State Estimation Fusion for Linear Microgrids over an Unreliable Network

State Estimation Fusion for Linear Microgrids over an Unreliable Network

Microgrids should be continuously monitored in order to maintain suitable voltages over time. Microgrids are mainly monitored remotely, and their measurement data transmitted through lossy communication networks are vulnerable to cyberattacks and packet loss. The current study leverages the idea of...

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Bibliographic Details
Main Authors: Herrero, J.G (Author), López, J.M.M (Author), Moshiri, B. (Author), Sadjadi, E.N (Author), Soleymannejad, M. (Author), Zadeh, D.S (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Communications networks
cyberattack
Cyber-attacks
data fusion
Decision trees
estimation fusion
Estimation fusion
internet of things
Internet of things
Kalman filter
Kalman filters
machine learning
Machine learning
Measurement data
Microgrid
packet loss
Packet loss
Packets loss
Regression analysis
Regression method
Smart Micro Grids
smart microgrid
State estimates
state estimation
State estimation
Unreliable network
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