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https://doi.org/10.1016/0196-8904(95)00353-3

has been cited by the following article:

• 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.