In day-to-day life, solar panel is widely being used in electric power production notably solar PV fed smart grid system has been exaggerating as it is facile for domestic as well as industrial applications. In this proposed system, a highly competent SEPIC converter is utilized to boost the utilization of PV array with uninterrupted flow of current. By utilizing PI controller, the retrieved maximum power is monitored continuously to minimize the ripples in the DC voltage. The PI controller parameters are varied by grey wolf optimization (GWO) to exaggerate the dynamic performance of the proposed converter and to retrieve a steady state DC-link voltage from the output of converter. The retrieved steady state DC voltage is fed to 1Ф utility grid through voltage source inverter. Further a simple PI controller is utilized to synchronize the output of inverter and grid. By comparing with various optimization approach, P&O, Fuzzy, IC, and Neuro fuzzy technique are analyzed and obtained the result; from this the proposed GWO algorithm improved the efficiency. The proposed method achieves the 98.5% of efficiency. The entire system performance is measured by determining the harmonic content in grid current and the MATLAB Simulink model of the system is verified by developing hardware prototype.

在日常生活中，太阳能电池板已广泛用于电力生产中，特别是太阳能光伏馈电智能电网系统已经夸张了，因为它适用于家庭和工业应用。在这个提出的系统中，使用了高性能的SEPIC转换器，以在不中断电流的情况下提高PV阵列的利用率。通过使用PI控制器，对取回的最大功率进行连续监控，以最大程度地减小直流电压中的纹波。PI控制器参数通过灰狼优化（GWO）进行更改，以夸大所提出转换器的动态性能，并从转换器的输出中获取稳态的直流母线电压。检索到的稳态直流电压通过电压源逆变器馈送到1Ф公用电网。此外，使用简单的PI控制器来同步逆变器和电网的输出。通过与各种优化方法的比较，分析了P＆O，Fuzzy，IC和Neuro Fuzzy技术并获得了结果。由此，提出的GWO算法提高了效率。所提出的方法实现了98.5％的效率。通过确定电网电流中的谐波含量来测量整个系统的性能，并通过开发硬件原型来验证系统的MATLAB Simulink模型。