E Silva Danilo P, Salles José L Félix, Fardin Jussara F, Pereira Maxsuel M Rocha, Ottz Vinícius C, da Silva Flavio B B, Pignaton Eduardo G
Federal Institute of Education, Science and Technology of Espírito Santo (IFES), Serra, E.S., Brazil.
Electrical Eng. Department, Federal University of Espírito Santo (UFES), Vitória, E.S., Brazil.
Data Brief. 2021 Oct 28;39:107513. doi: 10.1016/j.dib.2021.107513. eCollection 2021 Dec.
This article presents the weather and power data files from renewable sources used to solve the economic dispatch problem of a microgrid that operates in the isolated and grid-connected modes. Methodology is used in the research article "Management of an island and grid-connected microgrid using hybrid economic model predictive control with weather data" (Silva et al., 2020). Automatic stations located in the Brazil's south and northeast furnished the weather data (global horizontal irradiance, temperature, and wind speed). A script generates files containing weather forecasts from one-day ahead using the geographical coordinates of the weather stations. Hybrid models, characterized by real and binary variables, use the weather forecasting data to calculate the photovoltaic and wind power forecasts. A microgrid management algorithm uses these forecasts to solve the optimal economic dispatch problem. This data-in-brief paper presents five datasets for each weather station: (i) Weather dataset downloaded from the website of the National Meteorological Institute, (ii) Weather research and forecasting (WRF) dataset derived from the raw data generated by the weather research and forecasting model, (iii) Weather dataset that joins the forecasted data with the measured data in a single file, (iv) Handled dataset that treats some gaps in the weather dataset and converts it to other formats, (v) Files containing only the temperature, global horizontal irradiance, and wind speed data, (vi) Files containing the measured and forecasted wind and solar power.
本文展示了用于解决以孤立模式和并网模式运行的微电网经济调度问题的可再生能源天气和功率数据文件。研究方法用于研究论文《使用含天气数据的混合经济模型预测控制管理离岛和并网微电网》（席尔瓦等人，2020年）。位于巴西南部和东北部的自动气象站提供了天气数据（全球水平辐照度、温度和风速）。一个脚本利用气象站的地理坐标生成包含提前一天天气预报的文件。以实变量和二元变量为特征的混合模型利用天气预报数据来计算光伏和风力发电预测。一种微电网管理算法利用这些预测来解决最优经济调度问题。本简要数据文件为每个气象站提供了五个数据集：（i）从国家气象研究所网站下载的天气数据集，（ii）从天气研究和预报模型生成的原始数据导出的天气研究和预报（WRF）数据集，（iii）在单个文件中将预测数据与实测数据合并的天气数据集，（iv）处理了天气数据集中一些缺口并将其转换为其他格式的处理后数据集，（v）仅包含温度、全球水平辐照度和风速数据的文件，（vi）包含实测和预测风力及太阳能发电量的文件。
