Solar Panel Data

A solar photovoltaic (PV) plant (operated by Ultra Vibrant Solar Energy Pvt. Ltd.) was installed on the rooftop of Fitpack Textiles in Jaipur, Rajasthan, situated at coordinates 26.76640°N, 75.8326°E and at location: https://maps.app.goo.gl/pHLiy3EW7UEeTTLp6 within the state of Rajasthan, India. The site incorporated two inverters, with Inverter 1 having a capacity of 20 kW and Inverter 2 with a capacity of 100 kW. The collection of data was conducted during the year 2022. The output current and voltage of the panel are measured from 6 AM to 3 PM at every 30 minutes of interval. The daily electrical output collected from INV 1 and INV 2 has been given. For the record there was a technical breakdown in the month of December, and the plant malfunctioned, resulting in negligible data available for many days in December. The study examined the variation in electrical output power of solar PV panels with respect to environmental parameters, solar radiation, atmospheric conditions, and external events such as solar flares and CMP outbursts in 2022. The atmospheric conditions analyzed included air temperature, cloud opacity, DNI, DHI, GHI, relative humidity, and wind speed, obtained with the help of data produced by Solcast API (https://solcast.com/Solcast PV). Table 1 denotes the monthly Average Radiation Data obtained from Solcast API. Additionally, wind direction (WD) in degrees and barometric pressure (BP) data, as well as pollution parameters, were sourced from Central Pollution Control Board (CPCB) (All India Central Control Room for Air Quality Management center, Adarsh Nagar, Jaipur). The parameters considered were PM2.5 (µg/m³), PM 10 (µg/m³), NOx (ppb), NH3 (µg/m³), SO2 (µg/m³), CO (mg/m³), Ozone (µg/m³), Benzene (µg/m³), MP-Xylene (µg/m³), and O Xylene (µg/m³). Solar flares and Coronal Mass Ejection (CME) data from the year 2022 were acquired from the NASA website NASA Solar Flare Data and NASA CME Data where DONKI is a comprehensive online database of space weather events for the community. Only solar flares categorized as M and X class were specifically targeted to gauge their impact on the solar output of the system. The above data has been arranged in Tabular form in the given excel sheet. The * in the table indicates the days of flares and CME occurrences. The above data can be processed further for preparing the machine learning (ML)-based output power prediction model.本光伏（PV）电站由Ultra Vibrant Solar Energy Pvt. Ltd.运营，安装于印度拉贾斯坦邦斋浦尔的Fitpack Textiles厂房屋顶，坐标为26.76640°N、75.8326°E，具体位置链接为https://maps.app.goo.gl/pHLiy3EW7UEeTTLp6。该电站配备两台逆变器：逆变器1额定容量20 kW，逆变器2额定容量100 kW。数据采集工作于2022年全年开展，采集时段为每日6:00至15:00，采样间隔为30分钟，测量内容为光伏组件的输出电流与电压。本数据集包含逆变器1（INV 1）与逆变器2（INV 2）的每日发电量数据。需说明的是，该电站于2022年12月发生技术故障，导致当月多数日期的有效数据量极少。 本研究针对2022年光伏组件输出电功率的变化特征展开分析，探究其与环境参数、太阳辐射、大气条件以及太阳耀斑、日冕物质抛射（CME）爆发等空间外部事件的关联。本次分析的大气条件参数涵盖气温、云量不透明度、直接法向辐照度（DNI）、水平散射辐照度（DHI）、总水平面辐照度（GHI）、相对湿度与风速，相关数据由Solcast API（https://solcast.com/Solcast PV）提供。表1为通过Solcast API获取的月均辐射数据。此外，风向（WD，单位：度）与气压（BP）数据，以及污染相关参数，均取自中央污染控制委员会（CPCB，印度全印空气质量管理中央控制室，斋浦尔阿达什纳加尔）。本次纳入分析的污染参数包括：PM2.5（µg/m³）、PM10（µg/m³）、氮氧化物（NOx，ppb）、氨（NH3，µg/m³）、二氧化硫（SO2，µg/m³）、一氧化碳（CO，mg/m³）、臭氧（µg/m³）、苯（µg/m³）、间对二甲苯（MP-Xylene，µg/m³）以及邻二甲苯（O Xylene，µg/m³）。2022年太阳耀斑与日冕物质抛射（CME）数据取自NASA官网的NASA Solar Flare Data与NASA CME Data，其中DONKI是面向全球科研社区的综合性空间天气事件在线数据库。本研究仅针对M级与X级太阳耀斑展开分析，以评估其对本电站发电输出的影响。上述所有数据已整理为表格形式，存储于配套Excel工作表中。表格中的星号（*）代表太阳耀斑与CME事件的发生日期。本数据集可进一步用于构建基于机器学习（ML）的发电输出功率预测模型。