Designing an efficient and advanced controlling technique for improving the power quality of grid integrated multilevel inverters is one of the challenging and demanding tasks in recent days. Because reduced Total Harmonic Distortions (THD), voltage sag, swell, and other power quality issues have a significant impact on the performance of the overall grid system. Hence, the different types of multilevel inverter topologies are implemented in the conventional works for solving the power quality problems of the grid-PV systems. Since, it limits with the drawbacks of increased system complexity, oscillations, loss of power, and presence of noise components. Therefore, the proposed work objects to develop an advanced and efficient optimization based controlling technique, named as, Swapped Probabilistic Search (SPS)—Linear Propagation of Differential Parameter (LPDP) Controller for the grid-PV systems. The main contribution of this work is to design and develop a Symmetric Switching based Multilevel Inverter (SSMI) for solving the power quality problems of grid systems. Moreover, a Nelder-Mead Maximum Power Point Tracking (NM-MPPT) algorithm is also employed for obtaining the maximum power yield from the solar PV panels during fluctuating climatic circumstances. The development of a new controlling algorithm for a multi-level inverter in order to enhance grid system power quality is the original research contribution of this work. It supports to increase PV output with minimal switching complexity by utilizing a cutting-edge converter. A new NM-MPPT controlling algorithm, SEPIC converter, SPS optimization, and LPDP controlling technique are used in this study work to achieve these goals. In order to improve the performance of SSMI, the controlling parameters are selected with the use of SPS optimization technique. Based on the LPDP controlling operations, the overall grid performance is improved with better power quality. The SPS-LPDP controlling technique helps to improve the power quality of grid by tuning the optimal controlling parameters. During evaluation, the performance of SPS-LPDP controlling technique is validated and compared by using various measures. By using SPS-LPDP controlling technique, the power tracking efficiency is improved to 99%, THD is reduced to 2.94%, and hardware performance rate is increased up to 98%.

设计一种高效、先进的控制技术来提高并网多电平逆变器的电能质量是当今具有挑战性和艰巨的任务之一。因为减少总谐波失真 (THD)、电压暂降、暂升和其他电能质量问题会对整个电网系统的性能产生重大影响。因此，在传统的工作中采用不同类型的多电平逆变器拓扑来解决并网光伏系统的电能质量问题。因此，它存在以下缺点：系统复杂性增加、振荡、功率损失以及噪声分量的存在。因此，所提出的工作目标是开发一种先进且高效的基于优化的控制技术，称为交换概率搜索（SPS）——用于电网光伏系统的微分参数线性传播（LPDP）控制器。这项工作的主要贡献是设计和开发一种基于对称开关的多电平逆变器（SSMI），用于解决电网系统的电能质量问题。此外，还采用Nelder-Mead最大功率点跟踪（NM-MPPT）算法来在气候变化的情况下获得太阳能光伏板的最大发电量。开发一种新的多电平逆变器控制算法以提高电网系统电能质量是这项工作的原创研究贡献。它支持利用尖端转换器以最小的开关复杂性来增加光伏输出。本研究工作中使用了新的 NM-MPPT 控制算法、SEPIC 转换器、SPS 优化和 LPDP 控制技术来实现这些目标。为了提高SSMI的性能，利用SPS优化技术选择控制参数。基于LPDP控制操作，整体电网性能得到改善，电能质量得到改善。 SPS-LPDP控制技术通过调整最优控制参数来改善电网的电能质量。在评估过程中，通过使用各种措施来验证和比较SPS-LPDP控制技术的性能。采用SPS-LPDP控制技术，功率跟踪效率提高至99%，THD降低至2.94%，硬件性能提升至98%。