Power quality is considered to be the major challenging one in the realization of the smart grid. So as to compensate for the issues occurring in power quality, active power filter (APFs) is mainly chosen as they are capable of filtering fast and has some active compensation. Also, load current related power quality constraint can be solved, such as unbalanced power, huge (Total harmonic distortion) THD level, and reduced power factor. For correcting the inappropriate supply of voltage and load current, the unified power quality conditioner (UPQC) and an effective integration of wind turbine are employed. A UPQC is a group of both shunt and series APF in a continuous manner having a conventional DC link capacitor. The voltage control of the DC link capacitor is significant in attaining a preferred performance on UPQC. In this paper, the UPQC with a Modified Grey Wolf Optimization (MGWO) based PI controller integrated with renewable energy like Wind turbine squirrel cage induction generator (SCIG) was implemented for the elimination of voltage and current harmonics imperfection precisely. Likewise, the Modified Grey Wolf Optimization (MGWO) was also exploited in UPQC. The performance analysis was made with UPQC, without UPQC, and with MGWO & UPQC and the simulation, outcomes are estimated and compared for the parameters THD values, load voltage and current. Also, the performance analysis was implemented in hardware prototype set-up and the results attained are depicted.

电能质量被认为是实现智能电网的主要挑战之一。为了补偿出现在电能质量中的问题，主要选择有源功率滤波器（APF），因为它们能够快速滤波并且具有一定的有源补偿。同样，可以解决与负载电流相关的电能质量约束，例如不平衡功率，巨大的（总谐波失真）THD电平和降低的功率因数。为了纠正不适当的电压和负载电流供应，采用了统一的电能质量调节器（UPQC）和风力涡轮机的有效集成。UPQC是连续的一组并联和串联APF，具有常规的DC链路电容器。直流环节电容器的电压控制对于在UPQC上获得最佳性能至关重要。在本文中，UPQC采用了基于改进的灰狼优化（MGWO）的PI控制器，并集成了可再生能源，例如风力涡轮机鼠笼式感应发电机（SCIG），以精确消除电压和电流谐波缺陷。同样，在UPQC中也使用了改进的灰狼优化（MGWO）。使用UPQC，不使用UPQC以及MGWO和UPQC进行了性能分析，并进行了仿真，估计并比较了THD值，负载电压和电流参数的结果。此外，性能分析是在硬件原型设置中实施的，并描述了获得的结果。