Fault-tolerant optimal pitch control of wind turbines using dynamic weighted parallel firefly algorithm

Yashar Mousavi *, Geraint Bevan, Ibrahim Beklan Kucukdemiral

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
20 Downloads (Pure)


With steadily increasing interest in utilizing wind turbine (WT) sys- tems as primary electrical energy generators, fault-tolerance has been considered decisive to enhance their efficiency and reliability. In this work, an optimal fault-tolerant pitch control (FTPC) strategy is addressed to ad- just the pitch angle of WT blades in the presence of sensor, actuator, and system faults. The proposed scheme incorporates a fractional-calculus based extended memory (EM) of pitch angles along with a fractional-order proportional-integral-derivative (FOPID) controller to enhance the performance of the WT. A dynamic weighted parallel firefly algorithm (DWPFA) is also proposed to tune the controller parameters. The efficiency of the proposed algorithm is evaluated on the test functions adopted from 2017 IEEE congress on evolutionary computation (CEC2017). The merits of the proposed fault-tolerant approach are tested on a 4.8-MW WT benchmark model and compared to conventional PI and optimal FOPID approaches. Corresponding comparative simulation results validate the effectiveness and fault-tolerant capability of the proposed control paradigm, where it is observed that the proposed control scheme tends to be more consistent in the power generated at a given wind speed.
Original languageEnglish
Pages (from-to)301-317
Number of pages17
JournalISA Transactions
Early online date21 Oct 2021
Publication statusPublished - Sep 2022


  • fault-tolerant control
  • wind turbine
  • pitch control
  • optimization
  • firefly algorithm
  • fractional calculus

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment


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