Sintonización del regulador automático de tensión y estabilizador de sistemas de potencia usando optimización por enjambre de partículas
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https://doi.org/10.21754/tecnia.v33i1.1075Palabras clave:
Optimización por enjambre de partículas, Estabilidad Dinámica, Estabilizador del sistema de potencia, Regulador de tensión automáticoResumen
Este articulo presenta una nueva técnica de optimización para ajustar simultáneamente los parámetros de los controladores asociados a la regulación de tensión y aumentar la amortiguación de los generadores síncronos. Los parámetros del Regulador Automático de Voltaje (AVR - Automatic Voltage Regulation) y el Estabilizador del Sistema de Potencia (PSS - Power System Stabilizer) se optimizan mediante una modificación propuesta en la técnica de Optimización de Enjambre de Partículas Modificado (MPSO - Modified Particle Swarm Optimization). Para analizar el desempeño de los controladores, se utilizó una función objetivo basada en la respuesta en el tiempo del sistema para una variación en la tensión de referencia de la máquina. Los parámetros obtenidos para AVR y PSS se comparan con los valores calculados por la técnica de ajuste convencional y por la técnica MPSO. Los resultados de la simulación muestran que la técnica propuesta fue eficiente en el ajuste de los parámetros AVR y PSS, destacando su simplicidad, bajo esfuerzo computacional y buenas características de convergencia.
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[29] P. M. Anderson, A.-A. A. Fouad, y I. of E. y E. Engineers, Power system control and stability. IEEE Press, 2003.
[2] 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, oct. 2006, doi: 10.1016/j.eswa.2005.09.061.
[3] H. Bourles, S. Peres, T. Margotin, y M. P. Houry, “Analysis and design of a robust coordinated AVR/PSS”, IEEE Transactions on Power Systems, vol. 13, no. 2, pp. 568–575, may. 1998, doi: 10.1109/59.667384.
[4] P. S. Rao y I. Sen, “Robust pole placement stabilizer design using linear matrix inequalities”, IEEE Transactions on Power Systems, vol. 15, no. 1, pp. 313–319, feb. 2000, doi: 10.1109/59.852138.
[5] 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, nov. 2000, doi: 10.1016/S0142-0615(00)00027-2.
[6] G. Gurrala y I. Sen, “Power System Stabilizers Design for Interconnected Power Systems”, IEEE Transactions on Power Systems, vol. 25, no. 2, pp. 1042–1051, may 2010, doi: 10.1109/TPWRS.2009.2036778.
[7] D. P. Ke, C. Y. Chung, y 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, nov. 2011, doi: 10.1109/TPWRS.2011.2123119.
[8] S. Panda y 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, mar. 2008, doi: 10.1016/j.jfranklin.2007.08.002.
[9] B. Selvabala y D. Devaraj, “Co-ordinated Design of AVR-PSS Using Multi Objective Genetic Algorithm”, en Swarm, Evolutionary, and Memetic Computing, Berlin, Heidelberg, 2010, pp. 481–493, doi: 10.1007/978-3-642-17563-3_57.
[10] A. Kahouli, T. Guesmi, H. Hadj Abdallah, y A. Ouali, “A genetic algorithm PSS and AVR controller for electrical power system stability”, en 2009 6th International Multi-Conference on Systems, Signals and Devices, mar. 2009, pp. 1–6, doi: 10.1109/SSD.2009.4956736.
[11] J. Usman, M. W. Mustafa, G. Aliyu, y B. U. Musa, “Coordinated AVR-PSS for Transient Stability Using Modified Particle Swarm Optimization”, Jurnal Teknologi, vol. 67, no. 3, mar. 2014, doi: 10.11113/jt.v67.2758.
[12] A. D. Falehi, M. Rostami, y H. Mehrjadi, “Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique”, Engineering, vol. 3, no. 5, pp. 720–726, jun. 2011, doi: 10.4236/eng.2011.35055.
[13] M. A. Abido y Y. L. Abdel-Magid, “Robust design of multimachine power system stabilisers using tabu search algorithm”, Transmission and Distribution IEE Proceedings - Generation, vol. 147, no. 6, pp. 387–394, nov. 2000, doi: 10.1049/ip-gtd:20000717.
[14] S. S. S. Farahani, M. Nikzad, M. G. Naraghi, M. B. Tabar, y A. Javadian, “Power System Stabilizer Parameters Tuning Based On Tabu Search in a Multi Machine Power System”, p. 7, 2011.
[15] B. Selvabala y D. Devaraj, “Co-ordinated tuning of AVR-PSS using differential evolution algorithm”, en 2010 Conference Proceedings IPEC, oct. 2010, pp. 439–444, doi: 10.1109/IPECON.2010.5697036.
[16] S. S. S. Farahani, M. Nikzad, M. B. Tabar, y M. G. N. and A. Javadian, “Multi-machine power system stabilizer adjustment using Simulated Annealing”, Indian Journal of Science and Technology, no. 8, ago. 08, 2011.
[17] A. M. El-Zonkoly, A. A. Khalil, y 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, Part 1, pp. 2097–2106, mar. 2009, doi: 10.1016/j.eswa.2007.12.069.
[18] M. Shafiullah, M. J. Rana, y M. A. Abido, “Power system stability enhancement through optimal design of PSS employing PSO”, en 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), set. 2017, pp. 26–31, doi: 10.1109/ICAEE.2017.8255321.
[19] W. S. Mota, Simulação de transitórios eletromecânicos em sistemas de potência. Campina Grande: EPGRAF, 2006.
[20] “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, ago. 2016, doi: 10.1109/IEEESTD.2016.7553421.
[21] K. Ogata, INGENIERÍA DE CONTROL MODERNA. Madrid, 2010.
[22] Zwe-Lee 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, jun. 2004, doi: 10.1109/TEC.2003.821821.
[23] Kennedy, J., Eberhart, R. C., y Shi, Y, Swarm Intelligence. Elsevier, 2001.
[24] Y. Shi y 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), may 1998, pp. 69–73, doi: 10.1109/ICEC.1998.699146.
[25] R. C. Eberhart y Yuhui Shi, “Tracking and optimizing dynamic systems with particle swarms”, en Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546), may. 2001, vol. 1, pp. 94–100 vol. 1, doi: 10.1109/CEC.2001.934376.
[26] J. Xin, G. Chen, y Y. Hai, “A Particle Swarm Optimizer with Multi-stage Linearly-Decreasing Inertia Weight”, in 2009 International Joint Conference on Computational Sciences and Optimization, abr. 2009, vol. 1, pp. 505–508, doi: 10.1109/CSO.2009.420.
[27] Guimin Chen, Xinbo Huang, Jianyuan Jia, y Zhengfeng Min, “Natural Exponential Inertia Weight Strategy in Particle Swarm Optimization”, en 2006 6th World Congress on Intelligent Control and Automation, jun. 2006, vol. 1, pp. 3672–3675, doi: 10.1109/WCICA.2006.1713055.
[28] J. N. R. da Silva Junior, “Sintonia ótima de regulador automático de tensão e estabilizador de sistema de potência utilizando algoritmo de otimização por enxame de partículas”, 2012.
[29] P. M. Anderson, A.-A. A. Fouad, y I. of E. y E. Engineers, Power system control and stability. IEEE Press, 2003.
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Publicado
2023-06-01
Cómo citar
[1]
Z. Ñaupari Huatuco, F. W. Rodrigues, y Y. P. Molina Rodriguez, «Sintonización del regulador automático de tensión y estabilizador de sistemas de potencia usando optimización por enjambre de partículas», TECNIA, vol. 33, n.º 1, pp. 1–9, jun. 2023.
Número
Sección
Energía renovables, ingeniería eléctrica y/o sistemas de potencia
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Derechos de autor 2023 TECNIA
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