Técnica de controle de TCSC baseada em inferência Fuzzy para aprimorar respostas dinâmicas do sistema de potência

Abstract

The expansion of the transmission network has been taking place significantly in recent years. Aiming to maximize the load flow, stability, power quality in transmission lines, and in the entire power system, FACTS devices begin to be employed. These devices work to maintain the nominal electrical parameters in addition to help the system to recover its steady state after a disturbance or even a collapse. Thyristor Controlled Series Compensator (TCSC) is a type of FACTS devices and is able to change the line impedance improving power flow as well as contributing to system stability. Many studies have been carried out, and researches have been published, to define the best TCSC control techniques, some of which are already in use. Due to the great diversity of control techniques, finding the most appropriate method to be used in a given system is a non-trivial task. The present dissertation will bring two published techniques to control TCSC based on the lead-lag model, whose parameters are defined through metaheuristic techniques such as Genetic Algorithm and Particle Swarm. The results found in these publications will be simulated in a Matlab/Simulink environment and confronted with the Fuzzy logic application written with linguistic inference, simplified rules and simple membership functions. Three scenarios, with different faults, will be proposed and the simulations result and variables will be compared as angular velocity, angular displacement, electrical power and network equivalent impedance. The two published models and the proposed fuzzy logic will achieve stability with very similar results in all simulations. The big advantage in the use of Fuzzy logic is in its modeling simplicity, unlike the heuristic techniques that require much more modeling time and sometimes long iterations to achieve acceptable parameters.