The appropriate measurement of solar power output plays a critical role in the performance analysis of any solar power plant or a photovoltaic array. The performance under standard test conditions (STC), as mentioned by the manufacturers, is seldom attained as measurements of a PV module/array are done in outdoor terms. To evaluate the efficiency of performance, a photovoltaic module/array accurately, an on-line characterization of such photovoltaic (PV) set-ups at non-standard test conditions (NSTC) is always necessary. In the backdrop of the absence of reliable and competitively priced PV module characterization systems, a smart, digital and portable test set-up seem to be highly significant, and such a model has been developed and analyzed in this work. This system uses supercapacitors as the load to the PV module under test. At present, such characterizations are carried out using imported devices, which cost around INR 200-300 thousand. The system so developed will cost around INR 30 thousand and is aimed at import substitutions of such measurement devices. This is very important with regard to field installations testing and will also be of extreme help to researchers in the laboratories, who require all cannot use extensive testing and costly imported instruments. Proper attention has been paid in this work to determine the suitability of the method concerning I-V plotting time and accuracy. Thus it becomes imperative that the quality of the new PV metrology be verified experimentally and duly validated to instill confidence among the users. A detailed investigation regarding the quality of measurements has been carried out, taking into consideration the effect of a wide range of climatic variations. It has been found that these values are consistently in good agreement with the results obtained at the standard Electronics Regional Test Laboratory (ERTL Govt. Of India) test set-up. Statistical analysis of the PV measurements is ensured by regression analysis (RA) of the respective electrical parameters and the standard deviation (SD) of fill factor (FF) values. Experimental evaluation of quality parameters like Fill-Factor (FF) has yielded satisfactory ranges of 70% to 79% for FF. Elaborate regression analysis (RA) of principal PV parameters has yielded consistently high values exceeding 99%. At this time, when India is planning to install large-scale PV plants, there is a significant need to measure the electrical parameters of PV modules of different technologies and, after that, choose the appropriate one for optimum performance in a specific region.

适当地测量太阳能输出在任何太阳能发电厂或光伏阵列的性能分析中都起着至关重要的作用。正如制造商所提到的，由于在室外条件下对PV模块/阵列进行的测量很少能达到标准测试条件（STC）下的性能。为了评估性能效率，需要准确地建立光伏模块/阵列，始终需要在非标准测试条件（NSTC）下对这些光伏（PV）装置进行在线表征。在缺乏可靠且价格合理的光伏组件表征系统的背景下，智能，数字和便携式测试设置似乎非常重要，并且已在此工作中开发并分析了这种模型。该系统使用超级电容器作为被测PV模块的负载。现在，这种表征是使用进口设备进行的，成本约为200-300,000印度卢比。如此开发的系统将耗资约3万印度卢比，旨在替代此类测量设备。这对于现场安装测试非常重要，对实验室的研究人员也有极大帮助，因为实验室的研究人员要求所有人都不能使用广泛的测试和昂贵的进口仪器。在这项工作中已经适当注意确定有关IV绘图时间和准确性的方法的适用性。因此，必须通过实验验证并适当验证新PV计量的质量，以灌输用户的信心。已对测量质量进行了详细调查，考虑到各种气候变化的影响。已经发现这些值与在标准电子区域测试实验室（印度ERTL政府）测试装置中获得的结果一致。PV测量的统计分析通过相应电气参数的回归分析（RA）和填充系数（FF）值的标准偏差（SD）来确保。对诸如填充因子（FF）之类的质量参数进行实验评估，得出FF的满意范围为70％至79％。主要PV参数的精细回归分析（RA）产生的持续高值超过99％。目前，当印度计划安装大型光伏电站时，