Self-tuning power system stabilizer design based on pole-assignment and pole-shifting techniques

Journal of Applied Sciences

Volumn 8, Issue 8, 2008, Pages 1406-1415

  Ataei, M ^a   Hooshmand, R ^a   Parastegari, M ^a  

^a UNIVERSITY OF ISFAHAN   (Iran)

Author keywords

PID stabilizer; Pole assignment; Pole shifting; Power system stabilizer (PSS); Self tuning regulator (STR)

Indexed keywords

CONTROL THEORY; ENERGY TRANSFER; POLES; PROPORTIONAL CONTROL SYSTEMS; REACTIVE POWER;

ACTIVE AND REACTIVE POWER; CONTROLLER COEFFICIENT; ITAE PERFORMANCE INDEX; POLE ASSIGNMENT; POLE-SHIFTING; POWER SYSTEM STABILIZER; POWER SYSTEM STABILIZER (PSS); SELF TUNING REGULATORS;

DESIGN;

EID: 42149144294     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2008.1406.1415     Document Type: Article

References (18)

1. Abdelazim, T. and O.P. Malik, 2003. Fuzzy logic based identifier and pole-shifting controller for PSS application. Power Engineering Society General Meeting, 3: 1680-1685.
2. Ardanuy, J.F. and P. Zufiria, 2005. Adaptive power system stabilizer using ANFIS and genetic algorithms. International Journal Soft Computing-A Fusion of Foundations, Methodologies and Applications, 11 (2): 1124-1131.
3. Ardanuy, U. and P. Zufiria, 2007. Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and geneti algorithms. J. Neurocomput, 70 (16-18): 2902-2912.
4. Astrom, K., 1980. Robustness of a design method based on assignment of poles and zeros. IEEE Trans. Automatic Control, 25 (3): 588-591.
5. Astrom, K. and B. Wittenmark 1997. Computer Controlled System. 3rd Edn. Prentice Hall.
6. Buamud M.S. and A.R. Shamekh, 2002. A comparative study between the performance of the fixed gain PID and the adaptive self-tuning power system stabilizers. In: Proceedings IEEE Power System Technology Conference, 2: 1233-1238.
7. Chaturvedi, D.K., O.P. Malik and P.K.. Kalra, 2004. Performance of a generalized neuron based PSS in a multi-machine power system. IEEE. Trans. Energy Convers., 19 (3): 625-632.
8. Chaturvedi, D.K. and O.P. Malik, 2007. Experimental studies of a generalized neuron based adaptive power system stabilizer. J. Springer Soft Comput., 11: 149-155.
9. Gillard, D.M. and K.E. Bollinger, 1996. Neural network identification of power system stabilizer functions. IEEE. Trans. Energy Cmvers., 11 (1): 104-111.
10. Hassan, M.A.M. and O.P. Malik 1993. Implementation and laboratory test results for a fuzzy logic based self-tuned power system stabilizer. IEEE. Trans. Energy Convers., 8 (21): 221-229.
11. Kothari, M.L., K. Bliattacharya. and J. Nanda, 1993. Adaptive enhancement of synchronous generator stabilizer performance by including the external utility system dynamics. Industry Applications Society Annual Meeting, pp: 1401-1408.
12. Kothari, M.L., K. Bbattacharya and J. Nanda, 1996. Adaptive power system stabiliSer based on pole-shifting technique. In: Proceedings of IEE-Generation, Transmission and Distribution Conference, 143: 96-98.
13. Motoki, H., A. Yokoyama, H. Kawakami and K. Kawasaki, 2002. Experimental study on power system damping enhancement by multiple digital adaptive PSS's using analog-type real-time power system simulator. IEEE International Conference Power System Technology, 2: 808-812.
14. Murdoch A., S. Vencataraman, R.A. Lawson and W.R. Pearson, 1999. Integral of accelerating power type PSS Part 1 theory, design and tuning methodology. IEEE. Trans. Energy Convers., 14 (4): 1658-1662.
15. Segal, R., M.L. Kothari and S. Madnani, 2000. Radial basis function (RBF) network adaptive power system stabilizer. IEEE. Trans. Power Syst., 15 (2): 722-727.
16. Sharma, A. and M.L. Kothai, 2003. Intelligent dual input power system stabilizer. Electric Power Syst. Res., 64: 257-267.
17. Tavares, C., Jr. da Costa, J.A.L. Barreiros, R.C.L. de Oliveira and C.T.L. Pedreira, 2002. Generalized predictive power system stabilizer with fuzzy supervision from a local mode network. In: Proceedings Power System Technology Conference, 2: 1-4.
18. Yu, Y.N., 1983. Electric Power System Dynamic. Academic Press.