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20222024
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6 papers · 1 filter

eess.SY2024

Structure-Preserving Model Order Reduction for Nonlinear DAE Models of Power Networks

Muhammad Nadeem, Ahmad F. Taha

This paper deals with the joint reduction of the number of dynamic and algebraic states of a nonlinear differential-algebraic equation (NDAE) model of a power network. The dynamic…

eess.SY2023

Learning for System Identification of NDAE-modeled Power Systems

Wenjie Mei, Muhammad Nadeem, MirSaleh Bahavarnia +1

System identification through learning approaches is emerging as a promising strategy for understanding and simulating dynamical systems, which nevertheless faces considerable diff…

eess.SY2023

On Scaling Robust Feedback Control and State Estimation Problems in Power Networks

MirSaleh Bahavarnia, Muhammad Nadeem, Ahmad F. Taha

Many mainstream robust control/estimation algorithms for power networks are designed using the Lyapunov theory as it provides performance guarantees for linear/nonlinear models of…

eess.SY2023

Robust Feedback Control of Power Systems with Solar Plants and Composite Loads

Muhammad Nadeem, MirSaleh Bahavarnia, Ahmad F. Taha

Due to the rapid developments in synchronized measurement technologies, there exist enormous opportunities to attenuate disturbances in future power grids with high penetration of…

eess.SY2023

Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation

Muhammad Nadeem, Ahmad F. Taha

This paper presents a new approach to approximate the AC optimal power flow (ACOPF). By eliminating the need to solve the ACOPF every few minutes, the paper showcases how a realtim…

eess.SY2022

Robust Dynamic State Estimation of Multi-Machine Power Networks with Solar Farms and Dynamics Loads

Muhammad Nadeem, Ahmad F. Taha

Conventional state estimation routines of electrical grids are mainly reliant on dynamic models of fossil fuel-based resources. These models commonly contain differential equations…