Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines

Prashanth Rajanala; Malligunta Kiran Kumar; Ambati Giriprasad; Joon-Ho Choi; K V Govardhan Rao; V Sri Sravan; Ch Rami Reddy

doi:10.1038/s41598-025-08676-x

Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines

Sci Rep. 2025 Jul 2;15(1):22669. doi: 10.1038/s41598-025-08676-x.

Authors

Prashanth Rajanala¹, Malligunta Kiran Kumar¹, Ambati Giriprasad², Joon-Ho Choi³, K V Govardhan Rao⁴, V Sri Sravan⁵, Ch Rami Reddy^{6

7}

Affiliations

¹ Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.
² Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, 500090, India.
³ Electrical Engineering, Chonnam National University, Gwangju, South Korea. joono@chonnam.ac.kr.
⁴ Electrical and Electronics Engineering, St. Martin's Engineering College, Secunderabad, Telangana, India.
⁵ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.
⁶ Applied Science Research Center, Applied Science Private University, Amman, 11937, Jordan.
⁷ Department of Electrical and Electronics Engineering, Joginpally B R Engineering College, Hyderabad, 500075, India.

Abstract

This research develops a novel control approach for improving voltage stability and maximizing power extraction in Brushless Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion Systems (WECS). The developed approach incorporates a Chaotic Salp Swarm Optimization (CSSO) tuned Adaptive Neuro Fuzzy Inference System (ANFIS) for Maximum Power Point Tracking (MPPT) allowing rotor speed's dynamic adjustments and torque to attain better wind power extraction. The control framework has coordinated control among the Rotor Side Converter (RSC) and Grid Side Converter (GSC), where the GSC provides the delivery of power to the grid and offers grid support features while the RSC manages torque of rotor side and DC link voltage. To support grid stability under changing conditions, reactive power balancing and voltage regulation are incorporated into the system. By utilizing a d-q reference frame based current control strategy, the harmonic distortion in the grid current is alleviated. Furthermore, the efficacy of developed controller is validated in MATLAB/Simulink tool demonstrating tracking efficiency of [Formula: see text] with improved tracking speed (0.08s), reduced total harmonic distortion (THD < 2.85%), enhanced voltage stability revealing significant improvements in voltage stability, harmonic suppression and wind energy harvesting efficiency under both steady-state and dynamic operating conditions.

Keywords: Chaotic salp swarm optimisation (CSSO-ANFIS) - based MPPT; Doubly fed induction generator (DFIG); Grid side control (GSC); Rotor side control (RSC); Wind energy conversion system (WECS).