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Year 2015, Volume: 36 Issue: 3, 2405 - 2411, 13.05.2015

Abstract

References

  • Nasar. A,PreethyK J Abdul Jaleel, "Performance Evaluation of GA and RL based PSS of a Multi-Machine System," International Conference on Circuits, Power and Computing Technologies, pp. 161-166, 3112.
  • V.J. Savsani, D.P. Vakharia R.V. Rao, "Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems," Computer-Aided Design, no. 12, pp. 212–213, 3111.
  • V.J. Savsani, D.P. Vakharia R.V. Rao, "Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems," Information Sciences, no. 182, pp. 1–13, 3113.
  • Anderson PM, Fouad AA. Power system control and stability. Ames (IA): Iowa State Univ. Press; 1711.

Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System

Year 2015, Volume: 36 Issue: 3, 2405 - 2411, 13.05.2015

Abstract

Abstract. One of the main problems that lead to instability in a power system is the low frequency oscillation caused by swinging generator rotor. These disturbances cause oscillations at low frequencies that are undesirable since it affects the amount of transferred power through the transmission lines and leads to external stress to the mechanical shaft. In order to compress effectively low-frequency oscillations, a common means is to add a supplementary signal to the synchronous generator excitation system. This is the so-called power system stabilizer, PSS. The parameters of the power system stabilizer have been tuned by the two ways, particle swarm optimization (PSO) and teaching–learning based optimization (TLBO). The robustness of the proposed TLBO-based PSSs (TLBOPSS) is verified on a multi-machine power system under different operating conditions and disturbances. The results of the proposed TLBOPSS are compared with the particle swarm optimization based tuned PSS through eigenvalue analysis, nonlinear time-domain simulation and some performance indices to illustrate its robust performance for a wide range of loading conditions.

References

  • Nasar. A,PreethyK J Abdul Jaleel, "Performance Evaluation of GA and RL based PSS of a Multi-Machine System," International Conference on Circuits, Power and Computing Technologies, pp. 161-166, 3112.
  • V.J. Savsani, D.P. Vakharia R.V. Rao, "Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems," Computer-Aided Design, no. 12, pp. 212–213, 3111.
  • V.J. Savsani, D.P. Vakharia R.V. Rao, "Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems," Information Sciences, no. 182, pp. 1–13, 3113.
  • Anderson PM, Fouad AA. Power system control and stability. Ames (IA): Iowa State Univ. Press; 1711.
There are 4 citations in total.

Details

Journal Section Special
Authors

Hadi Delavari

Ehsan Bayat This is me

Publication Date May 13, 2015
Published in Issue Year 2015 Volume: 36 Issue: 3

Cite

APA Delavari, H., & Bayat, E. (2015). Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 36(3), 2405-2411.
AMA Delavari H, Bayat E. Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. May 2015;36(3):2405-2411.
Chicago Delavari, Hadi, and Ehsan Bayat. “Performance Evaluation of Power System Stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36, no. 3 (May 2015): 2405-11.
EndNote Delavari H, Bayat E (May 1, 2015) Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36 3 2405–2411.
IEEE H. Delavari and E. Bayat, “Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System”, Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, vol. 36, no. 3, pp. 2405–2411, 2015.
ISNAD Delavari, Hadi - Bayat, Ehsan. “Performance Evaluation of Power System Stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36/3 (May 2015), 2405-2411.
JAMA Delavari H, Bayat E. Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36:2405–2411.
MLA Delavari, Hadi and Ehsan Bayat. “Performance Evaluation of Power System Stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, vol. 36, no. 3, 2015, pp. 2405-11.
Vancouver Delavari H, Bayat E. Performance Evaluation of power system stabilizers Using Teaching Learning Based Optimization of a Multi-Machine System. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36(3):2405-11.