A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems

A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems

The integration of photovoltaic (PV) panels has allowed power distribution systems (PDSs) to regulate their voltage through the injection/absorption of reactive power. The deployment of information and communication technologies (ICTs), which is required for this scheme, has made the PDS prone to va...

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Bibliographic Details
Main Authors: Masoud Ahmadzadeh, Ahmadreza Abazari, Mohsen Ghafouri, Amir Ameli, S. M. Muyeen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Distribution systems
false data injection
cyberattacks
convolutional neural network
photovoltaic
voltage regulation
Online Access:https://ieeexplore.ieee.org/document/10378686/

Internet

https://ieeexplore.ieee.org/document/10378686/

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