Solar PV Data Analysis

Solar photovoltaic (PV) systems are increasingly recognized as crucial sustainable energy sources with diverse applications. Their implementation leverages rapid advancements in material engineering, communication systems, and computational intelligence tools. This paper focuses on mathematical methods for signal analysis, including multichannel signal processing, optimization methods, and feature evaluation, to monitor PV systems with panels situated in a specific coordinate system. In particular, it examines systems with east/west oriented photovoltaic panels, employing computational tools to analyze power signals, assess time and positioning data, evaluate symmetry coefficients, and estimate features for detecting potential panel failures. The proposed methodology incorporates digital filtering, numerical and statistical methods, and clustering of multichannel power energy features. Additionally, a general graphical user interface for data analysis is proposed. A detailed case study is presented, analyzing the distribution of selected features over 70-day segments of a PV system comprising 7 east-oriented and 7 west-oriented panels, with data recorded over 5 days at 15-minute intervals. The results reveal distinct and well-separated feature clusters for healthy PV panels. The conclusions underscore the effectiveness of general signal processing tools in enhancing the integration of PV systems into existing grid systems, thereby improving their efficiency and facilitating the interconnection of monitoring systems with communication technologies.

太阳能光伏（PV）系统日益被视为至关重要的可持续能源，拥有广泛的应用场景。其落地应用依托于材料工程、通信系统以及计算智能工具领域的快速发展。本文聚焦于用于信号分析的数学方法，涵盖多通道信号处理、优化方法与特征评估，以对安装于特定坐标系下的光伏面板系统开展监测。具体而言，本文针对东西向布置的光伏面板系统展开研究，借助计算工具分析功率信号、评估时间与位置数据、计算对称系数，并提取用于检测面板潜在故障的特征。本文提出的研究方法融合了数字滤波、数值与统计方法，以及多通道电能特征聚类技术。此外，本文还设计了一款通用的数据分析图形用户界面。本文开展了一项详细的案例研究：针对一套包含7块东向光伏面板与7块西向光伏面板的光伏系统，分析其70天时段内选定特征的分布情况，所用数据为以15分钟为间隔、连续5天采集的记录数据。研究结果显示，正常运行的光伏面板可形成清晰且分离度良好的特征簇。研究结论证实，通用信号处理工具可有效助力光伏系统与现有电网的融合，提升光伏系统运行效率，并推动监测系统与通信技术的互联互通。

搜集汇总

背景与挑战

背景概述

该数据集涉及太阳能光伏（PV）系统分析，专注于东/西向面板的监控。通过多通道信号处理、特征评估和聚类方法，分析来自一个包含14个面板的PV系统的5天记录数据（每15分钟间隔），旨在检测面板故障并提升系统效率。