A novel optimal PIλ1Iλ2Dμ1Dμ2 controller using mayfly optimization algorithm for automatic voltage regulator system


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Çavdar B., Şahin E., Akyazı Ö., Nuroğlu F. M.

Neural Computing and Applications, cilt.35, sa.27, ss.19899-19918, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 27
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s00521-023-08834-0
  • Dergi Adı: Neural Computing and Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, Biotechnology Research Abstracts, Compendex, Computer & Applied Sciences, Index Islamicus, INSPEC, zbMATH
  • Sayfa Sayıları: ss.19899-19918
  • Anahtar Kelimeler: Automatic voltage regulator, Fractional controller, Mayfly optimization algorithm, Time and frequency domain analysis
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

This paper presents a novel PIλ1Iλ2Dμ1Dμ2 controller for the automatic voltage regulator (AVR) system. The AVR system controls the terminal voltage of synchronous generators. In this way, it contributes to voltage stability in power systems. The parameters of the proposed controller are optimized with the recently developed Mayfly algorithm for various objective functions. These objective functions are Zwe-Lee Gaing, the integral of time multiplied absolute error, the integral of squared error, the integral of time multiplied squared error and the integral of absolute error (IAE). The best result in terms of transient response parameters (settling time, rise time, and maximum overshoot) at terminal voltage is compared to controllers developed in recent years. Both time domain analysis and frequency domain analysis is used in this comparison. From the comparison results, it has been observed that the proposed controller provided better performance as compared to existing controllers in the literature. In addition to time and frequency domain analysis, robustness, nonlinear effect, and external disturbance rejection performances of the proposed controller are analyzed for the AVR system. As a result of all these analyses, it is seen that the proposed controller displays outstanding performance.