Research Article

Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms

Volume: 10 Number: 3 October 25, 2026

Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms

Abstract

This study compares, for the first time in the literature, the performance of Peak Shaving (PS) and Adaptive Envelope Protection System (AEPS) algorithms, which are both designed to protect wind turbines from excessive thrust forces. The AEPS algorithm is realized within the National Laboratory of the Rockies (NLR) Reference Open-Source Controller (ROSCO). The International Energy Agency (IEA) 15 MW floating offshore reference wind turbine is simulated using the Wind Turbine Control test bench (WTCBench) tool together with the OpenFAST simulation tool for cases: no protection (AEPS and PS off), PS only and AEPS only. Simulation results are presented under a normal turbulent wind (Design Load Case-DLC 1.1) around the rated wind speed from both controller and turbine perspectives. Turbine side performance metrics, including thrust force, tower base fore-aft moment and power output are analyzed in terms of percent reductions with respect to the no protection case. Test results show that PS and AEPS algorithms achieve comparable reductions in the maximum thrust force, with AEPS offering a slightly greater reduction, 0.46%. AEPS achieves a 1.29% further reduction in the maximum tower base fore-aft moment compared to PS algorithm. AEPS performs slightly better in reducing peak loads, whereas PS provides a 3.61% larger reduction in mean thrust and a 4.70% greater reduction in mean tower base fore-aft moment. Compared to PS algorithm, AEPS provides a 2.41% higher mean power output and further decreases the fluctuations in these metrics by up to almost 1%.

Keywords

Supporting Institution

The Scientific and Technological Research Council of Türkiye (TÜBİTAK)

Project Number

2219 – International Postdoctoral Research Fellowship Program

Ethical Statement

This research was financially supported by The Scientific and Technological Research Council of Türkiye (TÜBİTAK) through the 2219 – International Postdoctoral Research Fellowship Program for Turkish Citizens and carried out at the National Laboratory of the Rockies (NLR), previously known as the National Renewable Energy Laboratory (NREL).

Thanks

The author specially thanks Senior Researcher Dr. Daniel Zalkind for his invaluable help and support in the successful completion of this work.

References

  1. Abbas, N., (2022). Nikhar Abbas - ROSCO: A reference controller for fixed and floating wind turbines. Retrieved May 11, 2026 from https://www.youtube.com/watch?v=sfQoae9qPrM
  2. Abbas, N. J., Zalkind, D. S., Pao, L., & Wright, A. (2022). A reference open-source controller for fixed and floating offshore wind turbines. Wind Energy Science, 7(1), 53–73.
  3. Allen, C., Viselli, A., Dagher, H., Goupee, A., H., Gaertner, E., Abbas, N., Hall, M., & Barter, G. (2020). Definition of the UMaine VolturnUS-S Reference Platform Developed for the IEA Wind 15-Megawatt Offshore Reference Wind Turbine Technical Report. www.nrel.gov/publications.
  4. Fischer, B., & Shan, M. (2013). A Survey on Control Methods for the Mitigation of Tower Loads (Number September). Fraunhofer-Institute for Wind Energy and Energy Systems Technology, IWES.
  5. Gaertner, E., Rinker, J., Sethuraman, L., Anderson, B., Zahle, F., & Barter, G. (2020). IEA Wind TCP Task 37: Definition of the IEA 15 MW Offshore Reference Wind Turbine. In Technical Report NREL/TP-5000-75698, March 2020. https://www.nrel.gov/docs/fy20osti/75698.pdf
  6. IEC. (2005). IEC International Standard 61400-1. International Electrochemical Commission, 1–9.
  7. Li, J., Fan, S., & Geng, H. (2025). Rotor Thrust Control for Large-Scale Wind Turbine in Near-Rated Wind Speed Region. IEEE Transactions on Sustainable Energy, 16(4), 2828–2838.
  8. NREL. (2020). OpenFAST Documentation Release v2.3.0.

Details

Primary Language

English

Subjects

Aerospace Engineering (Other)

Journal Section

Research Article

Early Pub Date

October 18, 2026

Publication Date

October 25, 2026

Submission Date

May 20, 2026

Acceptance Date

August 2, 2026

Published in Issue

Year 2026 Volume: 10 Number: 3

APA
Şahin, M. (2026). Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms. Journal of Aviation, 10(3), 455-460. https://doi.org/10.30518/jav.1955681
AMA
1.Şahin M. Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms. JAV. 2026;10(3):455-460. doi:10.30518/jav.1955681
Chicago
Şahin, Mustafa. 2026. “Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms”. Journal of Aviation 10 (3): 455-60. https://doi.org/10.30518/jav.1955681.
EndNote
Şahin M (October 1, 2026) Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms. Journal of Aviation 10 3 455–460.
IEEE
[1]M. Şahin, “Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms”, JAV, vol. 10, no. 3, pp. 455–460, Oct. 2026, doi: 10.30518/jav.1955681.
ISNAD
Şahin, Mustafa. “Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms”. Journal of Aviation 10/3 (October 1, 2026): 455-460. https://doi.org/10.30518/jav.1955681.
JAMA
1.Şahin M. Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms. JAV. 2026;10:455–460.
MLA
Şahin, Mustafa. “Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms”. Journal of Aviation, vol. 10, no. 3, Oct. 2026, pp. 455-60, doi:10.30518/jav.1955681.
Vancouver
1.Mustafa Şahin. Performance Comparison of Peak Shaving and Adaptive Envelope Protection System Algorithms. JAV. 2026 Oct. 1;10(3):455-60. doi:10.30518/jav.1955681

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