Regular Article

Enhanced battery energy storage damping controller for alleviation sub-synchronous resonance in wind power plants

¹ Department of Electrical Engineering, Delhi Technological University, Delhi, 110042, India
² Electrical Engineering Department, Government Engineering College, Siwan, Bihar, India
³ Electrical and Electronics Engineering Department, Krishna Institute of Engineering and Technology (KIET), Ghaziabad, India

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it. ; This email address is being protected from spambots. You need JavaScript enabled to view it.

Received: 20 April 2025
Accepted: 18 June 2026

Abstract

The study introduces an enhanced damping controller using a battery energy storage system to mitigate sub-synchronous resonance in transmission lines equipped with static series compensation associated with a doubly fed induction generator-based wind power facility. This project aims to create a resilient damping controller that ensures stability under diverse operating situations and to refine controller settings using an innovative optimization technique for enhanced damping efficacy. In contrast to traditional damping controllers, the suggested controller incorporates an additional damping signal integrated into the d–q axis of the control channels. The auxiliary damping signal utilizes angular speed deviation, obtained by a large-area measuring method, as its input signal. A hybrid method integrating eigenvalue analysis with an advanced particle swarm optimization technique is used to optimize damping performance across diverse operating situations by determining the best gain coefficients. The variability of wind speed and fluctuations in series compensation levels are assessed to determine the resilience of thef proposed controller in real-world and extreme circumstances. Time-domain simulations were conducted in MATLAB/Simulink to assess their efficacy. The findings confirm that the proposed upgraded controller successfully stabilizes all previously unstable system modes at wind speeds of 7 m/s, 9 m/s, and 11 m/s, as well as at compensation levels of 40%, 55%, and 60%. The suggested controller demonstrates enhanced damping performance and elevated damping coefficients relative to conventional damping controllers, signifying increased stability and resilience across various operating conditions.