Power system inertia estimation: Review of methods and the impacts of converter-interfaced generations

B Tan, J Zhao, M Netto, V Krishnan, V Terzija… - International Journal of …, 2022 - Elsevier
Understanding and quantifying the inertia of power systems with the integration of converter-
interfaced generation (CIG) plays an essential role in the safe transition to a future low …

A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond

G Cheng, Y Lin, A Abur… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …

Dynamic state estimation for power system control and protection

Y Liu, AK Singh, J Zhao… - … on Power Systems, 2021 - ieeexplore.ieee.org
Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and
provides the evolution of the system state in real-time. This paper focuses on the control and …

Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles

I Ahmed, M Rehan, A Basit, M Tufail, KS Hong - IEEE Access, 2023 - ieeexplore.ieee.org
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …

[HTML][HTML] Detection and mitigation of gps spoofing attacks on phasor measurement units using deep learning

F Almutairy, L Scekic, M Matar, R Elmoudi… - International Journal of …, 2023 - Elsevier
The widespread use of Phasor Measurement Units (PMUs) is considered one of the most
important contributions to the quality of power system monitoring. PMUs are digital devices …

State Estimation for Integrated Energy Systems: Motivations, Advances, and Future Work

J Zhao, A Srivastava, Y Guo… - … on Power Systems, 2024 - ieeexplore.ieee.org
This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on
State Estimation (SE) for Integrated Energy Systems (IES). It presents the formal definition …

Scalable designs for reinforcement learning-based wide-area dam** control

S Mukherjee, A Chakrabortty, H Bai… - … on Smart Grid, 2021 - ieeexplore.ieee.org
This article discusses how techniques from reinforcement learning (RL) can be exploited to
transition to a model-free and scalable wide-area oscillation dam** control of power grids …

Square-root cubature Kalman filter based power system dynamic state estimation

V Basetti, AK Chandel, CK Shiva - Sustainable Energy, Grids and Networks, 2022 - Elsevier
The state estimator's real-time state information plays a vital role in monitoring and control of
the power system. As a result, one of the primary requirements of the estimator is to provide …

A Gaussian-multivariate Laplacian mixture distribution based robust cubature Kalman filter

W Huang, H Fu, Y Li, W Zhang - Measurement, 2023 - Elsevier
In this paper, the state estimation problems of nonlinear systems with outlier-corrupted
measurements are investigated. First, to model the non-Gaussian noises caused by the …

An interdisciplinary research perspective on the future of multi-vector energy networks

PC Taylor, M Abeysekera, Y Bian, D Ćetenović… - International Journal of …, 2022 - Elsevier
Understanding the future of multi-vector energy networks in the context of the transition to
net zero and the energy trilemma (energy security, environmental impact and social cost) …