Mitigating Cyber Anomalies in Virtual Power Plants Using Artificial-Neural-Network-Based Secondary Control with a Federated Learning-Trust Adaptation

Mitigating Cyber Anomalies in Virtual Power Plants Using Artificial-Neural-Network-Based Secondary Control with a Federated Learning-Trust Adaptation

Virtual power plants (VPPs) are susceptible to cyber anomalies due to their extensive communication layer. FL-trust, an improved federated learning (FL) approach, has been recently introduced as a mitigation system for cyber-attacks. However, current FL-trust enhancements, relying solely on proporti...

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Bibliographic Details
Main Authors: Seyed Iman Taheri, Mohammadreza Davoodi, Mohd Hasan Ali
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
virtual power plant
federated learning
optimization algorithm
power system
distributed generation
artificial neural network
Online Access:https://www.mdpi.com/1996-1073/17/3/619

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https://www.mdpi.com/1996-1073/17/3/619

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