Tube Model Predictive Control Based Cyber-Attack-Resilient Optimal Voltage Control Strategy in Wind Farms

Zhenming Li, Minghao Wang, Yunfeng Yan, Donglian Qi, Zhao Xu, Jianliang Zhang, Zezhou Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Optimal voltage controls have been widely applied in wind farms to maintain voltage stability of power grids. In order to achieve optimal voltage operation, authentic grid information is widely needed in the sensing and actuating processes. However, this may induce system vulnerable to malicious cyber-attacks. To this end, a tube model predictive control-based cyber-attack-resilient optimal voltage control method is proposed to achieve voltage stability against malicious cyber-attacks. The proposed method consists of two cascaded model predictive controllers (MPC), which outperform other peer control methods in effective alleviation of adverse effects from cyber-attacks on actuators and sensors of the system. Finally, efficiency of the proposed method is evaluated in sensor and actuator cyber-attack cases based on a modified IEEE 14 buses system and IEEE 118 buses system.

Original languageEnglish
Pages (from-to)530-538
Number of pages9
JournalCSEE Journal of Power and Energy Systems
Volume10
Issue number2
DOIs
Publication statusPublished - 1 Mar 2024

Keywords

  • Attack-resilient control
  • optimal voltage control
  • tube-based model predictive control
  • wind farm-connected power system

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • General Energy
  • Electrical and Electronic Engineering

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