Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30685
Genetic Algorithm Based Design of Fuzzy Logic Power System Stabilizers in Multimachine Power System

Authors: Manisha Dubey, Aalok Dubey

Abstract:

This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design of fuzzy logic power system stabilizer will add an intelligent dimension to the stabilizer and significantly reduces computational time in the design process. It is shown in this paper that the system dynamic performance can be improved significantly by incorporating a genetic-based searching mechanism. To demonstrate the robustness of the genetic based fuzzy logic power system stabilizer (GFLPSS), simulation studies on multimachine system subjected to small perturbation and three-phase fault have been carried out. Simulation results show the superiority and robustness of GA based power system stabilizer as compare to conventionally tuned controller to enhance system dynamic performance over a wide range of operating conditions.

Keywords: Genetic Algorithms, dynamic stability, Fuzzy logic power systemstabilizer, Genetic based power systemstabilizer

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077082

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2339

References:


[1] F.P. Demello and C. Concordia, "Concept of synchronous machine stability as affected by excitation control", IEEE Transactions on Power Apparatus and System, Vol. 88, 1969, pp 316-329.
[2] E.V. Larsen and D.A. Swann, " Applying Power System Stabilizers", Part I-III", IEEE Trans, PAS Vol. 100, No 6, 1981, pp 3017-3046.
[3] P. Kundur, "Power System Stability and Control", McGraw Hill Inc. 1993.
[4] Y.N. Yu, "Electric Power System Dynamics, Academic Press", 1983.
[5] D. E. Goldberg, "Genetic Algorithms in Search, Optimization, and Machine Learning", Addison-Wesley publishing Company Inc., January 1989.
[6] P. Kundur, M. Klein, G.J Rogers and M.S Zywno, "Applications of Power System Stabilizers for Enhancement of overall system stability", IEEE Transaction PAS, Vol -4, No-2, May 1989, pp. 614-626.
[7] Y. Zhang, G.P. Chen, O.P. Malik and G.S. Hope, "An artificial neural based adaptive power system stabilizer ", IEEE Transactions on Energy Conversion, Vol.8,No.1, March 1993, pp.71-77.
[8] Y. Y. Hsu and C. H. Cheng, " Design of fuzzy power system stabilizers for multimachine power systems", IEE Proceedings on Generation Transmission Distrib, Vol.137, Part-C, No.3, May 1990,pp. 233-238.
[9] Hamid A. Toliyat, Javed Sadeh, Reza Ghazi, " Design of Augmented Fuzzy Logic Power System Stabilizer", IEEE Transactions on Energy Conversion, Vol. 11., No.1, March 1996,pp.97-103.
[10] K.A. El- Metwally and O. P. Malik, " Application of fuzzy logic stabilizers in a multimachine power system environment", IEE Proceedings on Generation Transmission Distribution, Vol.143, Part-C, No.3, May 1996,pp.263-268.
[11] M. A. Abido and Y.L. Abdel-Magid, " Tuning of a fuzzy logic power system stabilizer using genetic algorithms", 4th IEEE International Conference on Evolutionary Computation ICEC 1997, pp.595-599.
[12] M. A. Abido and Y.L. Abdel-Magid, " A genetic based fuzzy logic power system stabilizer for multimachine power systems", 4th IEEE International Conference on Evolutionary Computation ICEC 1997, pp.329-334.
[13] M.A.Abido and Y.L.Abdel-Magid, "Hybridizing rule-based power system stabilizers with genetic algorithms", IEEE Transactions on Power Systems, Vol.14, May 1999,pp. 600-607.
[14] P.Lakshmi and M. Abdullah Khan," Stability Enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm", Electric Power and Energy Systems, 22,2000,pp. 130-145.
[15] Manisha Dubey and P. Gupta, " Design of Genetic-Algorithm based robust power system stabilizer", International Journal of Computational Intelligence", Vol. 2, No. 1, 2005,pp.48-52.
[16] Manisha Dubey, A. Sharma, G. Agnihotri and Pankaj Gupta, " Optimal tuning of parameters of fuzzy logic power system stabilizer, " WSEAS Transactions on Systems", Issue 3, Vol.4, March 2005, pp.225- 232.
[17] Manisha Dubey, "Genetic Algorithm based Tuning of Fuzzy Logic Damping Controller for Multimachine Power System",2nd Indian International Conference on Artificial Intelligence-IICAI-05, ,December 20-22, pp.5-15 at NIA, Pune.
[18] Manisha Dubey, Nikos E. Mastorakis "Design of Genetic Algorithm based Damping Controller", IASME International Conference on energy & Environmental Systems (EE06) Chalkida, Evia Island, Greece, May 8- 13 2006, pp.132-138.
[19] Manisha Dubey, " Design of Genetic Algorithm based Power System Stabilizers in Multimachine Power System" International conference on Soft Computing & Intelligent System at Jabalpur Engineering College, Jabalpur ,ICSCIS-07,December 27-29,2007, pp. 214-219.
[20] Manisha Dubey, "Design of Genetic Algorithm Based Fuzzy Logic Power System Stabilizers in Multi-machine Power System" Published in IEEE POWERCON 2008 & 2008 IEEE Power India Conference (POWERCON), 978-1-4244-1762-9/08/$25.00 ┬®2008 IEEE , October 12-15,2008 at New Delhi, INDIA.
[21] "Power System Toolbox Version 2.0", Cherry Tree Scientific Software- PR # 5 Colborne Ontario KOK ISO Canada, 1999.