PSO-TVAC algorithm for multi objective PSS design in multi-machine power system

Proceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011

Volumn 1, Issue , 2011, Pages 76-81

  Ghasemi, A ^a   Abedinia, O ^b   Shayanfar, H A ^c   Naderi, Mohammad S ^d  

^a UNIVERSITY OF MOHAGHEGH ARDABILI   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Multi objective; Multi machine systems; PSO TVAC; Pss

Indexed keywords

MULTI MACHINE POWER SYSTEM; MULTI OBJECTIVE; MULTIMACHINE SYSTEMS; MULTIPLE SYSTEMS; OPERATING CONDITION; POWER SYSTEM STABILIZER (PSS); PSO-TVAC; PSS; TIME-VARYING ACCELERATION COEFFICIENTS;

ARTIFICIAL INTELLIGENCE; ELECTRIC POWER SYSTEMS;

ALGORITHMS;

EID: 84866058881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. E.V. Larsen, D.A. Swann, "Applying power system stabilizers", Parts I-III, IEEE Trans. Power Apparatus Syst. Vol. 101, pp. 3017-3046, 1982.
2. K. R. Padiyar, "Power system dynamics, stability and control". Second Ed., 2006.
3. O. Abedinia, M. Salay Naderi, A Jalili, B. Khamenehpour, "Optimal tuning of multi-machine power system stabilizer parameters using genetic-algorithm", Proceedings of International Conference on Power System Technology, Hangzhou, China, pp. 1-6, 24-28 Octobr, 2010.
4. H. A. Shayanfar, H. Shayeghi, O. Abedinia, A. Jalili. "Design rule-base of fuzzy controller in multi-machine power system stabilizer using genetic algorithm". In: Proceedings of the international conference on artificial intelligence, July 12-14, Las Vegas, Nevada, USA, pp. 4349, 2010.
5. H.B. Duan, Wang D. B., ZHU J. Q., Huang X. H., "New development on ant colony algorithm theory and its applications". Control & Decision, Vol. 19, No. 12, pp.1321-1326, 2004.
6. G. Ma, H, Duan, S. Liu, "Improved Ant Colony algorithm for global optimal trajectory planning of UAV under complex environment", International Journal of Computer Science & Applications, Vol. 4 Issue 3, pp 57-68, 2007.
7. A. L. Barreiros, M. D. Ferreira, T. Costa-Jr., W. Barre-Jr., AP. Lopes, "A neural power system stabilizer (rained using local linear controllers in a gain-scheduling scheme". Elect Power Energy Syst Vol. 27, pp. 473-479, 2005.
8. M. Caner, N. Umurkan, S. Tokat, SV. Ustun, "Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN", Expert Systems with Applications, Vol. 34, pp. 2650-2655, 2008.
9. T. Niknam, "A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering distributed generators", Applied Energy, Vol. 88, pp. 778-788, 2011.
10. E. Larsen, D. Swann," Applying power system stabilizers", IEEE Trans. Power App. Syst., Vol. 100, No. 6, PP. 3017-3046, 1981.
11. H. Shayeghi, H. A. Shayanfar, A. Safari, R. Aghmasheh, "A robust PSSs design using PSO in a multi-machine environment", Energy Conversion and Management, Vol. 51, pp. 1656-1670, 2010.
12. AT. Al-Awami, YL. Abdel-Magid, MA. Abido "A particle-swarm based approach of power system stabilizer enhancement with unified power flow controller", Elect Power Energy Syst. Vol. 29, pp. 251-250, 2007.
13. A. M. El-Zonkoly, A. A. Khalil and N. M. Ahmied, "Optimal tuning of lead-lag and fuzzy logic power system stabilizers using particle swarm optimizatio"", Expert System with Applications, Vol. 10, pp. 1-10, 2008.
14. Y. Shi, R.C. Eberhart, "Empirical study of particle swarm optimization", In Proceeding of the Congress on Evolutionary Computation, Vol. 3, pp. 1945-1950, 1999.
15. A. Ratnaweera, S. K. Halgamuge, H. C. Watson, "Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients", IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, June 2004.
16. A. Ratnaweera, S.K. Halgamuge, H.C. Watson, "Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients", IEEE Transactions on Evolutionary Computation. Vol. 8, pp. 240-255, 2004.