Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …
models of different components of the smart grid architecture model (SGAM). The SGAM …
Power system dynamic state estimation: Motivations, definitions, methodologies, and future work
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 …
State and Parameter Estimation. This Task Force was established by the IEEE Working …
Real-time grid monitoring and protection: A comprehensive survey on the advantages of phasor measurement units
The emerging smart-grid and microgrid concept implementation into the conventional power
system brings complexity due to the incorporation of various renewable energy sources and …
system brings complexity due to the incorporation of various renewable energy sources and …
A robust iterated extended Kalman filter for power system dynamic state estimation
This paper develops a robust iterated extended Kalman filter (EKF) based on the
generalized maximum likelihood approach (termed GM-IEKF) for estimating power system …
generalized maximum likelihood approach (termed GM-IEKF) for estimating power system …
Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation
Accurate estimation of the dynamic states of a synchronous machine (eg, rotor's angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …
speed) is essential in monitoring and controlling transient stability of a power system. It is …
Roles of dynamic state estimation in power system modeling, monitoring and operation
Power system dynamic state estimation (DSE) remains an active research area. This is
driven by the absence of accurate models, the increasing availability of fast-sampled, time …
driven by the absence of accurate models, the increasing availability of fast-sampled, time …
Robust unscented Kalman filter for power system dynamic state estimation with unknown noise statistics
Due to the communication channel noises, GPS synchronization process, changing
environment temperature and different operating conditions of the system, the statistics of …
environment temperature and different operating conditions of the system, the statistics of …
Local and wide-area PMU-based decentralized dynamic state estimation in multi-machine power systems
E Ghahremani, I Kamwa - IEEE Transactions on Power …, 2015 - ieeexplore.ieee.org
Accurate measurement of the rotor angle and speed of synchronous generators is
instrumental in developing powerful local or wide-area control and monitoring systems to …
instrumental in developing powerful local or wide-area control and monitoring systems to …
Comparisons on Kalman-filter-based dynamic state estimation algorithms of power systems
H Liu, F Hu, J Su, X Wei, R Qin - Ieee Access, 2020 - ieeexplore.ieee.org
The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state
estimation of power systems have been extensively used to provide accurate data for power …
estimation of power systems have been extensively used to provide accurate data for power …
Dynamic state estimation for multi-machine power system by unscented Kalman filter with enhanced numerical stability
In this paper, in order to enhance the numerical stability of the unscented Kalman filter (UKF)
used for power system dynamic state estimation, a new UKF with guaranteed positive …
used for power system dynamic state estimation, a new UKF with guaranteed positive …