Open AccessLoad frequency control under false data inject attacks based on multi-agent system method in multi-area power systems
Author(s) -
Tengfei Weng,
Yan Xie,
Guorong Chen,
Qi Han,
Yuan Tian,
Liping Feng,
Yangjun Pei
Publication year - 2022
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/15501329221090469
Subject(s) - computer science , bernoulli's principle , electric power system , bandwidth (computing) , controller (irrigation) , automatic frequency control , stability (learning theory) , power (physics) , control (management) , control theory (sociology) , real time computing , telecommunications , artificial intelligence , agronomy , physics , quantum mechanics , machine learning , engineering , biology , aerospace engineering
This article considers the load frequency control of multi-area power system-based multi-agent system method under false data injection attacks. The research can provide better solutions for multi-area power system load frequency control under false data injection attacks. First, an event-triggered mechanism is introduced to decide which data should be transmitted in the controller to save the limited network bandwidth. Besides, a model of cyberattacks is built using the Bernoulli random variables. Then, conditions are given for maintaining the system asymptotic stability under attack. Finally, simulations are performed to demonstrate the validity of the theory proposed in this article.