Power system inertia estimation: Review of methods and the impacts of converter-interfaced generations
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 …
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
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 …
Conventional SE is fed by measurements collected from the supervisory control and data …
Dynamic state estimation for power system control and protection
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 …
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
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 …
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
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 …
important contributions to the quality of power system monitoring. PMUs are digital devices …
State Estimation for Integrated Energy Systems: Motivations, Advances, and Future Work
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 …
State Estimation (SE) for Integrated Energy Systems (IES). It presents the formal definition …
Scalable designs for reinforcement learning-based wide-area dam** control
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 …
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
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 …
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 …
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) …
net zero and the energy trilemma (energy security, environmental impact and social cost) …