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FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM

Yıl 2017, Cilt: 17 Sayı: 2, 3489 - 3496, 27.07.2017

Murat Caner Seydi Vakkas Üstün Yüksel Oğuz

Öz

This paper investigated the rule table optimization of fuzzy power system
stabilizer (FPSS) benefiting from rule basis of related previous studies. In
the previous studies, fuzzy rules for Power System Stabilizer (PSS) were
obtained by trial and error according to the experience of experts. There were
a few rule tables occurred in that way in the literature. In this subject
field, five rule tables with a few differences among them were taken. Genetic
algorithm (GA) was employed as an optimization method, and single machine
infinite bus (SMIB) model was used for simulation system. This work proposed to
contribute optimization performance of FPSS adding these rule tables to the
initial population of GA. Thus GAs reached an optimum solution more quickly. Simulation
studies and ITAE performance results for four loading conditions were shown. The
effectiveness of the proposed approach was discussed by comparing it with the
five rule tables.

Anahtar Kelimeler

Power system stabilizer optimization fuzzy control rule table genetic algorithm

Kaynakça

  • Lu, J., Nehrir, M.H. and Pierre, D.A., “A fuzzy logic-based adaptive power system stabilizer for multi-machine systems,” Electr. Power Syst. Res., vol. 60, no. 2, pp. 115–121, 2001. doi:10.1109/PESS.2000.867421
  • Bouchama, Z. and Harmas, M.N., “Optimal robust adaptive fuzzy synergetic power system stabilizer design,” Electr. Power Syst. Res., vol. 83, no. 1, pp. 170–175, Feb. 2012. doi:10.1016/j.epsr.2011.11.003
  • Wang, S.K. “Coordinated parameter design of power system stabilizers and static synchronous compensator using gradual hybrid differential evaluation,” Int. J. Electr. Power Energy Syst., vol. 81, pp. 165–174, Oct. 2016. doi:10.1016/j.ijepes.2016.02.016
  • Mitra, P., Chowdhury, S., Chowdhury, S.P., Pal, S.K., Lahiri, R.N. and Song, Y.H., “Performance of A Fuzzy Power System Stabilizer With Tie Line Active Power Deviation Feedback,” 2006 IEEE PES Power Syst. Conf. Expo., pp. 884–889, 2006. doi:10.1109/PSCE.2006.296431
  • Malik, O.P., “A Fuzzy Logic Based PSS Using a Standardized Rule Table,”, Electric Machines & Power Systems, Volume 27, Issue 3, pp. 295–310, 1999. doi:10.1080/073135699269316
  • Hwang, G-H., Kim, D-W., Lee, J-H. and An, Y-J., “Design of fuzzy power system stabilizer using adaptive evolutionary algorithm,” Eng. Appl. Artif. Intell., vol. 21, no. 1, pp. 86–96, 2008. doi:10.1016/j.engappai.2006.11.008
  • Mrad, F., Karaki, S. and Copti, B., “A novel fuzzy logic synchronous machine stabilizer,” IAS ’97. Conf. Rec. 1997 IEEE Ind. Appl. Conf. Thirty-Second IAS Annu. Meet., vol. 2, pp. 797–803. doi:10.1109/IAS.1997.628953
  • Cheng Y. and Elangovan, S., “Enhanced power system stabilizer via integrated tabu–fuzzy knowledge based controller,” Int. J. Electr. Power Energy Syst., vol. 25, no. 7, pp. 543–550, 2003. doi:10.1016/S0142-0615(02)00160-6
  • Safaee B. and Mashhadi, S.K.M., “Fuzzy membership functions optimization of fuzzy controllers for a quad rotor using particle swarm optimization and genetic algorithm,” in 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA), 2016, vol. 7, pp. 256–261. doi:10.1109/ICCIAutom.2016.7483170
  • Caner, M., Umurkan, N., Tokat, S. and Üstün, S.V., “Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN,” Expert Syst. Appl., vol. 34, no. 4, pp. 2650–2655, 2008. doi:10.1016/j.eswa.2007.05.038
  • Abido, M.A. and Abdel-Magid, Y.L., “A hybrid neuro-fuzzy power system stabilizer for multimachine power systems,” IEEE Trans. Power Syst., vol. 13, no. 4, pp. 1323–1330, 1998. doi:10.1109/59.736272
  • Hongesombut, K. and Mitani, Y., “Implementation of Advanced Genetic Algorithm to Modern Power System Stabilization Control,” pp. 1–6. doi:10.1109/PSCE.2004.1397451
  • Lakshmi, P. and Abdullah Khan, M., “Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm,” Int. J. Electr. Power Energy Syst., vol. 22, no. 2, pp. 137–145, Feb. 2000. doi:10.1016/S0142-0615(99)00043-5
  • Hassan, L. H., Moghavvemi, M., Almurib, H. A. F., Muttaqi, K. M. and Ganapathy, V. G., “Optimization of power system stabilizers using participation factor and genetic algorithm,” Int. J. Electr. Power Energy Syst., vol. 55, pp. 668–679, Feb. 2014. doi:10.1016/j.ijepes.2013.10.026
  • J. Fraile-Ardanuy and P. J. Zufiria, “Adaptive power system stabilizer using ANFIS and genetic algorithms,” Proc. 44th IEEE Conf. Decis. Control. Eur. Control Conf. CDC-ECC ’05, vol. 2005, pp. 8028–8033, 2005. doi:10.1109/CDC.2005.1583461
  • Dawoud, M.M., “Simultaneous stabilisation of power systems using genetic algorithms,” Transm. Distrib. (former title), pp. 39–44. doi:10.1049/ip-gtd:19970785
  • Abdel-Magid, Y.L., Abido, M.A., Al-Baiyat, S. and Mantawy, A. H., “Simultaneous stabilization of multimachine power systems via genetic algorithms,” IEEE Trans. Power Syst., vol. 14, no. 4, pp. 1428–1439, 1999. doi:10.1109/59.801907
  • Abido M.A., and Abdel-Magid, Y. “A Genetic-Based Power System Stabilizer,” Electr. Mach. Power Syst., vol. 26, no. 6, pp. 559–571, 1998. doi:10.1080/07313569808955841
  • Fraile-Ardanuy J. and Zufiria, P.J., “Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms,” Neurocomputing, vol. 70, no. 16–18, pp. 2902–2912, 2007. doi:10.1016/j.neucom.2006.06.014
  • Demello, F.P. and Concordia, C., “Concepts of Synchronous Machine Stability as Affected by Excitation Control,” IEEE Trans. Power Appar. Syst., vol. PAS-88, pp. 316–329, 1969. doi:10.1109/TPAS.1969.292452
  • El-Zonkoly, A.M., “Optimal tuning of power systems stabilizers and AVR gains using particle swarm optimization,” Expert Syst. Appl., vol. 31, no. 3, pp. 551–557, 2006. doi:10.1016/j.eswa.2005.09.061
  • Gupta R. Bandyopadhyay, B. and Kulkarni, A. M. “Design of power system stabilizer for single machine system using robust fast output sampling feedback technique,” Electr. Power Syst. Res., vol. 65, no. 3, pp. 247–257, 2003. doi:10.1016/S0378-7796(03)00017-8
  • Iruthayarajan, M. W. and Baskar, S., “Evolutionary algorithms based design of multivariable PID controller,” Expert Syst. Appl., vol. 36, no. 5, pp. 9159–9167, 2009. doi:10.1016/j.eswa.2008.12.033

Yıl 2017, Cilt: 17 Sayı: 2, 3489 - 3496, 27.07.2017

Murat Caner Seydi Vakkas Üstün Yüksel Oğuz

Öz

Kaynakça

  • Lu, J., Nehrir, M.H. and Pierre, D.A., “A fuzzy logic-based adaptive power system stabilizer for multi-machine systems,” Electr. Power Syst. Res., vol. 60, no. 2, pp. 115–121, 2001. doi:10.1109/PESS.2000.867421
  • Bouchama, Z. and Harmas, M.N., “Optimal robust adaptive fuzzy synergetic power system stabilizer design,” Electr. Power Syst. Res., vol. 83, no. 1, pp. 170–175, Feb. 2012. doi:10.1016/j.epsr.2011.11.003
  • Wang, S.K. “Coordinated parameter design of power system stabilizers and static synchronous compensator using gradual hybrid differential evaluation,” Int. J. Electr. Power Energy Syst., vol. 81, pp. 165–174, Oct. 2016. doi:10.1016/j.ijepes.2016.02.016
  • Mitra, P., Chowdhury, S., Chowdhury, S.P., Pal, S.K., Lahiri, R.N. and Song, Y.H., “Performance of A Fuzzy Power System Stabilizer With Tie Line Active Power Deviation Feedback,” 2006 IEEE PES Power Syst. Conf. Expo., pp. 884–889, 2006. doi:10.1109/PSCE.2006.296431
  • Malik, O.P., “A Fuzzy Logic Based PSS Using a Standardized Rule Table,”, Electric Machines & Power Systems, Volume 27, Issue 3, pp. 295–310, 1999. doi:10.1080/073135699269316
  • Hwang, G-H., Kim, D-W., Lee, J-H. and An, Y-J., “Design of fuzzy power system stabilizer using adaptive evolutionary algorithm,” Eng. Appl. Artif. Intell., vol. 21, no. 1, pp. 86–96, 2008. doi:10.1016/j.engappai.2006.11.008
  • Mrad, F., Karaki, S. and Copti, B., “A novel fuzzy logic synchronous machine stabilizer,” IAS ’97. Conf. Rec. 1997 IEEE Ind. Appl. Conf. Thirty-Second IAS Annu. Meet., vol. 2, pp. 797–803. doi:10.1109/IAS.1997.628953
  • Cheng Y. and Elangovan, S., “Enhanced power system stabilizer via integrated tabu–fuzzy knowledge based controller,” Int. J. Electr. Power Energy Syst., vol. 25, no. 7, pp. 543–550, 2003. doi:10.1016/S0142-0615(02)00160-6
  • Safaee B. and Mashhadi, S.K.M., “Fuzzy membership functions optimization of fuzzy controllers for a quad rotor using particle swarm optimization and genetic algorithm,” in 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA), 2016, vol. 7, pp. 256–261. doi:10.1109/ICCIAutom.2016.7483170
  • Caner, M., Umurkan, N., Tokat, S. and Üstün, S.V., “Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN,” Expert Syst. Appl., vol. 34, no. 4, pp. 2650–2655, 2008. doi:10.1016/j.eswa.2007.05.038
  • Abido, M.A. and Abdel-Magid, Y.L., “A hybrid neuro-fuzzy power system stabilizer for multimachine power systems,” IEEE Trans. Power Syst., vol. 13, no. 4, pp. 1323–1330, 1998. doi:10.1109/59.736272
  • Hongesombut, K. and Mitani, Y., “Implementation of Advanced Genetic Algorithm to Modern Power System Stabilization Control,” pp. 1–6. doi:10.1109/PSCE.2004.1397451
  • Lakshmi, P. and Abdullah Khan, M., “Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm,” Int. J. Electr. Power Energy Syst., vol. 22, no. 2, pp. 137–145, Feb. 2000. doi:10.1016/S0142-0615(99)00043-5
  • Hassan, L. H., Moghavvemi, M., Almurib, H. A. F., Muttaqi, K. M. and Ganapathy, V. G., “Optimization of power system stabilizers using participation factor and genetic algorithm,” Int. J. Electr. Power Energy Syst., vol. 55, pp. 668–679, Feb. 2014. doi:10.1016/j.ijepes.2013.10.026
  • J. Fraile-Ardanuy and P. J. Zufiria, “Adaptive power system stabilizer using ANFIS and genetic algorithms,” Proc. 44th IEEE Conf. Decis. Control. Eur. Control Conf. CDC-ECC ’05, vol. 2005, pp. 8028–8033, 2005. doi:10.1109/CDC.2005.1583461
  • Dawoud, M.M., “Simultaneous stabilisation of power systems using genetic algorithms,” Transm. Distrib. (former title), pp. 39–44. doi:10.1049/ip-gtd:19970785
  • Abdel-Magid, Y.L., Abido, M.A., Al-Baiyat, S. and Mantawy, A. H., “Simultaneous stabilization of multimachine power systems via genetic algorithms,” IEEE Trans. Power Syst., vol. 14, no. 4, pp. 1428–1439, 1999. doi:10.1109/59.801907
  • Abido M.A., and Abdel-Magid, Y. “A Genetic-Based Power System Stabilizer,” Electr. Mach. Power Syst., vol. 26, no. 6, pp. 559–571, 1998. doi:10.1080/07313569808955841
  • Fraile-Ardanuy J. and Zufiria, P.J., “Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms,” Neurocomputing, vol. 70, no. 16–18, pp. 2902–2912, 2007. doi:10.1016/j.neucom.2006.06.014
  • Demello, F.P. and Concordia, C., “Concepts of Synchronous Machine Stability as Affected by Excitation Control,” IEEE Trans. Power Appar. Syst., vol. PAS-88, pp. 316–329, 1969. doi:10.1109/TPAS.1969.292452
  • El-Zonkoly, A.M., “Optimal tuning of power systems stabilizers and AVR gains using particle swarm optimization,” Expert Syst. Appl., vol. 31, no. 3, pp. 551–557, 2006. doi:10.1016/j.eswa.2005.09.061
  • Gupta R. Bandyopadhyay, B. and Kulkarni, A. M. “Design of power system stabilizer for single machine system using robust fast output sampling feedback technique,” Electr. Power Syst. Res., vol. 65, no. 3, pp. 247–257, 2003. doi:10.1016/S0378-7796(03)00017-8
  • Iruthayarajan, M. W. and Baskar, S., “Evolutionary algorithms based design of multivariable PID controller,” Expert Syst. Appl., vol. 36, no. 5, pp. 9159–9167, 2009. doi:10.1016/j.eswa.2008.12.033
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Makaleler
Yazarlar

Murat Caner

Seydi Vakkas Üstün

Yüksel Oğuz

Yayımlanma Tarihi 27 Temmuz 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 17 Sayı: 2

Kaynak Göster

APA Caner, M., Üstün, S. V., & Oğuz, Y. (2017). FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM. IU-Journal of Electrical & Electronics Engineering, 17(2), 3489-3496.
AMA Caner M, Üstün SV, Oğuz Y. FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM. IU-Journal of Electrical & Electronics Engineering. Temmuz 2017;17(2):3489-3496.
Chicago Caner, Murat, Seydi Vakkas Üstün, ve Yüksel Oğuz. “FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM”. IU-Journal of Electrical & Electronics Engineering 17, sy. 2 (Temmuz 2017): 3489-96.
EndNote Caner M, Üstün SV, Oğuz Y (01 Temmuz 2017) FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM. IU-Journal of Electrical & Electronics Engineering 17 2 3489–3496.
IEEE M. Caner, S. V. Üstün, ve Y. Oğuz, “FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM”, IU-Journal of Electrical & Electronics Engineering, c. 17, sy. 2, ss. 3489–3496, 2017.
ISNAD Caner, Murat vd. “FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM”. IU-Journal of Electrical & Electronics Engineering 17/2 (Temmuz 2017), 3489-3496.
JAMA Caner M, Üstün SV, Oğuz Y. FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM. IU-Journal of Electrical & Electronics Engineering. 2017;17:3489–3496.
MLA Caner, Murat vd. “FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM”. IU-Journal of Electrical & Electronics Engineering, c. 17, sy. 2, 2017, ss. 3489-96.
Vancouver Caner M, Üstün SV, Oğuz Y. FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM. IU-Journal of Electrical & Electronics Engineering. 2017;17(2):3489-96.
 Kapak Resmi İndir