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Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks

This paper investigates the problem of networked load frequency control (LFC) of power systems (PSs) against deception attacks. To lighten the load of the communication network, a new adaptive event-triggered scheme (ETS) is developed on the premise of maintaining a certain control performance of LF...

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Detalles Bibliográficos
Autores principales: Zhang, Xiao, Yang, Fan, Sun, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588060/
https://www.ncbi.nlm.nih.gov/pubmed/34770354
http://dx.doi.org/10.3390/s21217047
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author Zhang, Xiao
Yang, Fan
Sun, Xiang
author_facet Zhang, Xiao
Yang, Fan
Sun, Xiang
author_sort Zhang, Xiao
collection PubMed
description This paper investigates the problem of networked load frequency control (LFC) of power systems (PSs) against deception attacks. To lighten the load of the communication network, a new adaptive event-triggered scheme (ETS) is developed on the premise of maintaining a certain control performance of LFC systems. Compared with the existing ETSs, the proposed adaptive ETS can adjust the number of triggering packets, along with the state changes in the presence of deception attacks, which can reduce the average data-releasing rate. In addition, sufficient conditions can be derived, providing a trade-off between the limited network communication resources and the desired control performance of PSs. Finally, an application case is presented for the PSs to demonstrate the advantages of the proposed approach.
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spelling pubmed-85880602021-11-13 Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks Zhang, Xiao Yang, Fan Sun, Xiang Sensors (Basel) Article This paper investigates the problem of networked load frequency control (LFC) of power systems (PSs) against deception attacks. To lighten the load of the communication network, a new adaptive event-triggered scheme (ETS) is developed on the premise of maintaining a certain control performance of LFC systems. Compared with the existing ETSs, the proposed adaptive ETS can adjust the number of triggering packets, along with the state changes in the presence of deception attacks, which can reduce the average data-releasing rate. In addition, sufficient conditions can be derived, providing a trade-off between the limited network communication resources and the desired control performance of PSs. Finally, an application case is presented for the PSs to demonstrate the advantages of the proposed approach. MDPI 2021-10-24 /pmc/articles/PMC8588060/ /pubmed/34770354 http://dx.doi.org/10.3390/s21217047 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Xiao
Yang, Fan
Sun, Xiang
Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks
title Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks
title_full Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks
title_fullStr Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks
title_full_unstemmed Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks
title_short Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks
title_sort resilient adaptive event-triggered load frequency control of network-based power systems against deception attacks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588060/
https://www.ncbi.nlm.nih.gov/pubmed/34770354
http://dx.doi.org/10.3390/s21217047
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AT yangfan resilientadaptiveeventtriggeredloadfrequencycontrolofnetworkbasedpowersystemsagainstdeceptionattacks
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