Fuzzy Logic Based Identifier for Power System Stabilizer Application

Abstract Identification of a synchronous machine model on-line using a Takagi-Sugeno (TS) fuzzy system is presented in this paper. A TS fuzzy system is trained incrementally each time step and is used to predict one-step ahead system output. Ability of the proposed identifier to capture the nonlinear operating conditions is illustrated. The effectiveness of the proposed identification technique is demonstrated by simulation studies on a power system.

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