Distribution system state estimation-A step towards smart grid

F Ahmad, A Rasool, E Ozsoy, R Sekar… - … and Sustainable Energy …, 2018 - Elsevier
State estimation (SE) is well-established at the transmission system level of the electricity
grid, where it has been in use for the last few decades and is a most vital component of …

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 …

Power system dynamic state estimation: Motivations, definitions, methodologies, and future work

J Zhao, A Gómez-Expósito, M Netto… - … on Power Systems, 2019 - ieeexplore.ieee.org
This paper summarizes the technical activities of the Task Force on Power System Dynamic
State and Parameter Estimation. This Task Force was established by the IEEE Working …

Forecasting-aided state estimation—Part I: Panorama

MB Do Coutto Filho… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The art of estimating future values of a random process, based upon previously observed or
estimated values, is usually known as a priori estimation, prediction, or forecasting. Power …

A review of power system dynamic state estimation techniques

NR Shivakumar, A Jain - 2008 Joint International Conference …, 2008 - ieeexplore.ieee.org
State estimation is a key energy management system (EMS) function, responsible for
estimating the state of the power system. Power system is a quasi-static system and hence …

Power system tracking and dynamic state estimation

A Jain, NR Shivakumar - 2009 IEEE/PES Power Systems …, 2009 - ieeexplore.ieee.org
State estimation is a key energy management system (EMS) function, responsible for
estimating the state of the power system. Since state estimation is computationally …

Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: Ieee task force on power system dynamic …

J Zhao, AK Singh, AS Mir, A Taha, A Abur… - 2021 - eprints.soton.ac.uk
This report of TF on dynamic state and parameter estimation aims to 1) clearly review its
motivations and definitions, demonstrate its values for enhanced power system modeling …

One-step multilayer unbalanced three-phase dse for lv distribution networks

M Shafiei, G Ledwich, G Nourbakhsh… - IEEE Systems …, 2021 - ieeexplore.ieee.org
In this article, an augmented complex Kalman filter (ACKF) is proposed for distribution
networks as a noniterative forecasting-aided state estimator. Although most of the …

[图书][B] Phasors for Measurement and Control

G Ledwich, A Vahidnia - 2021 - Springer
The book examines what inferences about the operation of a power system can be made
from Phasor Measurements and what control actions can be taken. The work on Phasor …

Power system state forecasting using artificial neural networks

D M. Vinod Kumar, SC Srivastava - Electric Machines &Power …, 1999 - Taylor & Francis
This paper presents a new method for power system state forecasting using artificial neural
networks (ANN). The state forecasting problem has been solved in two steps: the filtering …