Observer based decentralized load frequency control with false data injection attack for specified network quality and delay

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dc.contributor.authorPanda, Deepak Kumar
dc.contributor.authorHalder, Kaushik
dc.contributor.authorDas, Saptarshi
dc.contributor.authorTownley, Stuart
dc.date.accessioned2024-09-03T10:41:11Z
dc.date.available2024-09-03T10:41:11Z
dc.date.freetoread2024-09-03
dc.date.issued2024-08-01
dc.date.pubOnline2024-08-01
dc.description.abstractLoad frequency control (LFC) aims to stabilize grid frequency fluctuations by countering load disturbances with generation-side controllers. In smart grids, demand response (DR) and electric vehicles (EV) offer alternatives to traditional frequency control, reducing reliance on costly generation-side controllers. These decentralized controls, interconnected through a shared communication medium, form a cyber-physical system, vulnerable to challenges like packet drops and false data injection (FDI) attacks. Additionally, consumer participation in DR introduces significant time delays. This paper derives stability conditions for LFC using a state feedback controller, estimating unobservable states with an observer while accounting for bounded disturbances and noise. This cyber-physical system, involving an observer, controller, and network, is modelled as an observer-based networked control system (NCS) using an asynchronous dynamical system (ADS) approach. The resulting switched system model is used to establish linear matrix inequality (LMI) criteria that ensure stability and determine observer and controller gains under specified packet drop rates, disturbances, and noise. The methodology is tested on various configurations, demonstrating that decentralized EV with LFC and DR improves system response, minimizes frequency fluctuations, and optimizes networked control bandwidth under given conditions.
dc.description.journalNameChaos, Solitons and Fractals
dc.identifier.citationPanda DK, Halder K, Das S, Townley S. (2024) Observer based decentralized load frequency control with false data injection attack for specified network quality and delay. Chaos, Solitons and Fractals, Volume 186, September 2024, Article number 115323
dc.identifier.eissn1873-2887
dc.identifier.elementsID549555
dc.identifier.issn0960-0779
dc.identifier.paperNo115323
dc.identifier.urihttps://doi.org/10.1016/j.chaos.2024.115323
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22839
dc.identifier.volumeNo186
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier BV
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S0960077924008750?via%3Dihub
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGrid frequency
dc.subjectDelay and packet drop
dc.subjectLoad frequency control
dc.subjectDemand response
dc.subjectElectric vehicles
dc.subjectStochastic renewable energy
dc.subject40 Engineering
dc.subject4901 Applied Mathematics
dc.subject4007 Control Engineering, Mechatronics and Robotics
dc.subject49 Mathematical Sciences
dc.subject4010 Engineering Practice and Education
dc.subject7 Affordable and Clean Energy
dc.subjectMathematical Physics
dc.subject40 Engineering
dc.subject46 Information and computing sciences
dc.subject49 Mathematical sciences
dc.titleObserver based decentralized load frequency control with false data injection attack for specified network quality and delay
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2024-07-21

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