Linear recursive state estimation of hybrid and unbalanced ac/dc micro-grids using synchronized measurements
W Lambrichts, M Paolone - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
In this paper, we present an exact (ie, non-approximated) and linear measurement model for
hybrid AC/DC micro-grids for recursive state estimation (SE). More specifically, an exact …
hybrid AC/DC micro-grids for recursive state estimation (SE). More specifically, an exact …
[PDF][PDF] Online dynamic assessment of system stability in power systems using the unscented kalman filter
R Moreno-Chuquen… - International Review of …, 2019 - red.uao.edu.co
Dynamic state estimation on of power systems stability based on Phasor Measurement Units
(PMUs) data is a requirement in order to assess power system security. This paper …
(PMUs) data is a requirement in order to assess power system security. This paper …
Online dynamic assessment of system stability using unscented kalman filter
Estimation systems based on PMU (Phasor Measurement Unit) data are a power system
requirement based on the increasing expansion over the past decades. Kalman filter has …
requirement based on the increasing expansion over the past decades. Kalman filter has …
Addressing single and multiple bad data in the modern PMU-based power system state estimation
Detection and analysis of bad data is an important sector of the static state estimation. This
paper addresses single and multiple bad data in the modern phasor measurement unit …
paper addresses single and multiple bad data in the modern phasor measurement unit …
Online synchrophasor-based dynamic state estimation using real-time digital simulator
Dynamic state estimation is a very important control center application used in the dynamic
monitoring of state variables. In transient stability analyses, it is very critical to have accurate …
monitoring of state variables. In transient stability analyses, it is very critical to have accurate …
Comparison between conventional anc post-processing pmu-based state estimation to deal with bad data
Detection and analysis of bad data is one of the most important sector of static state
estimation. This paper focuses on the comparison between a novel method for multi bad …
estimation. This paper focuses on the comparison between a novel method for multi bad …