no code implementations • 13 May 2024 • Muhammad Nadeem, Ahmad F. Taha
This paper deals with the joint reduction of dynamic states (internal states of generator, solar, and loads, etc) and algebraic variables (states of the network e. g., voltage and phase angles) of a nonlinear differential-algebraic equation (NDAE) model of power networks.
no code implementations • 12 Dec 2023 • Wenjie Mei, Muhammad Nadeem, MirSaleh Bahavarnia, Ahmad F. Taha
Finally, the paper demonstrates the efficacy and precision of the proposed NN through the identification and simulation of solution trajectories for the considered DAE-modeled power system.
no code implementations • 29 Nov 2023 • 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 uncertain power networks but comes at the expense of scalability and sensitivity.
no code implementations • 1 Oct 2023 • 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 renewables and complex load demands.
no code implementations • 7 Apr 2023 • Muhammad Nadeem, Ahmad F. Taha
This paper presents a new approach to solve or approximate the AC optimal power flow (ACOPF).
no code implementations • 20 Sep 2022 • Muhammad Nadeem, Ahmad F. Taha
Conventional state estimation routines of electrical grids are mainly reliant on dynamic models of fossil fuel-based resources.
no code implementations • 15 Jun 2022 • Muhammad Nadeem, Sebastian A. Nugroho, Ahmad F. Taha
This paper investigates the joint problems of dynamic state estimation of algebraic variables (voltage and phase angle) and generator states (rotor angle and frequency) of nonlinear differential algebraic equation (NDAE) power network models, under uncertainty.
