Abstract The photovoltaic solar energy in Brazil was boosted by Normative Resolution No. 482/2012 of ANEEL, which regulated the micro and mini generation in the compensation system, and by the specific auctions for photovoltaic plants carried out by the federal government. However, the country still has little representation of the solar energy in its electrical matrix, about 0.13%, with approximately 1% of the installed capacity of electric power generators considering all the sources, both values refer to the year 2017. In the initial moments of a technology, its growth occurs irregularly and because there is little installed capacity, any added value can cause abrupt variations in the percentage from one year to another, that is, its growth still does not follow a sustainable standard, which should be regularized around the year 2025, following the worldwide trend of growth of approximately 30% each year. As a scenario for 2025, the total power of the PVSGC in Brazil will be approximately 75.6 GWp which will represent 98.3 TWh of electric energy produced by this source, considering the estimated electric energy demand for 2025 of 800 TWh, will result in the contribution of 12.3% of the energy by solar photovoltaic source.

ABSTRACT This work presents the mapping of grid-connected photovoltaic systems supported by the Normative Resolution (NR) of the National Agency of Electric Energy (ANEEL) Nº 482/2012 in the city of Curitiba. Firstly, a brief introduction was made justifying the reasons that led to the development of this study, followed by the explanation about the methodology, procedures and criteria adopted in the study. A general mapping of all on-grid photovoltaic systems supported by NR Nº 482/2012 installed in the city of Curitiba, identified by class, is presented, indicating how the urban distribution of these photovoltaic systems occurs, and it is possible to observe in which regions the highest prevalence of installations occurs. From this, the general characterization of these photovoltaic systems is performed, classifying them by class, number of installed systems, power, number of modules, total occupied area, average power of modules and average efficiency of photovoltaic systems. Considerations are also raised regarding the reliability of the Database of Distributed Generation Consumer Units made available by ANEEL.