Distributed moving horizon estimation via operator splitting for automated robust power system state estimation

J Kim, JH Kang, J Bae, W Lee, KKK Kim - IEEE Access, 2021 - ieeexplore.ieee.org
… because the problem can be modified when defining the problem… [48] CV Rao, “Moving
horizon strategies for the constrained … Scattolini, “Moving-horizon partition-based state estimation

A distributed maximum-likelihood-based state estimation approach for power systems

T Chen, Y Cao, X Chen, L Sun, J Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
… estimates, while the existing distributed state estimation methods can only get local …
Distributed state estimation using a modified partitioned moving horizon strategy for power systems

[HTML][HTML] Set-membership-based distributed moving horizon estimation of large-scale systems

P Segovia, V Puig, E Duviella - ISA transactions, 2022 - Elsevier
distributed state estimation strategy for large-scale systemsPartitioning of the overall problem
and coordination of the … of a two-step distributed state estimation algorithm considering an …

A Distributed Robust Power System State Estimation Approach Using -Distribution Noise Model

T Chen, Y Cao, L Sun, X Qing, J Zhang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
… A distributed state estimation for power systems with linear models … A modified partitioned
moving horizon estimation approach … , “Integrated mutation strategy with modified binary PSO …

Distributed Kalman filter for large-scale power systems with state inequality constraints

Z Cheng, H Ren, B Zhang, R Lu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… ) and remote terminal unit measurements model, a modified distributed Kalman filter (KF) is
de… true states of power systems [6]–[8]. As a consequence, power system state estimation has …

[HTML][HTML] State estimation using a network of distributed observers with unknown inputs

G Yang, A Barboni, H Rezaee, T Parisini - Automatica, 2022 - Elsevier
… of the system via a suitably designed consensus strategy. … system comprising a group of
sensors distributed over N nodes… locally available signals, we partition the system’s inputs into a …

Outlier accommodation in movinghorizon state estimation: A risk‐averse performance‐specified approach

E Aghapour, JA Farrell - … Journal of Adaptive Control and Signal …, 2020 - Wiley Online Library
… some overall pattern of distribution and contains corrupted … -one-out moving-horizon (MH)
estimation strategy is proposed. In … This paper presents a modified RAPS solution, applicable …

Model-based control for hybrid and uncertain smart energy systems

TM Pippia - 2020 - research.tudelft.nl
distribute the control effort equally. Moreover, after the system has been partitioned, we apply
a decentralized state-… can be executed online so that partitions can be changed if there is a …

Distributed state estimation in large-scale processes decomposed into observable subsystems using community detection

LS Masooleh, JE Arbogast, WD Seider, U Oktem… - Computers & Chemical …, 2022 - Elsevier
using distributed and centralized architectures on a process consisting of two reactors and a
separator, and the Tennessee Eastman process. A parallelization strategy … better partitioning

Distributed power management with adaptive scheduling horizons for more electric aircraft

Y Zhang, J Chen, Y Yu - … Journal of Electrical Power & Energy Systems, 2021 - Elsevier
… In our work, we propose a power management strategy with … buses and loads, we can
partition it into subsystems so that … We now make the following modification to the network graph …