Research Article
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Year 2022, Volume: 10 Issue: 3, 174 - 183, 30.09.2022
https://doi.org/10.21541/apjess.1149455

Abstract

References

  • [1] P. Kundur, Power System Stability and Control, vol. 20073061. McGraw-Hill, 1994.
  • [2] H. Saadat, Power System Analysis. PSA Publishing LLC, 2011.
  • [3] B. K. Sahu, P. K. Mohanty, and N. Mishra, “Robust Analysis and Design of PID controlled AVR system using Pattern Search algorithm,” in IEEE International Conference on Power Electronics, Device and Energy System 2012, 2012.
  • [4] S. Panda, B. K. Sahu, and P. K. Mohanty, “Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization,” J. Franklin Inst., vol. 349, no. 8, pp. 2609–2625, 2012.
  • [5] M. A. Sahib, “A novel optimal PID plus second order derivative controller for AVR system,” Eng. Sci. Technol. an Int. J., vol. 18, no. 2, pp. 194–206, 2015.
  • [6] D. Mokeddem and S. Mirjalili, “Improved Whale Optimization Algorithm applied to design PID plus second-order derivative controller for automatic voltage regulator system,” J. Chinese Inst. Eng. Trans. Chinese Inst. Eng. A, vol. 43, no. 6, pp. 541–552, 2020.
  • [7] S. Ekinci, A. Demirören, H. L. Zeynelgil, and S. Kaya, “Böbrek-ilhamlı Algoritma ile Otomatik Gerilim Regülatör Sistemi için PID Kontrolör Tasarımı,” Gazi Üniversitesi Fen Bilim. Derg. Part C Tasarım ve Teknol., vol. 7, no. 2, pp. 383–398, 2019.
  • [8] S. Ekinci, A. Demirören, H. L. Zeynelgil, and B. Hekimoğlu, “An opposition-based atom search optimization algorithm for automatic voltage regulator system,” J. Fac. Eng. Archit. Gazi Univ., vol. 35, no. 3, pp. 1141–1157, 2020.
  • [9] M. Micev, M. Ćalasan, Z. M. Ali, H. M. Hasanien, and S. H. E. Abdel Aleem, “Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm,” Ain Shams Eng. J., vol. 12, no. 1, pp. 641–657, 2021.
  • [10] B. Hekimoǧlu and S. Ekinci, “Grasshopper optimization algorithm for automatic voltage regulator system,” 2018 5th Int. Conf. Electr. Electron. Eng. ICEEE 2018, pp. 152–156, 2018.
  • [11] P. K. Mohanty, B. K. Sahu, and S. Panda, “Tuning and assessment of proportional-integral-derivative controller for an automatic voltage regulator system employing local unimodal sampling algorithm,” Electr. Power Components Syst., vol. 42, no. 9, pp. 959–969, 2014.
  • [12] U. Güvenç, T. Yiǧit, A. H. Işik, and I. Akkaya, “Performance analysis of biogeography-based optimization for automatic voltage regulator system,” Turkish J. Electr. Eng. Comput. Sci., vol. 24, no. 3, pp. 1150–1162, 2016.
  • [13] M. S. Ayas and E. Sahin, “FOPID controller with fractional filter for an automatic voltage regulator,” Comput. Electr. Eng., vol. 90, no. April 2020, p. 106895, 2021.
  • [14] A. Sikander, P. Thakur, R. C. Bansal, and S. Rajasekar, “A novel technique to design cuckoo search based FOPID controller for AVR in power systems,” Comput. Electr. Eng., vol. 70, pp. 261–274, 2018.
  • [15] A. J. H. Al Gizi, “A particle swarm optimization, fuzzy PID controller with generator automatic voltage regulator,” Soft Comput., vol. 23, no. 18, pp. 8839–8853, 2019.
  • [16] M. H. Suid and M. A. Ahmad, “Optimal tuning of sigmoid PID controller using Nonlinear Sine Cosine Algorithm for the Automatic Voltage Regulator system,” ISA Trans., vol. 128, pp. 265–286, 2022.
  • [17] M. A. Labbaf Khaniki, M. Behzad Hadi, and M. Manthouri, “Feedback Error Learning Controller based on RMSprop and Salp Swarm Algorithm for Automatic Voltage Regulator System,” 2020 10h Int. Conf. Comput. Knowl. Eng. ICCKE 2020, pp. 425–430, 2020.
  • [18] V. Sharma, V. Kumar, R. Naresh, and V. Kumar, “Automatic voltage regulator system with state-feedback and PID based sliding mode control design,” Proc. 2021 1st Int. Conf. Adv. Electr. Comput. Commun. Sustain. Technol. ICAECT 2021, 2021.
  • [19] M. A. Al-Betar, Z. A. A. Alyasseri, M. A. Awadallah, and I. Abu Doush, “Coronavirus herd immunity optimizer (CHIO),” Neural Comput. Appl., vol. 33, no. 10, pp. 5011–5042, 2021.
  • [20] L. M. Dalbah, M. A. Al-Betar, M. A. Awadallah, and R. A. Zitar, “A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 8, pp. 4782–4795, 2022.
  • [21] M. Alweshah, S. Alkhalaileh, and M. A. Al-betar, “Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis,” Knowledge-Based Syst., vol. 235, p. 107629, 2022.
  • [22] M. Alqarni, “Sodium sulfur batteries allocation in high renewable penetration microgrids using coronavirus herd immunity optimization,” Ain Shams Eng. J., vol. 13, no. 2, p. 101590, 2022.
  • [23] S. Amini, S. Ghasemi, H. Golpira, and A. Anvari-moghaddam, “Coronavirus Herd Immunity Optimizer ( CHIO ) for Transmission Expansion Planning,” in 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021, no. 18.
  • [24] H. Gozde and M. C. Taplamacioglu, “Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system,” J. Franklin Inst., vol. 348, no. 8, pp. 1927–1946, 2011.
  • [25] “MATLAB.” The Mathworks, Inc., Natick, Massachusetts, United States.

Optimal Control of Automatic Voltage Regulator System with Coronavirus Herd Immunity Optimizer Algorithm-Based PID plus Second Order Derivative Controller

Year 2022, Volume: 10 Issue: 3, 174 - 183, 30.09.2022
https://doi.org/10.21541/apjess.1149455

Abstract

Optimal control of the Automatic Voltage Regulator (AVR) system can improve the system behavior with the optimal parameters obtained based on optimization. The design of proposed Proportional Integral Derivative (PID) and Proportional Integral Derivative Plus Second Order Derivative (PIDD2) controllers are stated as an optimization problem including objective and constraint. The optimization problem is solved by using Coronavirus herd immunity optimizer (CHIO) algorithm to find the best controller parameters. In this paper, optimal design of PID and PIDD2 controllers for AVR system are presented with different objectives. The optimal design of controllers modeled as an optimization problem is solved with the help of the CHIO Algorithm. CHIO is inspired herd immunity against COVID-19 disease by social distancing. The performances of CHIO-based controllers in AVR system are compared with some well-known algorithms. Also, the obtained results demonstrate that the CHIO algorithm yields the least objective value in comparison with the other algorithms. When the results of the proposed approach are compared to those of some modern heuristic optimization algorithms, such as the Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm, Artificial Bee Colony (ABC) algorithm etc. and the superiority of the proposed approach is demonstrated.

References

  • [1] P. Kundur, Power System Stability and Control, vol. 20073061. McGraw-Hill, 1994.
  • [2] H. Saadat, Power System Analysis. PSA Publishing LLC, 2011.
  • [3] B. K. Sahu, P. K. Mohanty, and N. Mishra, “Robust Analysis and Design of PID controlled AVR system using Pattern Search algorithm,” in IEEE International Conference on Power Electronics, Device and Energy System 2012, 2012.
  • [4] S. Panda, B. K. Sahu, and P. K. Mohanty, “Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization,” J. Franklin Inst., vol. 349, no. 8, pp. 2609–2625, 2012.
  • [5] M. A. Sahib, “A novel optimal PID plus second order derivative controller for AVR system,” Eng. Sci. Technol. an Int. J., vol. 18, no. 2, pp. 194–206, 2015.
  • [6] D. Mokeddem and S. Mirjalili, “Improved Whale Optimization Algorithm applied to design PID plus second-order derivative controller for automatic voltage regulator system,” J. Chinese Inst. Eng. Trans. Chinese Inst. Eng. A, vol. 43, no. 6, pp. 541–552, 2020.
  • [7] S. Ekinci, A. Demirören, H. L. Zeynelgil, and S. Kaya, “Böbrek-ilhamlı Algoritma ile Otomatik Gerilim Regülatör Sistemi için PID Kontrolör Tasarımı,” Gazi Üniversitesi Fen Bilim. Derg. Part C Tasarım ve Teknol., vol. 7, no. 2, pp. 383–398, 2019.
  • [8] S. Ekinci, A. Demirören, H. L. Zeynelgil, and B. Hekimoğlu, “An opposition-based atom search optimization algorithm for automatic voltage regulator system,” J. Fac. Eng. Archit. Gazi Univ., vol. 35, no. 3, pp. 1141–1157, 2020.
  • [9] M. Micev, M. Ćalasan, Z. M. Ali, H. M. Hasanien, and S. H. E. Abdel Aleem, “Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm,” Ain Shams Eng. J., vol. 12, no. 1, pp. 641–657, 2021.
  • [10] B. Hekimoǧlu and S. Ekinci, “Grasshopper optimization algorithm for automatic voltage regulator system,” 2018 5th Int. Conf. Electr. Electron. Eng. ICEEE 2018, pp. 152–156, 2018.
  • [11] P. K. Mohanty, B. K. Sahu, and S. Panda, “Tuning and assessment of proportional-integral-derivative controller for an automatic voltage regulator system employing local unimodal sampling algorithm,” Electr. Power Components Syst., vol. 42, no. 9, pp. 959–969, 2014.
  • [12] U. Güvenç, T. Yiǧit, A. H. Işik, and I. Akkaya, “Performance analysis of biogeography-based optimization for automatic voltage regulator system,” Turkish J. Electr. Eng. Comput. Sci., vol. 24, no. 3, pp. 1150–1162, 2016.
  • [13] M. S. Ayas and E. Sahin, “FOPID controller with fractional filter for an automatic voltage regulator,” Comput. Electr. Eng., vol. 90, no. April 2020, p. 106895, 2021.
  • [14] A. Sikander, P. Thakur, R. C. Bansal, and S. Rajasekar, “A novel technique to design cuckoo search based FOPID controller for AVR in power systems,” Comput. Electr. Eng., vol. 70, pp. 261–274, 2018.
  • [15] A. J. H. Al Gizi, “A particle swarm optimization, fuzzy PID controller with generator automatic voltage regulator,” Soft Comput., vol. 23, no. 18, pp. 8839–8853, 2019.
  • [16] M. H. Suid and M. A. Ahmad, “Optimal tuning of sigmoid PID controller using Nonlinear Sine Cosine Algorithm for the Automatic Voltage Regulator system,” ISA Trans., vol. 128, pp. 265–286, 2022.
  • [17] M. A. Labbaf Khaniki, M. Behzad Hadi, and M. Manthouri, “Feedback Error Learning Controller based on RMSprop and Salp Swarm Algorithm for Automatic Voltage Regulator System,” 2020 10h Int. Conf. Comput. Knowl. Eng. ICCKE 2020, pp. 425–430, 2020.
  • [18] V. Sharma, V. Kumar, R. Naresh, and V. Kumar, “Automatic voltage regulator system with state-feedback and PID based sliding mode control design,” Proc. 2021 1st Int. Conf. Adv. Electr. Comput. Commun. Sustain. Technol. ICAECT 2021, 2021.
  • [19] M. A. Al-Betar, Z. A. A. Alyasseri, M. A. Awadallah, and I. Abu Doush, “Coronavirus herd immunity optimizer (CHIO),” Neural Comput. Appl., vol. 33, no. 10, pp. 5011–5042, 2021.
  • [20] L. M. Dalbah, M. A. Al-Betar, M. A. Awadallah, and R. A. Zitar, “A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 8, pp. 4782–4795, 2022.
  • [21] M. Alweshah, S. Alkhalaileh, and M. A. Al-betar, “Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis,” Knowledge-Based Syst., vol. 235, p. 107629, 2022.
  • [22] M. Alqarni, “Sodium sulfur batteries allocation in high renewable penetration microgrids using coronavirus herd immunity optimization,” Ain Shams Eng. J., vol. 13, no. 2, p. 101590, 2022.
  • [23] S. Amini, S. Ghasemi, H. Golpira, and A. Anvari-moghaddam, “Coronavirus Herd Immunity Optimizer ( CHIO ) for Transmission Expansion Planning,” in 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021, no. 18.
  • [24] H. Gozde and M. C. Taplamacioglu, “Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system,” J. Franklin Inst., vol. 348, no. 8, pp. 1927–1946, 2011.
  • [25] “MATLAB.” The Mathworks, Inc., Natick, Massachusetts, United States.
There are 25 citations in total.

Details

Primary Language English
Subjects Software Engineering (Other)
Journal Section Research Articles
Authors

Selcuk Emiroglu 0000-0001-7319-8861

Talha Enes Gümüş 0000-0002-6716-6414

Early Pub Date September 16, 2022
Publication Date September 30, 2022
Submission Date July 27, 2022
Published in Issue Year 2022 Volume: 10 Issue: 3

Cite

IEEE S. Emiroglu and T. E. Gümüş, “Optimal Control of Automatic Voltage Regulator System with Coronavirus Herd Immunity Optimizer Algorithm-Based PID plus Second Order Derivative Controller”, APJESS, vol. 10, no. 3, pp. 174–183, 2022, doi: 10.21541/apjess.1149455.

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