Application of fuzzy algorithms to stability control of power systems

Matsuki, Junya; Okada, Takao

doi:10.1109/iecon.1991.239093

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…These facts seem to call for a robust controller. There have been some efforts to design robust nonlinear power system stabilizers, for example model reference adaptive controllers [2], [3], sliding mode controllers [4], [5], neural net controllers [6] and fuzzy controllers [7], [8], [9]. Two of the papers cited above require state feedback ([2], [4]) while the others allow for output feedback.…”

Section: Introductionmentioning

confidence: 99%

A comparison of nonlinear controllers on a single generator-infinite bus power system

Falkner

Heck

Proceedings of 1995 American Control Conference - ACC'95

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This article explores the use of nonlinear output feedback control schemes as power system stabilizers (PSS). We apply five different control schemes to a single generator-infinite bus power system in order to compare their behavior. Specifically, we are interested in the controllers' ability to handle disturbances (model inaccuracies, measurement noise, etc). The control methods used are fuzzy control, sliding mode control, two Lyapunov-based robust control methods and a standard linear PSS. It is found that the linear robust and fuzzy controllers had the best overall behavior.

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