Abstract
The paper considers simultaneous placement and tuning of power system stabilizers for stabilization of power systems over a wide range of operating conditions using genetic algorithm. The power system operating at various conditions is considered as a finite set of plants. The problem of setting parameters of power system stabilizers is converted as a simple optimization problem that is solved by a genetic algorithm and an eigenvalue-based objective function. A single machine -infinite bus system and a multi-machine system are considered to test the suggested technique. The optimum placement and tuning of parameters of PSSs are done simultaneously. A PSS tuned using this procedure is robust at different operating conditions and structure changes of the system.
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References
Adbennour, A.B., Lee, K.: A Decentralized Controller Design For a Power Plant Using Robust Local Controllers And Functional Mapping. IEEE T-Energy Conversion 11(2), 394–400 (1996)
Goldberg, D.E.: Genetic Algorithm in Search, Optimisation And Machine Learning. Addison-Wesely, Reading (1989)
Goldberg, D.E.: Genetic Algorithms in Search optimization and Machine Learning. Assison-Wesley Publishing Company, Inc., Reading (1991)
Zhou, E.Z., Malik, O.P., Hope, G.S.: Theory And Method For Selection Of Power System Stabiliser Location. IEEE T-Energy Conversion 6(1), 101–109 (1991)
Zhou, E.Z., Malik, O.P., Hope, G.S.: Design Of Stabiliser For A multimachine Power System Based On Sensitivity Of PSS Effect. IEEE T-Energy Conversion 6(1), 606–612 (1992)
Demello, F.P., Hannett, L.N., Undrill, J.M.: Practical Approach To Supplementary Stabilising From Accelerating Power. IEEE Transaction PAS97, 1515–1522 (1978)
Grefenstette, J.: Optimisation Of Control Parameters For Genetic Algorithm. IEEE Trans. SMC16(1), 122–128 (1986)
Schmitendorf, W.E., Benson, R.W., Shaw, O., Forrest, S.: Using Genetic Algorithm For Controller Design. In: Proceedings Of AIAA Conference on the Guidance, Navigation and Control, Hilton Head Island, South Carolina, August 1992, pp. 757–761 (1992)
Yu, Y.N.: Electric Power System Dynamics. Academic Press, London (1983)
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© 2004 Springer-Verlag Berlin Heidelberg
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Rashidi, F., Rashidi, M. (2004). Tuning of Power System Stabilizers via Genetic Algorithm for Stabilization of Power Systems. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_124
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DOI: https://doi.org/10.1007/978-3-540-24677-0_124
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22007-7
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