RETRACTED: Artificial ecosystem-based optimization for optimal tuning of robust PID controllers in AVR systems with limited value of excitation voltage

Lipo TA. Analysis of synchronous machines. 2nd ed. USA: CRC Press, 2012.

Boldea I. Synchronous generators. 2nd ed. USA: CRC Press, 2016.

Society IPE. IEEE Std 421.5 – IEEE recommended practice for excitation system models for power system stability studies. New York, USA: IEEE, 2016.

Vournas CD Machias AV Souflis JL. Determination of excitation parameter limits for generator dynamic stability. Arch Elektrotech 1989; 72: 357–362.

Ayasun S Gelen A. Stability analysis of a generator excitation control system with time delays. Electr Eng 2010; 91: 347–355.

Gaing Z-L. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Trans Energy Convers 2004; 19: 384–391.

Kim DH Cho JH. Retraction of “a biologically inspired intelligent PID controller tuning for AVR systems. Int J Control Autom Syst 2011; 9: 814–814.

Kim DH. Hybrid GA–BF based intelligent PID controller tuning for AVR system. Appl Soft Comput 2011; 11: 11–22.

Mukherjee V Ghoshal SP. Intelligent particle swarm optimized fuzzy PID controller for AVR system. Electr Power Syst Res 2007; 77: 1689–1698.

Gozde H Taplamacioglu MC. Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system. J Franklin Inst 2011; 348: 1927–1946.

Tang Y Zhao L Han Z , et al. Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm. Int J Mach Learn Cyber 2016; 7: 229–240.

Kumar A Shankar G. Priority based optimization of PID controller for automatic voltage regulator system using gravitational search algorithm. In: 2015 international conference on recent developments in controlling and automation power engineering, 2015, pp.292–297. USA: IEEE.

Zamani M Karimi-Ghartemani M Sadati N , et al. Design of a fractional order PID controller for an AVR using particle swarm optimization. Control Eng Pract 2009; 17: 1380–1387.

Tang Y Cui M Hua C , et al. Optimum design of fractional order PI λD μ controller for AVR system using chaotic ant swarm. Expert Syst Appl 2012; 39: 6887–6896.

Wong C Li S Wang H. Hybrid evolutionary algorithm for PID controller design of AVR system. J Chinese Inst Eng 2009; 32: 251–264.

Femmy Nirmal J Jeraldin Auxillia D. Adaptive PSO based tuning of PID controller for an Automatic Voltage Regulator system. In: 2013 international conference on circuits, power and computing technologies, 2013, pp.661–666. USA: IEEE.

Puralachetty MM Pamula VK Akula V. Comparison of different optimization algorithms with two stage initialization for PID controller tuning in automatic voltage regulator system. In: 2016 IEEE students’ technology symposium, 2016, pp.152–156. USA: IEEE.

Panda S Sahu BK Mohanty PK. Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization. J Franklin Inst 2012; 349: 2609–2625.

Priyambada S Mohanty PK. Performance evaluation of DEPSO algorithm on automatic voltage regulator using conventional PID & Fuzzy-PID controller. In: 2015 international conference on energy, power and environment: towards sustainable growth, ICEPE 12-13 June 2015, 2016.

Chatterjee S Mukherjee V. PID controller for automatic voltage regulator using teaching-learning based optimization technique. Int J Electr Power Energy Syst 2016; 77: 418–429.

Coelho L dos S. Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach. Chaos Solitons Fractals 2009; 39: 1504–1514.

Pan I Das S. Frequency domain design of fractional order PID controller for AVR system using chaotic multi-objective optimization. Int J Electr Power Energy Syst 2013; 51: 106–118.

Mohanty PK Sahu BK Panda S. Tuning and assessment of proportional–integral–derivative controller for an automatic voltage regulator system employing local unimodal sampling algorithm. Electr Power Components Syst 2014; 42: 959–969.

Verma SK Yadav S Nagar SK. Controlling of an automatic voltage regulator using optimum integer and fractional order PID controller. In: 2015 IEEE workshop on computational intelligence: theories, applications and future directions, 2015, pp.1–5. USA: IEEE.

Hasanien HM. Design optimization of PID controller in automatic voltage regulator system using Taguchi combined genetic algorithm method. IEEE Syst J 2013; 7: 825–831.

Ekinci S Hekimoglu B. Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system. IEEE Access 2019; 7: 39935–39947.

Mosaad AM Attia MA Abdelaziz AY. Whale optimization algorithm to tune PID and PIDA controllers on AVR system. Ain Shams Eng J 2019; 10: 755–767.

Blondin MJ Sanchis J Sicard P , et al. New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder–Mead algorithm. Appl Soft Comput 2018; 62: 216–229.

Çelik E Durgut R. Performance enhancement of automatic voltage regulator by modified cost function and symbiotic organisms search algorithm. Eng Sci Technol Int J 2018; 21: 1104–1111.

Mosaad AM Attia MA Abdelaziz AY. Comparative performance analysis of AVR controllers using modern optimization techniques. Electr Power Components Syst 2018; 46: 2117–2130.

Sahib MA Ahmed BS. A new multiobjective performance criterion used in PID tuning optimization algorithms. J Adv Res 2016; 7: 125–134.

Bhullar AK Kaur R Sondhi S. Enhanced crow search algorithm for AVR optimization. Soft Comput 2020; 32: 9383–9425.

Ramezanian H Balochian S Zare A. Design of optimal fractional-order PID controllers using particle swarm optimization algorithm for automatic voltage regulator (AVR) system. J Control Autom Electr Syst 2013; 24: 601–611.

Shayeghi H Younesi A Hashemi Y. Optimal design of a robust discrete parallel FP+FI+FD controller for the Automatic Voltage Regulator system. Int J Electr Power Energy Syst 2015; 67: 66–75.

Seekuka J Piamsa-Nga P Rattanawaorahirunkul R. Automatic voltage regulator using PID controller based on particle swarm optimization. In: 2017 9th international conference on information technology and electrical engineering, 2017, pp.1–4. USA: IEEE.

Zhu H Li L Zhao Y , et al. CAS algorithm-based optimum design of PID controller in AVR system. Chaos Solitons Fractals 2009; 42: 792–800.

Shayeghi H Dadashpour J. Anarchic society optimization based PID control of an automatic voltage regulator (AVR) system. Electr Electron Eng 2012; 2: 199–207.

Zhao W Wang L Zhang Z. Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm. Neural Comput Appl. Epub ahead of print 1 January 2019. DOI: 10.1007/s00521-019-04452-x.

Zobaa AF Aleem S Abdelaziz AY. Classical and recent aspects of power system optimization. 1st ed. USA: Academic Press, 2018.

Gandoman FH Sharaf AM Abdel Aleem SH , et al. Distributed FACTS stabilization scheme for efficient utilization of distributed wind energy systems. Int Trans Electr Energ Syst 2017; 27: e2391.

Aleem SHA , et al. Harmonic overloading minimization of frequency-dependent components in harmonics polluted distribution systems using Harris hawks optimization algorithm. IEEE Access 2019; 7: 100824–100837.

Omar AI Abdel Aleem SH El-Zahab EE , et al. An improved approach for robust control of dynamic voltage restorer and power quality enhancement using grasshopper optimization algorithm. ISA Trans 2019; 95: 110–129.