Power system stabilizer based on fuzzy logic

In this thesis, the development of a fuzzy logic based power system stabilizer (FLPSS) is described. The FLPSS is responsible for maintaining the power system stability and enhancing the closed loop performance.;The FLC structure, design, and sensitivity is investigated. An automatic Parameters tuning algorithm is proposed to tune the FLC parameters in order to achieve the desired performance. Two new rule generation methods are proposed to automatically generate the fuzzy rule set from a sampled data set.;An interactive simulation fuzzy logic design tool (FDT) is developed using C++/C programing languages. The FDT facilitates the understanding and the design of the fuzzy logic controllers.;Simulation studies and comparison between the FLPSS and the conventional power system stabilizer (CPSS) using a single machine model connected to an infinite bus are conducted. For further verification, the FLPSS has been applied to a multi-machine model of the power system. The performance of the FLPSS is satisfactory and is discussed.;The FLPSS has also been implemented using a low cost Intel 8051FA micro controller and tested on an experimental physical power system laboratory set up to model a simple power system of one machine connected to the infinite bus through a double circuit transmission line. The 8051FA micro-controller based FLPSS handles at the same time the data acquisition system and the fuzzy logic control algorithm. Experimental tests and results are fully discussed.