Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm

This paper presents a hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. The method is based on the manta ray foraging optimization algorithm which is merged with the simulated a...

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Vydané v:Ain Shams Engineering Journal Ročník 12; číslo 1; s. 641 - 657
Hlavní autori: Micev, Mihailo, Ćalasan, Martin, Ali, Ziad M., Hasanien, Hany M., Abdel Aleem, Shady H.E.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.03.2021
Elsevier
Predmet:
Automatic voltage regulation system
Disturbance rejection
Manta ray foraging optimizer
PID controllers
Simulated annealing algorithm
Simulated annealing algorithm
Disturbance rejection
PID controllers
Manta ray foraging optimizer
Automatic voltage regulation system
ISSN:2090-4479
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Abstract This paper presents a hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. The method is based on the manta ray foraging optimization algorithm which is merged with the simulated annealing algorithm. Additionally, novel objective functions for the optimization of the controller’s parameters are proposed. The performance of the obtained ideal PID, real PID, fractional-order PID, and PID with second-order derivative controllers is verified by carrying out a comparison with the controllers tuned by different algorithms presented in the literature. Results of the simulations validate that each type of controller tuned with the proposed SA–MRFO algorithm outperforms the controllers tuned by other algorithms. Further, a comparative analysis is carried out to determine the most suitable controller for application in AVR systems. The main advantage of the proposed algorithm is the significant increase in the convergence speed.
AbstractList This paper presents a hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. The method is based on the manta ray foraging optimization algorithm which is merged with the simulated annealing algorithm. Additionally, novel objective functions for the optimization of the controller’s parameters are proposed. The performance of the obtained ideal PID, real PID, fractional-order PID, and PID with second-order derivative controllers is verified by carrying out a comparison with the controllers tuned by different algorithms presented in the literature. Results of the simulations validate that each type of controller tuned with the proposed SA–MRFO algorithm outperforms the controllers tuned by other algorithms. Further, a comparative analysis is carried out to determine the most suitable controller for application in AVR systems. The main advantage of the proposed algorithm is the significant increase in the convergence speed.
Author Hasanien, Hany M.
Micev, Mihailo
Ćalasan, Martin
Ali, Ziad M.
Abdel Aleem, Shady H.E.
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  surname: Micev
  fullname: Micev, Mihailo
  organization: University of Montenegro, Faculty of Electrical Engineering, Podgorica, Montenegro
– sequence: 2
  givenname: Martin
  surname: Ćalasan
  fullname: Ćalasan, Martin
  email: martinc@ucg.ac.me
  organization: University of Montenegro, Faculty of Electrical Engineering, Podgorica, Montenegro
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  givenname: Ziad M.
  orcidid: 0000-0002-6959-9686
  surname: Ali
  fullname: Ali, Ziad M.
  organization: Electrical Engineering Department, College of Engineering at Wadi Addawaser, 11991, Prince Sattam Bin Abdulaziz University, Saudi Arabia
– sequence: 4
  givenname: Hany M.
  orcidid: 0000-0001-6595-6423
  surname: Hasanien
  fullname: Hasanien, Hany M.
  email: hanyhasanien@ieee.org
  organization: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt
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  givenname: Shady H.E.
  surname: Abdel Aleem
  fullname: Abdel Aleem, Shady H.E.
  email: engyshady@ieee.org
  organization: 15th of May Higher Institute of Engineering, Mathematical and Physical Sciences, Cairo, Egypt
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Issue 1
Keywords Simulated annealing algorithm
Disturbance rejection
PID controllers
Manta ray foraging optimizer
Automatic voltage regulation system
Language English
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  ident: 10.1016/j.asej.2020.07.010_b0155
  article-title: A novel optimal PID plus second order derivative controller for AVR system
  publication-title: Eng Sci Technol Int J
– volume: 98
  start-page: 26
  year: 2020
  ident: 10.1016/j.asej.2020.07.010_b0005
  article-title: Robust 2DOF state-feedback PI-controller based on meta-heuristic optimization for automatic voltage regulation system
  publication-title: ISA Trans
  doi: 10.1016/j.isatra.2019.08.056
– ident: 10.1016/j.asej.2020.07.010_b0195
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Snippet This paper presents a hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an...
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SubjectTerms Automatic voltage regulation system
Disturbance rejection
Manta ray foraging optimizer
PID controllers
Simulated annealing algorithm
Title Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm
URI https://dx.doi.org/10.1016/j.asej.2020.07.010
https://doaj.org/article/ee32bbeba34c40ef9393092935e8f17b
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