Energy flow management of photovoltaic (PV) based ON-Grid system using BDC converter is analysed and implemented in this paper. The intermittent nature of renewable energies makes the unstable operation of utility grid system. In order to ensure the stable operation of the utility grid system and to support smart grid functionalities, there is the requirement of power electronics participation is high. So that, Grid-connected PV with converters plays an essential role in power management. In this paper, a suitable bidirectional converter (BDC) with advanced optimization control strategies has proposed for power flow management. Further this converter provides a high efficiency, enhanced control flexibility and has the capability to operate in different operational modes from the input to output. The power from PV and grid satisfies the load demand and maintains the continuous power flow to load. The power balance improvement in BDC has power factor correction, harmonics elimination and voltage regulation at AC mains. This paper proposes the analysis of Genetic Algorithm tuning PID (GA-PID) control a process that effectively reduces the bidirectional converter harmonics; this aim is attained and shown in both MATLAB/Simulink and experimental results.

本文分析并实现了使用BDC转换器的光伏并网系统的能量流管理。可再生能源的间歇性使公用电网系统运行不稳定。为了确保公用电网系统的稳定运行并支持智能电网功能，电力电子参与度要求很高。因此，带有转换器的并网光伏发电在电源管理中起着至关重要的作用。本文提出了一种适合的具有高级优化控制策略的双向转换器（BDC），用于潮流管理。此外，该转换器提供了高效率，增强的控制灵活性，并具有从输入到输出的不同工作模式下工作的能力。来自光伏和电网的电力可以满足负荷需求，并保持持续的电力流向负荷。BDC中功率平衡的改善包括功率因数校正，谐波消除和交流电源电压调节。本文提出了遗传算法整定PID（GA-PID）控制过程的分析方法，该过程有效地降低了双向换流器的谐波。该目标已经实现，并在MATLAB / Simulink和实验结果中得到了证明。