ENHANCEMENT OF POWER AND STABILITY OF HVDC TRANSMISSION SYSTEM BY USING INTELLIGENT CONTROLLERS

Abstract

A traditional approach to controlling high voltage direct current (HVDC) transmission systems is to use proportional (P) and integral (I) controllers with xed gains of Kp and Ki, respectively. Although such controllers are robust and simple, they have a number of drawbacks. They are difcult to optimize in order to provide the highest overall performance under all scenarios. Among the many control approaches currently in use in the eld of intelligent controllers of the HVDC systems such as fuzzy logic control and articial neural network based control are the two most widely employed. As the name implies, neuro-fuzzy systems combine articial neural networks (ANNs) with fuzzy logic into a single system. An intelligent control technique combination has the goal of combining the advantages of both intelligent control approaches while shunting out their respective shortcomings. The CIGRÉ model, as one of the conventional methods, has been studied, and new complementary characteristics have been added in order to improve its power capability and stability during disturbances in high voltage transmission systems, as well as to increase the efciency of the proposed model. These results were analyzed by using MATLAB/Simuli