Simultaneous Tuning of AVR and PSS Using Particle Swarm Optimization with Two Stages

Authors

  • FRANK Universidade Federal da Paraíba - UFPB/Estudante https://orcid.org/0000-0002-6436-1126
  • Yuri Molina Universidade Federal da Paraiba (UFPB), Joao Pessoa, Paraíba, 58051900, Brasil.
  • Clivaldo Araujo Universidade Federal da Paraiba (UFPB), Joao Pessoa, Paraíba, 58051900, Brasil.

Keywords:

Automatic Voltage Regulator, Stabilizer System Power, Particle Swarm Optimization.

Abstract

This work presents a new method for simultaneous adjustment of automatic voltage regulator (AVR) and power system stabilizer (PSS) parameters to control voltage oscillations and damping in a synchronous generator using the particle swarm optimization algorithm (PSO) with two stages. The increment of a new stage aims to improve the efficiency of the PSO method, providing a better performance of the system. The algorithm was developed in Matlab software and used for the linearized 3-order model of a synchronous generator connected to an infinite bus. To analyze the performance of the controllers an objective function was used based on the system time response to a change in the reference voltage. The results were compared with the values found by the classical design method of the conventional tuning technique.

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Author Biographies

FRANK, Universidade Federal da Paraíba - UFPB/Estudante

Frank Wesley Rodrigues possui graduação em Engenharia Elétrica (2017) na Universidade Federal de Campina Grande. Atualmente é aluno de mestrado do Programa de Pós Graduação em Engenharia Elétrica da Universidade Federal da Paraíba. Atuando na área de Engenharia Elétrica, com ênfase em Sistema de Potência, principalmente nos seguintes temas: dinâmica e controle de sistemas de potência.

Yuri Molina, Universidade Federal da Paraiba (UFPB), Joao Pessoa, Paraíba, 58051900, Brasil.

Yuri P. M. Rodriguez possui graduação em Engenharia Elétrica (2003) pela Universidade Nacional de Engenharia, Lima, Peru. M.Sc. em Sistemas de Potência (2005), na Universidade Federal do Maranhão. Doutorado em Engenharia Elétrica (2009) pela Universidade Católica do Rio de Janeiro, Brasil. Atualmente é Professor Adjunto do Departamento de Engenharia Elétrica da Universidade Federal da Paraíba, Centro de Energias Alternativas e Renováveis. Seus interesses abrangem operação de sistemas de potência em ambiente competitivo.

Clivaldo Araujo, Universidade Federal da Paraiba (UFPB), Joao Pessoa, Paraíba, 58051900, Brasil.

Clivaldo Silva Araújo possui graduação em Engenharia Elétrica pela Universidade Federal da Paraíba (1980), Mestrado em Engenharia Elétrica pela Universidade Federal da Paraíba (1988) e doutorado em Engenharia Elétrica pela Universidade Federal da Paraíba (1992). Atualmente é professor Titular da Universidade Federal da Paraíba. Tem experiência na área de Engenharia Elétrica, com ênfase em Medição, Controle, Correção e Proteção de Sistemas Elétricos de Potência, atuando principalmente nos seguintes temas: dinâmica e controle de sistemas de potência e mecânicos, eficiência energética.

References

P. Kundur, N. J. Balu and M. G. Lauby. Power System Stability and Control. vol. 7. New York: McGraw-hill,1994.

A. M. El-Zonkoly, “Optimal tuning of power systems stabilizers and AVR gains using particle swarm optimization,” Expert Systems with Applications, vol. 31, no. 3, pp. 551-557, 2006.

K. Hirayama et. al., “Digital AVR application to power plants,” IEEE Transactions on Energy Conversion, vol. 8, no. 4, pp. 602-609, 1993.

A. Dysko, W. E. Leithead, J. O’reilly, “Enhanced power system stability by coordinated PSS design,” IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 413-422, 2009.

A. Mahabuba, M. A. Khan, “Small signal stability enhancement of a multimachine power system using robust and adaptive fuzzy neural network based power system stabilizer,” European Transactions on Electrical Power, vol. 19, no. 7, pp. 978-1001, 2009.

F. P. D. Mello, C. Concordia, “Concepts of synchronous machine stability as affected by excitation control,” IEEE Transactions on Power Apparatus and Systems, vol. 88, no. 4, pp. 316-329, 1969.

K. Sundareswaran, S. R. Begun, “Genetic tuning of a power system stabilizer,” European Transactions on Electrical Power, vol. 14, no. 3, pp. 151-160, 2004.

H. Bourles, S. Peres, M. P. Houry, “Analysis and design of a robust coordinated AVR/PSS”. IEEE Transactions on Power Systems, vol. 13, no. 2, pp. 568-575, 1998.

P. S Rao, I. Sen, “Robust pole placement stabilizer design using linear matrix inequalities,” IEEE Transactions on Power Systems, vol. 15, no. 1, pp. 313-319, 2000.

M. A. Abido, “Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing,” International Journal of Electrical Power & Energy Systems, vol. 22, no. 8, pp. 543-554, 2000.

G. Gurrala, I. Sen, “Power system stabilizers design for interconnected power systems,” IEEE Transactions on Power Systems, vol. 25, no. 2, pp. 1042-1051, 2010.

D. P. Ke, C. Y. Chung and Y. Xue, “An eigenstructure-based performance index and its application to control design for damping inter-area oscillations in power systems,” IEEE Transactions on Power Systems, vol. 26, no. 4, pp. 2371-2380, 2011.

S. Panda, N. P. Padhy, “Optimal location and controller design of STATCOM for power system stability improvement using PSO,” Journal of the Franklin Institute, vol. 345, no. 2, pp. 166-181, 2008.

B. Selvabala, D. Devaraj, “Co-ordinated design of AVR-PSS using multi objective genetic algorithm,” in International Conference on Swarm, Evolutionary, and Memetic Computing. Springer, Berlin, Heidelberg, 2010. pp. 481-493.

A. Kahouli, T. Guesmi, H. H. Adballah, A. Ouali, “A genetic algorithm PSS and AVR controller for electrical power system stability”, in 2009 6th International Multi-Conference on Systems, Signals and Devices. IEEE, 2009. pp. 1-6.

J. Usman, M. W. Mustafa, G. Aliyu, B. U. Musa, “Coordinated AVR-PSS for Transient Stability Using Modified Particle Swarm Optimization,” Jurnal Teknologi, vol. 67, no. 3, 2014.

A. D. Falehi, M. Rostami and H. Mehrjadi, “Transient stability analysis of power system by coordinated PSS-AVR design based on PSO technique,” Engineering, vol. 3, no. 05, pp. 478, 2011.

M. A. Abido, Y. L. Abdel-Magid, “Robust design of multimachine power system stabilisers using tabu search algorithm,” IEE Proceedings-Generation, Transmission and Distribution, vol. 147, no. 6, pp. 387-394, 2000.

S. S. Farahani, M. Nikzad, M. G. Naraghi, M. B. Tabar, A. Javadian, “Power System Stabilizer Parameters Tuning Based on Tabu Search in a Multi Machine Power System”, Australian Journal of Basic and Applied Sciences. vol.5, no. 8, pp. 624–630, 2011.

B. Selvabala, D. Devaraj, “Co-ordinated tuning of AVR-PSS using differential evolution algorithm,” in 2010 Conference Proceedings IPEC. IEEE, pp. 439-444, 2010.

S. S. Farahani, M. Nikzad, M. B. Tabar, M. G. Naraghi, A. Javadian, “Multi-machine Power System Stabilizer Adjustment using Simulated Annealing,” Indian Journal of Science and Technology. vol.4, no.8, pp. 886–889, 2011.

A. M. El-Zonkoly, A. A. Khalil and N. M. Ahmied, “Optimal tunning of lead-lag and fuzzy logic power system stabilizers using particle swarm optimization,” Expert Systems with Applications, vol. 36, no. 2, pp. 2097-2106, 2009.

M. Shafiullah, M. J. Rana and M. A. Abido, “Power system stability enhancement through optimal design of PSS employing PSO,” in 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2017. pp. 26-31, 2017.

J. N. Junior, “Sintonia Ótima de Regulador Automática de Tensão e Estabilizador de Sistema de Potência Utilizando Algoritmo de Otimização por Enxame de Partículas”. Dissertação (Mestrado), UFCE, Fortaleza, CE, Brasil, 2012.

P. M. Anderson, A. Fouad, Power System Control and Stability. John Wiley & Sons, 2008.

IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE Std 421.5-2016 (Revision of IEEE Std 421.5-2005), pp. 1-207, 2016.

Y. A. Baza, S. M. Cozo and R. L. Nayeli, “Excitation System Type ST1 for a Synchronous Machine”, International Journal of Engineering and Science. vol. 4, no. 4, pp. 44-53, 2015.

W. Heffron, R. Phillips, “Effect of a modern amplidyne voltage regulator on underexcited operation of large turbine generators,” Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, vol. 71, no. 3, pp. 692-697, 1952.

K. R. Padiyar, Power System Dynamics: Stability and Control. New York: John Wiley, 1996.

W. S. Mota, Simulação de Transitórios Eletromecânicos em Sistemas de Potência. Campina Grande: EPGRAF, 2006.

H. F. Ogata. Engenharia de Controle Moderno, 5. ed. São Paulo, Pearson Prentice Hall, 2010.

Z. L. Gaing, “A particle swarm optimization approach for optimum design of PID controller in AVR system,” IEEE Transactions on Energy Conversion, vol. 19, no. 2, pp. 384-391, 2004.

A. B. Serapião, “Fundamentos de otimização por inteligência de enxames: uma visão geral,” Sba: Controle & Automação Sociedade Brasileira de Automática, vol. 20, no. 3, pp. 271-304, 2009.

J. Kennedy, R. Eberhart, “Particle swarm optimization,” in Proceedings of the 1995 IEEE International Conference on Neural Networks, vol. 4,no. 1, pp. 1942–1948, 1995.

R. A. Pegado, Y. P. Rodriguez, “Distribution Network Reconfiguration with the OpenDSS using Improved Binary Particle Swarm Optimization,” IEEE Latin America Transactions, vol. 16, no. 6, pp. 1677-1683, 2018.

Abido, A. A. “Particle swarm optimization for multimachine power system stabilizer design”, in 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No. 01CH37262), IEEE, 2001. pp. 1346-1351.

Y. Shi, R. Eberhart, “A modified particle swarm optimizer”, in 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98TH8360). IEEE,. pp. 69-73, 1998.

Published

2021-03-13
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