Abstract

The capacitor based load method possess the capability to perform during non-uniform environmental conditions with auto-sweep functionality in the process of outdoor performance characterisation of Solar Photovoltaic (SPV) module. This paper proposes a smart, portable, economical and scalable Current–Voltage Curve Tracer (IVCT) and Power–Voltage Curve Tracer (PVCT). Proposed I–V tracer is based on the capacitive loading method with the Internet of Thing (IoT) capabilities. The developed system has IoT features to upload real-time curve traces and access statistical and analytical data of the SPV module over a remote location or rural area. The system developed here in comprises economic data logging circuit which adapts as per the rapidly changing light condition during I–V tracing. MATLAB simulation and actual hardware experimental tests performed for the evaluation and validation of the proposed IV curve tracer results.

中文翻译：

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基于电容器负载的IV曲线示踪器，用于表征太阳能光伏系统的性能

摘要

基于电容器的负载方法具有在非均匀环境条件下执行自动扫描功能的能力，可以在太阳能光伏（SPV）模块的室外性能表征过程中执行该功能。本文提出了一种智能，便携式，经济且可扩展的电流电压曲线追踪器（IVCT）和功率电压曲线追踪器（PVCT）。提议的I–V跟踪器基于具有物联网（IoT）功能的电容性加载方法。开发的系统具有IoT功能，可在远程位置或农村地区上载实时曲线轨迹并访问SPV模块的统计和分析数据。此处开发的系统包括经济数据记录电路，该电路可在I–V期间根据快速变化的光照条件进行调整追踪。执行了MATLAB仿真和实际硬件实验测试，以评估和验证所提出的IV曲线示踪剂结果。