Browse > Article
http://dx.doi.org/10.5370/JEET.2007.2.2.178

Real-Coded Genetic Algorithm Based Design and Analysis of an Auto-Tuning Fuzzy Logic PSS  

Hooshmand, Rahmat-Allah (Dept. of Electrical Engineering, The University of Isfahan)
Ataei, Mohammad (Dept. of Electrical Engineering, The University of Isfahan)
Publication Information
Journal of Electrical Engineering and Technology / v.2, no.2, 2007 , pp. 178-187 More about this Journal
Abstract
One important issue in power systems is dynamic instability due to loosing balance relation between electrical generation and a varying load demand that justifies the necessity of stabilization. Moreover, Power System Stabilizer (PSS) must have capability of producing appropriate stabilizing signals over a wide range of operating conditions and disturbances. To overcome these drawbacks, this paper proposes a new method for robust design of PSS by using an auto-tuning fuzzy control in combination with Real-Coded Genetic Algorithm (RCGA). This method includes two fuzzy controllers; internal fuzzy controller and supervisor fuzzy controller. The supervisor controller tunes the internal one by on-line applying of nonlinear scaling factors to inputs and outputs. The RCGA-based method is used for off-line training of this supervisor controller. The proposed PSS is tested in three operational conditions; nominal load, heavy load, and in the case of fault occurrence in transmission line. The simulation results are provided to compare the proposed PSS with conventional fuzzy PSS and conventional PSS. By evaluating the simulation results, it is shown that the performance and robustness of proposed PSS in different operating conditions is more acceptable
Keywords
Auto-Tuning Fuzzy Controller; Dynamic Stability; Power System Stabilizer; Real Coded Genetic Algorithm;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Abido, A.A., 'Particle Swarm Optimization for Multimachine Power System Stabilizer Design', IEEE Power Engineering Society Summer Meeting 2001, vol. 3, pp. 1346-1351, 15-19 July 2001
2 Abido, M.A., Abdel-Magid, Y.L., 'Robust Design of Electrical Power-Based Stabilizers Using Tabu Search', IEEE Power Engineering Society Summer Meeting 2001, vol. 3, pp. 1573-1578, 15-19 July 2001
3 Andreoiu, A., Bhattacharya, K., 'Lyapunov's method based genetic algorithm for multi-machine PSS tuning', IEEE Power Engineering Society Winter Meeting 2002, vol. 2, pp. 1495-1500, 27-31 Jan. 2002
4 Eshelman L., Schaffer J. Real-coded Genetic Algorithms and Interval-schemata, in L. Whitely, editor, Foundations of Genetic Algorithms, vol. 2, pp. 187- 202, Morgan Kaufmann Publishers, San Francisco, 1993
5 Young-Moon Park; Un-Chul Moon; Lee, K.Y.; A Self-Organizing Power System Stabilizer using Fuzzy Auto-Regressive Moving Average (FARMA) Model, IEEE Trans. on Energy Conversion, vol. 11, no. 2, pp.442-448, June 1996   DOI   ScienceOn
6 Akhrif, O., Okou, F.A., Dessaint, L.A., Champagne, R., 'Application of a Multivariable Feedback Linearization Scheme for Rotor Angle Stability and Voltage Regulation of Power Systems', IEEE Trans. on Power Systems, vol. 14, no. 2, pp. 620-628, May 1999   DOI   ScienceOn
7 Chaturvedi, D.K., Malik, O.P., Kalra, P.K., 'Generalised Neuron-Based Adaptive Power System Stabiliser', IEE Proceedings- Generation, Transmission and Distribution, vol. 151, no. 2, pp. 213-218, 2 March 2004
8 Ruhua You, Eghbali, H.J., Nehrir, M.H., 'An Online Adaptive Neuro-Fuzzy Power System Stabilizer for Multi machine Systems', IEEE Trans. on Power Systems, vol. 18, no. 1, pp. 128-135, Feb. 2003   DOI   ScienceOn
9 Hosseinzadeh, N., Kalam, A., 'A Direct Adaptive Fuzzy Power System Stabilizer', IEEE Trans. on Energy Conversion, vol. 14, no. 4, pp. 1564-1571, Dec. 1999   DOI   ScienceOn
10 Soos, A., Malik, O.P., 'An $H_2$ Optimal Adaptive Power System Stabilizer', IEEE Tran. on Energy Conversion, vol. 17, no. 1, pp. 143-149, March 2002   DOI   ScienceOn
11 Hiyama, T., Miyazaki, K., Satoh, H., 'A Fuzzy Logic Excitation System for Stability Enhancement of Power Systems With Multi-mode Oscillations', IEEE Trans. on Energy Conversion, vol. 11, no. 2, pp. 449- 454, June 1996   DOI   ScienceOn
12 Shijie Cheng, Rujing Zhou, Lin Guan, 'An On-line Self-learning Power System Stabilizer Using a Neural Network Method', IEEE Trans. on Power Systems, vol. 12, no. 2, pp. 926-931, May 1997   DOI   ScienceOn
13 Hui Ni; Heydt, G.T., Mili, L., 'Power System Stability Agents Using Robust Wide Area Control' IEEE Trans. on Power Systems, vol. 17, no. 4, pp. 1123- 1131, Nov. 2002   DOI   ScienceOn
14 Yadaiah, N., Babu, C.V.S.R.K., Bhattacharya, J.L., 'Fuzzy Logic Controllers - An Application to Power Systems', IEEE International Workshop on Soft Computing in Industrial Applications, SMCia/03, pp.1-6, 23-25 June 2003
15 Dobrescu, M., Kamwa, I., 'A New Fuzzy Logic Power System Stabilizer Performances', IEEE PES, Power Systems Conference and Exposition, vol. 2, pp. 1056-1061, 10-13 Oct. 2004
16 Anderson, P.M., Fouad, A.A., Power System Control and Stability, Iowa State Univ. Press, Ames, Iowa, USA, 1977
17 Yu, Y.N., Electric Power System Dynamics, Academic Press, 1983
18 Kundur, P., Power System Stability and Control, McGraw-Hill Inc., USA, 1994
19 Fraile-Ardanuy, J., Zufiria, P.J., 'Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms', 44th IEEE Conference on Decision and Control, European Control Conference, CDC-ECC '05, pp. 8028-8033, 12-15 Dec. 2005
20 Andreoiu, A., Bhattacharya, K., 'Robust Tuning of Power System Stabilisers Using a Lyapunov Method Based Genetic Algorithm', IEE Proceedings- Generation, Transmission and Distribution, vol. 149, no. 5, pp. 585-592, Sept. 2002   DOI   ScienceOn
21 Folly, K.A., 'Multimachine Power System Stabilizer Design Based on a Simplified Version of Genetic Algorithms Combined With Learning', Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems 2005, pp. 240- 246, 6-10 Nov. 2005
22 Nallathambi, N., Neelakantan, P.N., 'Fuzzy Logic Based Power System Stabilizer', E-Tech, pp. 68-73, 31 July 2004