部分遮阳条件下光伏阵列功率增强的泛在配置算法

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-06-07 DOI:10.1016/j.compeleceng.2025.110435

Rahul Anand , Bhavnesh Kumar , Swaroop D , Arjun Tyagi

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引用次数: 0

摘要

在部分遮荫条件下，光伏阵列的发电能力急剧下降。运行条件降低了阵列的发电能力，使MPP跟踪复杂化。重新配置光伏阵列可以减轻部分遮阳效应。提出了一种新的无所不在配置算法（NUCA），用于光伏阵列的动态重构。在7 × 5模块的光伏阵列上测试了该算法在功率损耗、性能比和填充因子等方面的不匹配。并将所提出的配置与基准配置SP-TCT、TCT、BLHC和BL-TCT进行了相对比较。与最佳配置相比，NUCA下的光伏阵列实现了10.8%的全球最大功率点（GMPP）提高和15.3%的功率损耗降低。本研究是在MATLAB/Simulink环境下完成的。

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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Novel ubiquitous configuration algorithm for power enhancement of PV array operating under partial shading conditions

The power-generating capacity of a photovoltaic (PV) array decreases dramatically under partial shade. Operating conditions reduce the power-generating capacity of the array and complicate MPP tracking. Reconfiguring the PV array can mitigate the partial shading effect. This paper presents a Novel Ubiquitous Configuration Algorithm (NUCA) for dynamically reconfiguring the PV array. Efficacy of the proposed algorithm has been tested on a PV array of 7 × 5 modules for mismatch in power loss, performance ratio, and fill factor. A relative comparison has also been made of the proposed configuration to the benchmark configurations, namely SP-TCT, TCT, BLHC, and BL-TCT. The PV array under NUCA has achieved a 10.8 % higher global maximum power point (GMPP) and 15.3 % lower power loss than the best-performing configuration. This completed research has been conducted in the MATLAB/Simulink environment.

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.