DoS-resilient simultaneous voltage and frequency control in wind-integrated power system

The increasing penetration of wind energy and the growing vulnerability of communication channels pose major challenges to maintaining reliable power system operation. This paper presents a hybrid Grey Wolf Optimizer–Cuckoo Search (GWO–CS) tuned Model Predictive Controller (MPC) for resilient simultaneous frequency and voltage regulation in a two-area interconnected system dominated by wind, supported by thermal and diesel units. The MPC cost-function weights are optimally tuned using a normalized performance index to achieve coordinated control of the Automatic Voltage Regulator (AVR) and Load Frequency Control (LFC) loops. The proposed GWO–CS–MPC demonstrates superior performance over PID, FOPID, and other metaheuristic controllers, achieving faster settling, minimal overshoot, and strong disturbance rejection. Under nonlinearities, parameter uncertainties, and Denial-of-Service (DoS) attacks causing communication delays, the controller maintains stability and dynamic performance. Results confirm that the proposed method ensures robust, cyber-resilient operation of wind-integrated smart grids.

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Publication Details

Journal
Wind Engineering
Published
2026-04-24
DOI
https://doi.org/10.1177/0309524x261446521
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
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article

DoS-resilient simultaneous voltage and frequency control in wind-integrated power system

Ark Dev, Vineet Kumar, Ch Srinivas
Wind Engineering
Frequency Control in Power Systems
article

DoS-resilient simultaneous voltage and frequency control in wind-integrated power system

Ark Dev, Vineet Kumar, Ch Srinivas
article en

Abstract

The increasing penetration of wind energy and the growing vulnerability of communication channels pose major challenges to maintaining reliable power system operation. This paper presents a hybrid Grey Wolf Optimizer–Cuckoo Search (GWO–CS) tuned Model Predictive Controller (MPC) for resilient simultaneous frequency and voltage regulation in a two-area interconnected system dominated by wind, supported by thermal and diesel units. The MPC cost-function weights are optimally tuned using a normalized performance index to achieve coordinated control of the Automatic Voltage Regulator (AVR) and Load Frequency Control (LFC) loops. The proposed GWO–CS–MPC demonstrates superior performance over PID, FOPID, and other metaheuristic controllers, achieving faster settling, minimal overshoot, and strong disturbance rejection. Under nonlinearities, parameter uncertainties, and Denial-of-Service (DoS) attacks causing communication delays, the controller maintains stability and dynamic performance. Results confirm that the proposed method ensures robust, cyber-resilient operation of wind-integrated smart grids.

Wind Engineering
Netaji Subhas University of Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 21%
Frequency Control in Power Systems
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