collaborators

16 papers

eess.SY2026

Exponential Weighting Model Predictive Control with Observer for Modular Multilevel Converters

Sunny Singh, Saurabh Mishra, Dušan M Stipanović +1

In this article, we propose a model predictive control (MPC) scheme with an exponential cost function, along with an observer for the Modular Multilevel Converter (MMC), to enhance…

eess.SY2026

Robust Tuning of Model Predictive Control for MMC-Based High-Voltage Power Systems

Victor Daniel Reyes Dreke, Rahul Rane, Aleksandra Lekić

High-voltage direct current (HDVC) transmission systems based on modular multilevel converters (MMCs) have become a key topology in modern power systems. The dynamics of MMCs exhib…

eess.SY2026

Robust Current Regulation of MMC-based MTDC Power Systems based on Lyapunov Inequality

Victor Daniel Reyes Dreke, Rahul Rane, Aleksandra Lekić

Multi-terminal DC (MTDC) transmission systems based on modular multilevel converters (MMCs) are a key component of the envisioned future energy sector, where sustainability and eff…

eess.SY2026

Leveraging Optimal Information-Power Flow for Transmission Switching in AC/MTDC Grids

Haixiao Li, Aleksandra Lekić

The emerging AC/multi-terminal DC grids are regarded as a promising solution for accommodating the increasing integration of renewable energy sources. This work proposes an optimiz…

eess.SY2026

Advanced simulation framework for AC/MTDC power systems

Aleksandra Lekić, Azadeh Kermansaravi, Haixiao Li +3

Alternating current (AC)/multi-terminal direct current (MTDC) hybrid power systems (HPSs) play a crucial role in enabling long-distance power transmission and flexible interconnect…

eess.SY2026

Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems

Zeynab Kaseb, Rahul Rane, Aleksandra Lekic +4

Quantum computing has emerged as a promising computational paradigm to address unresolved challenges in the modeling and control of modern power systems. However, most existing stu…