Autotuning Power System Stabilizer based on Fuzzy Plant Model

The paper presents a newly proposed autotuning power system stabilizer (PSS) based on a Takagi- Sugeno (TS) fuzzy model. The main advantage of the proposed PSS is in a stable regulation structure without the critical parts such as on-line identification and feedback gain calculations in real-time. Additionally, the proposed algorithm can be implemented both in floating-point and in fixed-point microprocessor platforms. The simulation results presented in the paper show that the proposed PSS effectively damps active power oscillations and that the commissioning process can be performed with no need for expert knowledge from the commissioning staff.

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