝘪𝘴𝘭𝘢𝘯𝘥 𝘤𝘢𝘴𝘦 𝘴𝘵𝘶𝘥𝘺."


And in March, publications went crazy with 3 different DC's publishing papers about their work:


  • Kriti Agrawal published: "Multi-stage convex polynomial regression for small-signal stability in power systems"


  • Nicolae Darii published: "Enhancing simulation fidelity of offshore wind turbines through DLL-based black-box models"


  • Germano Rugendo Mugambi published: "Impedance-based sensitivity analysis of wind turbine generator".


Nicolae Darii's was selected amongst the 𝗯𝗲𝘀𝘁 𝗪𝗶𝗻𝗱 𝗮𝗻𝗱 𝗦𝗼𝗹𝗮𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 𝗼𝗳 𝟮𝟬𝟮𝟱 for the IET Special Issue.

"𝘛𝘩𝘳𝘪𝘭𝘭𝘦𝘥 𝘵𝘰 𝘴𝘦𝘦 𝘵𝘩𝘪𝘴 𝘱𝘢𝘱𝘦𝘳 𝘴𝘦𝘭𝘦𝘤𝘵𝘦𝘥 𝘢𝘮𝘰𝘯𝘨 𝘵𝘩𝘦 𝘣𝘦𝘴𝘵 𝘢𝘵 𝘵𝘩𝘦 24𝘵𝘩 𝘞𝘪𝘯𝘥 & 𝘚𝘰𝘭𝘢𝘳 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯 𝘞𝘰𝘳𝘬𝘴𝘩𝘰𝘱 (𝘐𝘌𝘛 𝘉𝘦𝘳𝘭𝘪𝘯 2026), 𝘸𝘪𝘵𝘩 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘧𝘰𝘳 𝘫𝘰𝘶𝘳𝘯𝘢𝘭 𝘦𝘹𝘵𝘦𝘯𝘴𝘪𝘰𝘯. 𝘋𝘓𝘓-𝘣𝘢𝘴𝘦𝘥 𝘣𝘭𝘢𝘤𝘬-𝘣𝘰𝘹 𝘮𝘰𝘥𝘦𝘭𝘴 𝘰𝘧𝘧𝘦𝘳 𝘴𝘵𝘳𝘰𝘯𝘨 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭: 𝘴𝘦𝘤𝘶𝘳𝘦 𝘴𝘩𝘢𝘳𝘪𝘯𝘨 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘤𝘰𝘮𝘱𝘳𝘰𝘮𝘪𝘴𝘪𝘯𝘨 𝘖𝘌𝘔 𝘐𝘗, 𝘸𝘩𝘪𝘭𝘦 𝘱𝘳𝘦𝘴𝘦𝘳𝘷𝘪𝘯𝘨 𝘌𝘔𝘛 𝘴𝘪𝘮𝘶𝘭𝘢𝘵𝘪𝘰𝘯 𝘧𝘪𝘥𝘦𝘭𝘪𝘵𝘺 𝘧𝘰𝘳 𝘰𝘧𝘧𝘴𝘩𝘰𝘳𝘦 𝘸𝘪𝘯𝘥 𝘵𝘶𝘳𝘣𝘪𝘯𝘦𝘴. 𝘌𝘮𝘣𝘦𝘥𝘥𝘪𝘯𝘨 𝘪𝘯𝘵𝘦𝘳𝘱𝘰𝘭𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘵𝘩𝘦 𝘋𝘓𝘓 𝘢𝘭𝘴𝘰 𝘦𝘯𝘢𝘣𝘭𝘦𝘴 𝘮𝘰𝘳𝘦 𝘢𝘤𝘤𝘶𝘳𝘢𝘵𝘦 𝘮𝘰𝘥𝘦𝘭 𝘴𝘸𝘪𝘵𝘤𝘩𝘪𝘯𝘨 𝘧𝘰𝘳 𝘩𝘪𝘨𝘩-𝘧𝘳𝘦𝘲𝘶𝘦𝘯𝘤𝘺 𝘪𝘯𝘵𝘳𝘢-𝘵𝘪𝘮𝘦𝘴𝘵𝘦𝘱 𝘦𝘷𝘦𝘯𝘵𝘴. 𝘞𝘰𝘳𝘬 𝘳𝘦𝘮𝘢𝘪𝘯𝘴 𝘵𝘰𝘸𝘢𝘳𝘥 𝘢 𝘶𝘯𝘪𝘷𝘦𝘳𝘴𝘢𝘭 ‘𝘰𝘯𝘦 𝘋𝘓𝘓 𝘵𝘰 𝘳𝘶𝘭𝘦 𝘵𝘩𝘦𝘮 𝘢𝘭𝘭,’ 𝘢𝘴 𝘦𝘢𝘤𝘩 𝘮𝘶𝘴𝘵 𝘣𝘦 𝘵𝘢𝘪𝘭𝘰𝘳𝘦𝘥 𝘵𝘰 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴, 𝘣𝘶𝘵 𝘪𝘵 𝘱𝘢𝘷𝘦𝘴 𝘵𝘩𝘦 𝘸𝘢𝘺 𝘧𝘰𝘳 𝘮𝘶𝘭𝘵𝘪-𝘷𝘦𝘯𝘥𝘰𝘳 𝘱𝘰𝘸𝘦𝘳 𝘴𝘺𝘴𝘵𝘦𝘮 𝘴𝘵𝘶𝘥𝘪𝘦𝘴.” - Nicolae Darii.



 
 
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