voltage sag reduction by anfis in wind turbine generation units

The power quality (pq) issue refers to the occurrence of irregular voltage, current, or frequency that leads to failure or incorrect functioning of equipment used by end users. the pq meter is utilized to monitor a diverse range of power supply characteristics, all of which possess the capacity to impact the effectiveness of both operational procedures and machinery. the dynamic voltage restorer (dvr) performs the role of a specialized power device employed to mitigate the voltage drop experienced at the terminal of a sensitive load. dvr can be controlled by various control designs. this work conducts a comparative analysis on a normally managed voltage system and a medium-power dvr controlled by a neural network (nn), fuzzy logic (fl), or adaptive neuro-fuzzy inference system (anfis) by utilizing an output voltage regulator. the identification and rapid compensation of voltage perturbations, such as voltage sag, are essential elements in monitoring and controlling dvrs. the conventional pi controller is commonly employed in regulating dvrs. while the traditional controller possesses certain merits, it is not free of limitations. one such downside pertains to its utilization of constant gains, which can impede its capability to provide optimal control performance in instances where system parameters undergo fluctuations. possible solutions have been proposed to effectively tackle this issue, such as the use of nns, fl, or anfis controllers. furthermore, to attain both rapid dynamic response and robustness, a modified d-q converted three-phase voltage regulator was adopted. instead of employing a conventional three-phase regulator, this particular regulator is operated by means of an nn, fl, anfis, or pi controller. the suggested voltage regulator offers a prompt solution for rectifying voltage irregularities, such as voltage sag, by promptly restoring the voltage to the nominal magnitude. the primary source of power adopted in this study is a wind turbine unit.