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IWANN
2005
Springer

Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms

9 years 9 months ago
Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms
— This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Fuzzy Inference System (ANFIS) and Genetic Algorithms (GAs). Firstly, genetic algorithms are used to tune a conventional PSS on a wide range of operating conditions and then, the relationship between these operating points and the PSS parameters is learned by the ANFIS. The ANFIS optimally selectes the classical PSS parameters based on machine loading conditions. The proposed stabilizer has been tested by performing nonlinear simulations using a synchronous machine-infinite bus model. The results show the robustness and the capability of the stabilizer to enhance system damping over a wide range of operating conditions and system parameter variations.
Jesús Fraile-Ardanuy, Pedro J. Zufiria
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where IWANN
Authors Jesús Fraile-Ardanuy, Pedro J. Zufiria
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