This research proposed the data acquisition system (DAS), which has a capability to collect real-time voltage and current at variable load resistance during an experimental characterization analysis of 3 × 3 size, photo voltaic (PV) system, under partial shading conditions (PSCs). In addition, the system is economical and minimizes the testing period for PV system characterization relative to traditional approaches. Analogue voltage and current sensors are integrated with the open-source Arduino platform to quantify and store real-time performance data in the SD card assembly. Performance parameters such as voltage and power at global maximum power point (GMPP), with minimized power loss (PL) and improved fill factor (FF) shows the effectiveness of the proposed system under the PSCs. Real-time hardware is developed and its performance is compared with the MATLAB/Simulink performance, with percentage errors as low as 0.48%, 1.95% and 1.37% under different shading case.

这项研究提出了一种数据采集系统（DAS），它具有在部分阴影条件下对3×3尺寸的光伏（PV）系统进行实验表征分析期间，在可变负载电阻下收集实时电压和电流的能力（ PSC）。此外，该系统经济实用，相对于传统方法，该系统可最大程度地缩短光伏系统表征的测试时间。模拟电压和电流传感器与开源Arduino平台集成在一起，以量化并在SD卡组件中存储实时性能数据。性能参数（例如，全局最大功率点（GMPP）处的电压和功率）具有最小的功率损耗（PL）和改进的填充因子（FF），显示了拟议系统在PSC下的有效性。