9 citations · 12 across the 5 of their papers we have counts for
5 papers
Symbolic Equation Modeling of Composite Loads: A Kolmogorov-Arnold Network based Learning Approach
Sonam Dorji, Yongkang Sun, Yuchen Zhang +3
With increasing penetration of distributed energy resources installed behind the meter, there is a growing need for adequate modelling of composite loads to enable accurate power s…
Synchronising DER inverters to weak grid using Kalman filter and LQR current controller
Phuoc Sang Nguyen, Ghavameddin Nourbakhsh, Gerard Ledwich
Grid-following (GFL) inverters are commonly used for integrating renewable energy sources into power grids. However, the dynamic performance of GFL models can be significantly impa…
Grid impedance estimation based Kalman Filter
Phuoc Sang Nguyen, Ghavameddin Nourbakhsh, Gerard Ledwich
Modern power systems face new operational hurdles due to the increasing adoption of inverter-coupled distributed energy resources, which impact system stability and control. Centra…
Layered Based Augmented Complex Kalman Filter for Fast Forecasting-Aided State Estimation of Distribution Networks
Mehdi Shafiei, Gerard Ledwich, Ghavameddin Nourbakhsh +2
In the presence of renewable resources, distribution networks have become extremely complex to monitor, operate and control. Furthermore, for the real time applications, active dis…
Single Iteration Conditional Based DSE Considering Spatial and Temporal Correlation
Mehdi Shafiei, Ghavameddin Nourbakhsh, Ali Arefi +2
The increasing complexity of distribution network calls for advancement in distribution system state estimation (DSSE) to monitor the operating conditions more accurately. Sufficie…