Comparative Analysis of Sliding Mode Control , Artificial Neural Network and Fuzzy Logic controlled based IDVR for Power System Stability

Abstract

A paper deals with a comparative analysis of sliding mode controller (SMC), Artificial Neural Network (ANN) and Fuzzy Logic Controlled based Interline Dynamic Voltage Restorer (IDVR) for power system stability. The main objectives of this paper are to improve the voltage quality in multiline distribution system, to reduce THD and improve the finite time stability of the closed loop system. The IDVR is combination of the two DVRs which can improve the voltage of weaker line. The closed loop Fuzzy, ANN & SMC controlled based IDVR are designed and simulated using MATLAB. The phase shift pulse width modulation technique is providing firing pulse to voltage source inverter. The response of closed loop SMC based IDVR in terms of rise time, settling time and THD is compared with ANN, and Fuzzy controlled based IDVR. The results shown that SMC controlled IDVR are much better then Fuzzy & ANN controlled IDVR with faster response and lesser THD