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Improvement of Low Frequency Oscillation Damping in Power Systems via an Adaptive Critic Based NeuroFuzzy Controller

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

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Abstract

This paper proposes an Adaptive Critic Based Neuro-Fuzzy Controller (ACBNFC) to Thyristor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The function of the ACBNFC is to control a firing angle of the TCSC. The proposed method is used for damping the low frequency oscillations caused by disturbances such as a sudden change of small or large loads or an outage in the generators or transmission lines. To evaluate the usefulness of the proposed method, the computer simulation for single machine infinite system is performed and compared with fuzzy PD controller. Obtained results show the proposed control strategy is very robust, flexible and could be used to get the desired performance levels. The response time is also very fast. Simulation results that have been compared with fuzzy PD controller show that our method has the better control performance than fuzzy PD controller.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Rashidi, F., Moshiri, B. (2004). Improvement of Low Frequency Oscillation Damping in Power Systems via an Adaptive Critic Based NeuroFuzzy Controller. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_75

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_75

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

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