Power System Stabilization by a Coordinated Application of Power System Stabilizers using Hierarchical Neuro-Fuzzy Logic

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Published Mar 31, 2010
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Volume 6, Issue 1, March 2010

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N. Albert Singh
Research Scholar, CET, University of Kerala, Trivandrum
K. A. Muraleedharan
Professor, N. I. College of Engineering, Kumaracoil, Tamil Nadu
K. Gomathi
Professor, N. I. College of Engineering, Kumaracoil, Tamil Nadu

Abstract

Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp the low frequency power system oscillations. To overcome the drawbacks of conventional PSS (CPSS), numerous techniques have been proposed in the literature. Based on the analysis of existing techniques, this paper presents the stabilization of multi-machine power system based on coordinated Adaptive Hierarchical Neuro-Fuzzy network based power system stabilizer (AHNFPSS) design. The proposed system consists of a Hierarchical neuro fuzzy controller, which is used to generate a supplementary control signal to the excitation system. The proposed method has the features of a simple structure, adaptivity and fast response. The proposed controller is evaluated on a multi-machine power system under different operating conditions and disturbances to demonstrate its effectiveness and robustness. Eigenvalue analysis shows that the undamped modes are sensitive to excitation control while speed governors have little influence on damping.

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How to Cite
Albert Singh, N., Muraleedharan, K. A., & Gomathi, K. (2010). Power System Stabilization by a Coordinated Application of Power System Stabilizers using Hierarchical Neuro-Fuzzy Logic. Power Research - A Journal of CPRI, 5–14. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/680

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