Power quality enrichment in grid integrated wind energy conversion system using improvised controller based D-STATCOM

Recent research highlights a significant challenge in maintaining power quality in grid-connected wind energy systems. This challenge is further complicated by issues such as the lack of reactive power support and the high installation costs associated with power quality upkeep. To address these challenges, this study proposes an innovative solution in the form of a Genetic Improvised Fuzzy Logic PID controller based DSTATCOM. This controller not only effectively reduces overshooting but also demonstrates reduced voltage variation during dynamic conditions when compared to conventional Fuzzy Logic Control (FLC) methods. Furthermore, the Genetic Algorithm optimizes switching pulses for the Voltage Source Converter (VSC) in the Distribution Static Synchronous Compensator (DSTATCOM). The proposed model demonstrates its effectiveness by achieving a 2.06% reduction in Total Harmoni Distortion (THD). Rigorous simulations conducted in MATLAB/Simulink, and the results obtained from the proposed model highlight its potential to significantly enhance power quality in grid-connected wind energy systems.