Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm

Abstract In this paper, a novel design method for the determination of the optimal values of the Proportional – Integral – Derivative (PID) controller parameters of an Automatic Voltage Regulation (AVR) system is proposed. This method is based on the usage of the Equilibrium Optimizer (EO) algorithm. In order to demonstrate the applicability and efficiency of the proposed algorithm, the literature review of papers dealing with AVR PID design has been considered first. After that, time responses of the AVR system (including PID controller optimized by EO algorithm) with and without different kinds of disturbances have been compared with corresponding results determined for different literature approaches. Furthermore, the comparisons in terms of the accuracy, requested time for one iteration, the total execution time of the algorithm, and convergence characteristics are performed, too. The results show that the EO algorithm significantly outperforms other techniques for all considered criteria.

[1]  Bestoun S. Ahmed,et al.  A new multiobjective performance criterion used in PID tuning optimization algorithms , 2015, Journal of advanced research.

[2]  Emre Çelik,et al.  Performance enhancement of automatic voltage regulator by modified cost function and symbiotic organisms search algorithm , 2018, Engineering Science and Technology, an International Journal.

[3]  Juan Manuel Herrero Durá,et al.  New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm , 2018, Appl. Soft Comput..

[4]  Thomas A. Lipo,et al.  Analysis of Synchronous Machines , 2008 .

[5]  Yu Guo,et al.  CAS algorithm-based optimum design of PID controller in AVR system , 2009 .

[6]  Zwe-Lee Gaing,et al.  A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004 .

[7]  Hany M. Hasanien,et al.  Design Optimization of PID Controller in Automatic Voltage Regulator System Using Taguchi Combined Genetic Algorithm Method , 2013, IEEE Systems Journal.

[8]  Sidhartha Panda,et al.  Tuning and Assessment of Proportional–Integral–Derivative Controller for an Automatic Voltage Regulator System Employing Local Unimodal Sampling Algorithm , 2014 .

[9]  Serdar Ekıncı,et al.  Improved Kidney-Inspired Algorithm Approach for Tuning of PID Controller in AVR System , 2019, IEEE Access.

[10]  Zafer Bingul,et al.  A novel performance criterion approach to optimum design of PID controller using cuckoo search algorithm for AVR system , 2018, J. Frankl. Inst..

[11]  Diego Oliva,et al.  Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm , 2020, Mathematics.

[12]  Rafael Castro-Linares,et al.  Optimal fractional order adaptive controllers for AVR applications , 2018 .

[13]  Shamik Chatterjee,et al.  PID controller for automatic voltage regulator using teaching–learning based optimization technique , 2016 .

[14]  Dong Hwa Kim Hybrid GA-BF based intelligent PID controller tuning for AVR system , 2011, Appl. Soft Comput..

[15]  Norman S. Nise,et al.  Control Systems Engineering , 1991 .

[16]  Afzal Sikander,et al.  A novel technique to design cuckoo search based FOPID controller for AVR in power systems , 2017, Comput. Electr. Eng..

[17]  Yun Li,et al.  PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.

[18]  Nasir A. Al-geelani,et al.  Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation , 2015, Appl. Soft Comput..

[19]  Leandro dos Santos Coelho,et al.  Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach , 2009 .

[20]  Seyedali Mirjalili,et al.  Equilibrium optimizer: A novel optimization algorithm , 2020, Knowl. Based Syst..

[21]  Panos M. Pardalos,et al.  Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System , 2019, Math. Comput. Simul..

[22]  Almoataz Y. Abdelaziz,et al.  Comparative Performance Analysis of AVR Controllers Using Modern Optimization Techniques , 2018, Electric Power Components and Systems.

[23]  Haluk Gozde,et al.  Robust 2DOF state-feedback PI-controller based on meta-heuristic optimization for automatic voltage regulation system. , 2020, ISA transactions.

[24]  Xin-She Yang,et al.  Recent Advances in Swarm Intelligence and Evolutionary Computation , 2015, Recent Advances in Swarm Intelligence and Evolutionary Computation.

[25]  Sidhartha Panda,et al.  Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization , 2012, J. Frankl. Inst..

[26]  A. Chatterjee,et al.  Velocity relaxed and craziness-based swarm optimized intelligent PID and PSS controlled AVR system , 2009 .

[27]  Almoataz Y. Abdelaziz,et al.  Whale optimization algorithm to tune PID and PIDA controllers on AVR system , 2019 .

[28]  Haluk Gozde,et al.  Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system , 2011, J. Frankl. Inst..