Abstract
This paper presents a research was carried out for the management of a photovoltaic system in a Microgrid, with applications and the use of tools applied to modeling and computational simulation in the Microgrid laboratory implanted in the facilities of the University of Cuenca (Ecuador). Additionally, through the use of automatic learning techniques, the behavior of the photovoltaic system has been modeled in the study area based on radiation and temperature with very good results. In addition, several applications can be made in real engineering studies such as feasibility, performance analysis, energy estimation, educational models, etc.
Highlights
Technology's progress of renewable energies in recent years has marked an impressive development for the generation, transmission and intelligent distribution of electric energy
Results of the Simulation: In order to validate the proposed models, the data obtained from the weather station (WatchDog 2900ET) located in the study area were used and correspond to one day, the values of direct solar radiation are represented in [W/m2] and temperature in [°C]
As can be seen in the figure, there is an important variation close to 12:00 as a result of the frequent cloudiness of the area with a maximum radiation of 973W/m2 for an ambient temperature of 16.2°C and an average of 15.6°C during that day, temperature that within the model used does not represent a significant decrease in the generation of energy, given that the panels used have a coefficient of power of the temperature of -0.43%/°C
Summary
Technology's progress of renewable energies in recent years has marked an impressive development for the generation, transmission and intelligent distribution of electric energy. The behavior of the system can be modeled by the use of computational tools as in the studies in: Prasanth et al (2018); Razman and Chee, (2017); Rameen, (2017); Ahmad et al (2017). This allows to have a referential system with respect to the installed to estimate the production of energy under the available solar resource, allows to study the possibility of improving the performance by replacing new panels with superior characteristics. To obtain its validation by means of measurement tests in each stage, a database obtained from the weather station and a comparison of the real measurements with the results of the model have been entered
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