Design and analysis of fuzzy power system stabilizer

Roosta, Alireza; Khorsand, H.; Nayeripour, Majid

doi:10.1109/isgteurope.2010.5638925

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…The theory of fuzzy sets has been around since 1965 when first proposed by Prof. Zadeh. Due to its simplicity and its excellent control of linear and nonlinear devices, a fuzzy logic has been found as a widespread tool for engineers in many facets of everyday life (Nallathambi and Neelakantan, 2004;Rajabi et al, 2010;Roosta et al, 2010;Shah Majid et al, 2002).…”

Section: Power System Stabilizer Based On Fuzzy Logicmentioning

confidence: 99%

Comparing the Power System Stabilizer Based on Sliding Mode Control with the Fuzzy Power System Stabilizer for Single Machine Infinite Bus System (SMIB)

Kolabi¹,

Eidiani²

2013

RJASET

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This paper compares the power system stabilizer based on sliding mode control with the fuzzy power system stabilizer for single machine infinite bus system (SMIB). Using the sliding mode control, a range is obtained for the changes in system parameters; and a stabilizer is designed to have a proper performance in this wide range. The purpose of designing the sliding mode stabilizer and fuzzy stabilizer is the increased stability and improving the dynamic response of the single machine system connected to the infinite bus in different working conditions. In this paper, simulation results are compared in case of conventional PSS, no PSS, PSS based on sliding mode control and PSS based fuzzy logic. The results of simulations performed on the model of nonlinear system shows good performance of sliding mode controller and the Fuzzy controller. SMIB system was selected because of its simple structure, which is very useful in understanding the effects and implications of the PSS.

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Section: Power System Stabilizer Based On Fuzzy Logicmentioning

confidence: 99%