Improvement of Power Quality using Advanced Artificial Neural Network Algorithm

In the present scenario of power system network, active filter are being designed using advanced technology for compensating harmonics and reactive power for better quality of power supply. The present paper implements a Shunt Hybrid Active Filter (SHAF), necessary for reactive power compensation in the nonlinear load and suppresses harmonics for improving the power quality (PQ) in the distribution network. In this work, an adaptive linear neuron (Adaline) based variable step size leaky least mean square (VSSLLMS) control approach is applied for extracting harmonics. This competent approach is needed for generating the gating pulses essential for IGBT inverter and increasing the performance compared to the conventional Adaline-LMS controller. The proposed controller provides faster convergence and also provides better performance compared to conventional one. Simulation results show the significant improvement in Adaline-VSSLLMS approach compared to Adaline-LMS approach. The simulations of the proposed controller and system is done using MATLAB/ SIMULINK under different load conditions.