Algarín Carlos Robles, Álvarez Omar Rodríguez, Castro Adalberto Ospino
Universidad del Magdalena, Facultad de Ingeniería, Carrera 32 No 22 - 08, Santa Marta, Colombia.
Universidad de la Costa, Facultad de Ingeniería, Calle 58 No 55 - 66, Barranquilla, Colombia.
Data Brief. 2018 Nov 9;21:1618-1621. doi: 10.1016/j.dib.2018.11.023. eCollection 2018 Dec.
This article presents the data of a PV system using fuzzy logic and the perturb and observe (P&O) algorithm, under sudden changes in the solar irradiance and the operating temperature of a PV module. The mathematical modeling of the PV module, the dc-dc converter and the fuzzy and P&O controllers were discussed in our previous work entitled "Fuzzy logic based MPPT controller for a PV System" (Algarín et al., 2017) [1]. Data are presented for six cases with different operating conditions: in the first case the two controllers were evaluated for standard test conditions with constant solar irradiance of 1000 W/m and constant temperature of 25 °C. In the remaining five cases sudden increases and decreases were made in the operating conditions of the PV module. Finally, the theoretical data of the PV system are presented, which can be used as a reference to analyze the data obtained with the two controllers in the six cases. Data are provided in Supplementary material in Tables 1-7.
本文介绍了在光伏模块的太阳辐照度和工作温度突然变化的情况下,使用模糊逻辑和扰动观察(P&O)算法的光伏系统的数据。在我们之前题为《基于模糊逻辑的光伏系统最大功率点跟踪控制器》(阿尔加林等人,2017年)[1]的工作中,讨论了光伏模块、直流-直流转换器以及模糊和P&O控制器的数学建模。给出了六种不同运行条件下的案例数据:在第一种情况下,对两个控制器在标准测试条件下进行评估,太阳辐照度恒定为1000 W/m,温度恒定为25°C。在其余五种情况下,光伏模块的运行条件出现突然增减。最后,给出了光伏系统的理论数据,可作为分析六种情况下两个控制器所获数据的参考。补充材料中的表1-7提供了数据。