Control of DSTATCOM Using ANN-BP Algorithm for the Grid Connected Wind Energy System

Green energy sources are implemented for the generation of power due to their substantial advantages. Wind is best among renewable options generation. Generally, wind system directly connected with network supplying power. In direct connection, there an issue managing quality (PQ) concerns such as voltage sag, swells, flickers, harmonics, etc. order enhance PQ in a conversion (WECS), peripheral compensation needed. this paper, we highlight novel control technique improve WECS by adopting Artificial Neural Network (ANN)-based Distribution Static Compensator (DSTATCOM). our proposed approach, online learning-based ANN Back Propagation (BP) model used generate gate pulses DSTATCOM, which mitigate harmonics at grid side. It modelled using MATLAB platform and total harmonic distortion (THD) compared without DSTATCOM. The source side decreased less than 5% within IEEE limits. results obtained reveal that ANN-BP superior nature.