A Meta-Heuristic based Solution for Mitigating Sub-Synchronous Resonance in Grid-connected Wind Farms

Authors

  • Phuong Nam Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
  • Chau Le Thi Minh PGRE Lab, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam https://orcid.org/0000-0002-9161-2146
  • Hoang Minh Vu Nguyen Ho Chi Minh City University of Architecture, Vietnam https://orcid.org/0000-0002-2200-6791
  • Huy Anh Quyen Ho Chi Minh City University of Technology and Education, Vietnam https://orcid.org/0000-0001-8946-1302
  • Ngoc Au Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
  • Ngoc Hung Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
Volume: 15 | Issue: 3 | Pages: 24055-24060 | June 2025 | https://doi.org/10.48084/etasr.11262

Received: 2 April 2025 | Revised: 22 April 2025 and 25 April 2025 | Accepted: 27 April 2025 | Online: 4 June 2025


Corresponding author: Phuong Nam Nguyen

Abstract

This study proposes a novel optimization strategy for tuning the parameters of a Rotor Side Converter (RSC), employing a hybrid approach that integrates three advanced optimization algorithms: Particle Swarm Optimization (PSO), Cuckoo Search Algorithm (CSA), and Grey Wolf Optimizer (GWO). The proposed method is integrated with existing damping techniques on both the grid side, using a Thyristor Controlled Series Capacitor (TCSC) and the wind farm side, utilizing a Supplementary Damping Controller (SDC) to enhance the Sub-Synchronous Oscillation (SSO) damping effectiveness. Based on the IEEE First Benchmark and the IEEE 14-bus system, time-domain simulations and small-signal stability analysis demonstrate that the proposed solution significantly improves the damping performance under critical operating conditions, particularly high series compensation levels and low wind speeds. The MATLAB/Simulink tool was also employed in this study.

Keywords:

Sub-Synchronous Resonance (SSR), thyristor-controlled series capacitor (TCSC), meta-heuristic algorithms, DFIG-based wind farm, supplementary damping controller (SDC)

Downloads

Download data is not yet available.

References

J. Shair, H. Li, J. Hu, and X. Xie, "Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics," Renewable and Sustainable Energy Reviews, vol. 145, Jul. 2021, Art. no. 111111.

D. N. Walker, C. E. J. Bowler, R. L. Jackson, and D. A. Hodges, "Results of subsynchronous resonance test at Mohave," IEEE Transactions on Power Apparatus and Systems, vol. 94, no. 5, pp. 1878–1889, Sep. 1975.

J. Adams, C. Carter, and S.-H. Huang, "ERCOT experience with Sub-synchronous Control Interaction and proposed remediation," in PES T&D 2012, Orlando, FL, USA, May 2012, pp. 1–5.

H. Li, J. Shair, J. Zhang, and X. Xie, "Investigation of Subsynchronous Oscillation in a DFIG-Based Wind Power Plant Connected to MTDC Grid," IEEE Transactions on Power Systems, vol. 38, no. 4, pp. 3222–3231, Jul. 2023.

J. Shair, X. Xie, and G. Yan, "Mitigating subsynchronous control interaction in wind power systems: Existing techniques and open challenges," Renewable and Sustainable Energy Reviews, vol. 108, pp. 330–346, Jul. 2019.

H. A. Mohammadpour, Md. M. Islam, E. Santi, and Y.-J. Shin, "SSR Damping in Fixed-Speed Wind Farms Using Series FACTS Controllers," IEEE Transactions on Power Delivery, vol. 31, no. 1, pp. 76–86, Feb. 2016.

E. Touti et al., "Sub-Synchronous Oscillation Mitigation for Series-Compensated DFIG-Based Wind Farm Using Resonant Controller," IEEE Access, vol. 12, pp. 66185–66195, 2024.

X. Wu, S. Xu, X. Shi, M. Shahidehpour, M. Wang, and Z. Li, "Mitigating Subsynchronous Oscillation Using Model-Free Adaptive Control of DFIGs," IEEE Transactions on Sustainable Energy, vol. 14, no. 1, pp. 242–253, Jan. 2023.

A. Chen, D. Xie, D. Zhang, C. Gu, and K. Wang, "PI Parameter Tuning of Converters for Sub-Synchronous Interactions Existing in Grid-Connected DFIG Wind Turbines," IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6345–6355, Jul. 2019.

J. Yao, X. Wang, J. Li, R. Liu, and H. Zhang, "Sub-Synchronous Resonance Damping Control for Series-Compensated DFIG-Based Wind Farm With Improved Particle Swarm Optimization Algorithm," IEEE Transactions on Energy Conversion, vol. 34, no. 2, pp. 849–859, Jun. 2019.

M. Abdeen et al., "A Recent Analytical Approach for Analysis of Sub-Synchronous Resonance in Doubly-Fed Induction Generator-Based Wind Farm," IEEE Access, vol. 9, pp. 68888–68897, 2021.

S. U. Islam and S. Kim, "Design and Implementation of Optimal Control Scheme for DFIG Based Wind Plant to Mitigate Sub-Synchronous Resonance Issues," IEEE Access, vol. 11, pp. 141162–141171, 2023.

J. Chakravorty and J. Saraswat, "Deciding Optimal Location of DPFC in Transmission Line Using Artificial Algae Algorithm," Engineering, Technology & Applied Science Research, vol. 9, no. 2, pp. 3978–3980, Apr. 2019.

O. P. Bharti, R. K. Saket, and S. K. Nagar, "Controller Design of DFIG Based Wind Turbine by Using Evolutionary Soft Computational Techniques," Engineering, Technology & Applied Science Research, vol. 7, no. 3, pp. 1732–1736, Jun. 2017.

M. Shehab, A. T. Khader, and M. A. Al-Betar, "A survey on applications and variants of the cuckoo search algorithm," Applied Soft Computing, vol. 61, pp. 1041–1059, Dec. 2017.

S. Mirjalili, S. M. Mirjalili, and A. Lewis, "Grey Wolf Optimizer," Advances in Engineering Software, vol. 69, pp. 46–61, Mar. 2014.

M. Abdeen, H. Li, M. A.-E.-H. Mohamed, S. Kamel, B. Khan, and Z. Chai, "Sub-synchronous interaction damping controller for a series-compensated DFIG-based wind farm," IET Renewable Power Generation, vol. 16, no. 5, pp. 933–944, Apr. 2022.

M. Abdeen et al., "Investigation on TCSC Parameters and Control Structure for SSR Damping in DFIG-Based Wind Farm," in 2021 12th International Renewable Energy Congress (IREC), Hammamet, Tunisia, Oct. 2021, pp. 1–5.

Downloads

How to Cite

[1]
Nguyen, P.N., Minh, C.L.T., Nguyen, H.M.V., Quyen, H.A., Nguyen, N.A. and Nguyen, N.H. 2025. A Meta-Heuristic based Solution for Mitigating Sub-Synchronous Resonance in Grid-connected Wind Farms. Engineering, Technology & Applied Science Research. 15, 3 (Jun. 2025), 24055–24060. DOI:https://doi.org/10.48084/etasr.11262.

Metrics

Abstract Views: 38
PDF Downloads: 26

Metrics Information

License

Copyright (c) 2025 Phuong Nam Nguyen, Chau Le Thi Minh, Hoang Minh Vu Nguyen, Huy Anh Quyen, Ngoc Au Nguyen, Ngoc Hung Nguyen

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.