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 …
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 …
Testing of an adaptive algorithm for estimating the parameters of a synchronous generator based on the approximation of electrical state time series
M Senyuk, S Beryozkina, A Berdin, A Moiseichenkov… - Mathematics, 2022 - mdpi.com
The results of testing the algorithms of the adaptive model of a synchronous generator using
theoretical and real physical data are presented in this study. The adaptive model of a …
theoretical and real physical data are presented in this study. The adaptive model of a …
[HTML][HTML] A cyber-layer based on weighted average consensus in blockchain environment for accurate sharing of power systems' dynamic states
Sharing the dynamic states among power system generators is crucial for wide-area
monitoring, decentralized control, and protection of the prospective smart grid. However, this …
monitoring, decentralized control, and protection of the prospective smart grid. However, this …
[HTML][HTML] Real-time estimation of time-varying inertia for non-synchronous devices using streaming dynamic mode decomposition
With the increasing integration of renewable and non-synchronous resources, the declining
level of inertia poses a threat to the stability of power systems. This paper delves into the …
level of inertia poses a threat to the stability of power systems. This paper delves into the …
[HTML][HTML] Review on measurement-based frequency dynamics monitoring and analyzing in renewable energy dominated power systems
The massive integration of clean energy and renewable energy source (RES) is one of the
most important trends in the low carbon energy transition toward carbon neutrality. Such an …
most important trends in the low carbon energy transition toward carbon neutrality. Such an …
Sliding innovation filter to estimate power converters of electric vehicles
The sliding innovation filter (SIF) is a recently developed estimation technique that has
gained widespread use. It is a predictor-corrector filter that utilizes a hyperplane and applies …
gained widespread use. It is a predictor-corrector filter that utilizes a hyperplane and applies …
Sliding innovation filter for micorgrid application
M AlShabi, K Obaideen, A El Nady… - … Fusion, and Target …, 2023 - spiedigitallibrary.org
Currently, microgrids are frequently used and various control algorithms have been applied
to improve their performance in both grid-connected and islanded modes. However …
to improve their performance in both grid-connected and islanded modes. However …
The formulation of the sequential sliding innovation filter and its application to complex road maneuvering
M AlShabi, K Obaideen… - Sensors and Systems for …, 2023 - spiedigitallibrary.org
This study presents the development of a new filter, the sequential sliding innovation filter
(SSIF), designed for estimating quantities of interest from noisy measurements. The SIF is …
(SSIF), designed for estimating quantities of interest from noisy measurements. The SIF is …