TITLE:
Load Frequency Control of Small Hydropower Plants Using One-Input Fuzzy PI Controller with Linear and Non-Linear Plant Model
AUTHORS:
Derek Ajesam Asoh, Edwin Nyuysever Mbinkar, Albert Nouck Moutlen
KEYWORDS:
Small Hydropower Plant, Linear and Non-Linear Model, Load Frequency Control, Non-Linear Control, Fuzzy Logic Controller, Renewable Energy
JOURNAL NAME:
Smart Grid and Renewable Energy,
Vol.13 No.1,
January
28,
2022
ABSTRACT: 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.