This study presents an intelligent approach for load frequency control
(LFC) of small hydropower plants (SHPs). The approach which is based on fuzzy
logic (FL), takes into account the non-linearity of SHPs—something which is not
possible using traditional controllers. Most intelligent methods use two-input fuzzy controllers, but
because such controllers are expensive, there is economic interest in the relatively cheaper single-input controllers. A non-linear control model based
on one-input fuzzy logic PI (FLPI) controller was developed and applied to control
the non-linear SHP. Using MATLAB/Si- mulink SimScape, the SHP was simulated with linear and non-linear plant
models. The performance of the FLPI controller was investigated and compared
with that of the conventional PI/PID controller. Results show that the settling
time for the FLPI controller is about 8 times shorter; while the overshoot is
about 15 times smaller compared to the conventional PI/PID controller.
Therefore, the FLPI controller performs better than the conventional PI/PID
controller not only in meeting the LFC control objective but also in ensuring
increased dynamic stability of SHPs.
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