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An adaptive fuzzy controller gain scheduling for power system load-frequency control

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3 Author(s)
M. Masiala ; Dept. of Electr. Eng., Moncton Univ., NB, Canada ; M. Ghribi ; A. Kaddouri

In this paper, an adaptive fuzzy controller gain scheduling scheme for power system load-frequency control is designed to damp the frequency oscillations and to track its error to zero at steady state. A Sugeno type inference system is used in the proposed controller to adapt the scaling gains of a single fuzzy controller through a classical on-line monitoring of the most sensitive parameters of the system. The proposed controller avoids excessive patterns and training time compared to neural network based adaptive schemes. A typical single-area non reheat power system is considered. Simulation results indicate that the proposed controller is insensitive to parameter changes in a wide range of operating condition, and to the generation rate constraints. Furthermore, it is simple to implement.

Published in:

Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

8-10 Dec. 2004