DANTAS, F. B.; http://lattes.cnpq.br/0670700800927974; DANTAS, Felipe Barros.
Resumen:
This Thesis proposes a method for the optimal installation of one or several microgrids in
distribution systems. Microgrids include wind and photovoltaic generation and electrical
energy storage arrangements. The proposed method contributes to reducing technical
losses of electrical energy over a period of 10 years and to evaluating the performance
of microgrids with a high penetration of renewable energy, in addition to having the
f
lexibility to change microgrid configurations. The method considers different levels of
penetration, as the future of the power system will require this condition. The Genetic
Algorithm meta-heuristic was used as a tool to solve the proposed optimization problem.
To calculate the power flow, the OpenDSS software is used, which must respect the
voltage limits imposed by the National Electric Energy Agency- ANEEL. The case studies
were divided considering different levels of maximum renewable energy penetration.
Analysis of the results showed that the proposed method was able to install microgrids
reducing electrical energy losses, as well as estimating the costs of the optimal solutions
found after the optimization process. A differentiator of the method is the possibility of
using it even with a high penetration of renewable generation, in addition to considering
a 10-year horizon. The proposed method is simple, fast and efficient, and was applied to
the IEEE 123 bus test system, being able to define the number and location of microgrids,
achieving success in the case studies.