Voltage stability improver of intelligent algorithm based sliding mode control

Voltage stability improver is commonly used to carry the voltage to nominal values in case of a voltage drop. For this reason, the effective control of the voltage stability improvers becomes prominent for a rapid and effective intervention in the system. SVC is one of the important voltage stability improvers. Various techniques such as linearisation, fuzzy logic, artificial neural networks are used to control the SVC. SVC has thyristors within its structure. SVC is controlled by taking the thyristors into transmission. Because of that, SVC control with switches bears an inevitable significance.In this thesis study, state space model is first obtained by linearising the non-linear SVC system by Taylor Series expansion in various points and closed loop control is carried out with PID. Later, by choosing a reference point, an on-line control is realised for the testing system with the algorithm developed for the Acermann pole arrangement method. The control of the system is realised by ANN modeling for the on-line control to perform the algorithmic calculations faster. First, an SMC mathematical model is achieved for the control of the 2-bus testing system with SMC. With the usage of this model, SMC achievements are shown in Matlab-Simulink. SMC coefficients are obtained by the GA algorithm for the SMC achievements to perform more efficiently. GASMC achievements are obtained by using these coefficients and compared to the achievements of SMC and PI controllers. Also, the achievement simulation outcomes are given by getting the GASMC mathematical model of an N-bus system.