Integration of modular multilevel converters and soft computing for efficient grid-connected PV systems

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal Pub Date : 2025-08-05 DOI:10.1016/j.asej.2025.103642

Manimala P , Sujatha Balaraman , C. John De Britto , M. Hariprabhu

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引用次数: 0

Abstract

An innovative approach that leverages Multilevel Inverter (MLI) advanced control methodologies to improve grid-connected Photovoltaic (PV) system performance is introduced in this work. This Modular Multilevel Converter (MMC) consists of both high-frequency converter and low-frequency inverter, facilitating efficient power conversion. To maximize PV power extraction, novel Chaotic Prairie Dog Optimization (PDO) based Fuzzy Maximum Power Point Tracking (MPPT) algorithm is implemented. The optimized Fuzzy MPPT output, combined with reactive power information, serves as inputs to dq theory-based Proportional-Integral (PI) controller. The obtained reference current undergoes pre-processing, Discrete Cosine Transform (DCT) based segmentation, Self-adapting genetic algorithm (GA)-Probabilistic Neural Networks (PNN) based classification. Furthermore, validation through Matlab simulations and hardware implementation underscores the proposed approach’s effectiveness in optimizing grid-connected PV system operation. With a total harmonic distortion (THD) of 1.25% in simulation and 1.6% in experiments, the system exhibits a high level of precision in generating sinusoidal current waveforms.

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高效并网光伏系统的模块化多电平变流器与软计算集成

本文介绍了一种利用多电平逆变器（MLI）先进控制方法来提高并网光伏（PV）系统性能的创新方法。模块化多电平变换器（MMC）由高频变换器和低频逆变器组成，实现了高效的功率转换。为了实现光伏发电功率提取的最大化，实现了一种基于混沌草原土拨鼠优化（PDO）的模糊最大功率点跟踪（MPPT）算法。优化后的模糊MPPT输出，结合无功功率信息，作为基于dq理论的比例积分（PI）控制器的输入。得到的参考电流经过预处理，基于离散余弦变换（DCT）的分割，基于自适应遗传算法(GA)-概率神经网络（PNN）的分类。此外，通过Matlab仿真和硬件实现的验证强调了该方法在优化并网光伏系统运行方面的有效性。仿真总谐波失真（THD）为1.25%，实验总谐波失真（THD）为1.6%，系统在生成正弦波电流波形方面具有较高的精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.