
Predictive event‐triggered H ∞ load frequency control for hybrid power systems under denial‐of‐service attacks
Author(s) -
Hossain Md Musabbir,
Peng Chen
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.0905
Subject(s) - denial of service attack , computer science , electric power system , control theory (sociology) , model predictive control , hybrid system , controller (irrigation) , power (physics) , control (management) , physics , the internet , quantum mechanics , artificial intelligence , machine learning , world wide web , agronomy , biology
In this study, a novel H ∞ predictive event‐triggered load frequency control has been developed for a hybrid power system with renewable energy sources (RESs) to deal with denial‐of‐service (DoS) attacks, where the DoS duration (the time attack lasts) are boundless. A predictive event‐triggered transmission scheme is built for the multi‐area hybrid power systems under DoS attacks to reduce the load of network bandwidth while maintaining adequate levels of performance. Therefore, an observer‐based predictive controller is developed in the presence of both external disturbances and DoS attacks by formulating the LFC problem as a disturbance attenuation issue. In the proposed method, a hybrid power system with RESs is used to achieve novel and better security strategies. Based on the new model, sufficient conditions are obtained using the Lyapunov stability theory to ensure a stable multi‐area hybrid power system with a prescribed H ∞ performance. Moreover, an algorithm is provided to obtain the control strategy of DoS attacks. Finally, the simulation of a hybrid power system with RESs is presented to demonstrate the effectiveness of the proposed method in dealing with the DoS attacks.