This paper presents a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT). The MPPT has been executed by employing a boost converter using particle swarm optimization (PSO) technique. The system is composed of two photovoltaic arrays. Each PV array contains three panels connected in series, including distinct MPPT. The PSC detection exploits the neighboring PV system data. This suggested innovative algorithm is proficient in detecting these subjects: (a) fault, (b) partial shading condition, (c) solar panel (d) panel’s relevant bypass diode failure, (d) converter failure alongside specifying the failed semiconductor, and (e) PV disconnection failure. The simulation process has been implemented using MATLAB/Simulink software. To this end, the proposed method was investigated experimentally using two 250 W PV solar set under various PSCs and faults. A data exchange link is used to implement an integrated management system. The Zigbee protocol was also chosen to data exchange of converters. The results validated the applicability and practicality of this algorithm in domestic PV systems.

中文翻译：

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使用相邻面板数据交换的家用光伏系统诊断、局部遮蔽和故障检测的新实验和方法

本文提出了一种考虑最大功率点跟踪 (MPPT) 的光伏 (PV) 家用网络中故障和局部遮蔽条件 (PSC) 的新检测方法。MPPT 是通过使用粒子群优化 (PSO) 技术的升压转换器来执行的。该系统由两个光伏阵列组成。每个光伏阵列包含三个串联的面板，包括不同的 MPPT。PSC 检测利用邻近的光伏系统数据。这种建议的创新算法精通于检测这些主题：(a) 故障，(b) 部分阴影条件，(c) 太阳能电池板 (d) 电池板的相关旁路二极管故障，(d) 转换器故障并指定故障半导体，以及（ e) 光伏断开故障。仿真过程已使用 MATLAB/Simulink 软件实现。为此，使用两个 250 W PV 太阳能组在各种 PSC 和故障下对所提出的方法进行了实验研究。数据交换链路用于实现集成管理系统。Zigbee 协议也被选择用于转换器的数据交换。结果验证了该算法在国内光伏系统中的适用性和实用性。