Survey of machine learning methods for detecting false data injection attacks in power systems
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …
physical and economic damages has increased rapidly. Among them, false data injection …
Advances on sensing technologies for smart cities and power grids: A review
This paper aims to highlight the advancement on the emergent technologies,
implementations, and applications in smart power grid and city. Advanced sensing systems …
implementations, and applications in smart power grid and city. Advanced sensing systems …
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 …
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 …
Adaptive protection coordination scheme using numerical directional overcurrent relays
MN Alam - IEEE Transactions on Industrial Informatics, 2018 - ieeexplore.ieee.org
Dynamically changing distribution system operating conditions compromises the
coordination of the existing protection schemes. This paper proposes an online adaptive …
coordination of the existing protection schemes. This paper proposes an online adaptive …
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 …
Dynamic state estimation of a synchronous machine using PMU data: A comparative study
Accurate information about dynamic states is important for efficient control and operation of a
power system. This paper compares the performance of four Bayesian-based filtering …
power system. This paper compares the performance of four Bayesian-based filtering …
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 …