Dissertação
Reconfiguração de redes de distribuição considerando multivariáveis e geração distribuída
Fecha
2014-02-28Registro en:
MELLO, Ana Paula Carboni de. Reconfiguration of distribution network considering distributed generation and multivariables criteria. 2014. 141 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Santa Maria, Santa Maria, 2014.
Autor
Mello, Ana Paula Carboni de
Institución
Resumen
The new design of electric power system, called Smart Grid, has emerged as a new challenge
especially for power distribution networks, which need to promote greater functionality such
as real-time monitoring of the information about the energy consumption of consumers, the
massive automation with smarter equipment and devices, monitoring and quick action when
facing problems, connection of distributed generation, among others. The connection of
distributed generation sources such as wind and solar power in the distribution network is
becoming an increasingly common practice and it has great influence on several aspects of the
distribution network, especially in system reconfiguration. The initial topology of the feeders
may not be ideal after the connection of the power generation, as well as the power flow is
modified by the distributed generation. In this sense, this Master Thesis presents a
methodology for the management of distribution networks through reconfiguration of the
network topology and the power injection of distributed generators based on wind,
photovoltaic and hydroelectric generation. The solution of the reconfiguration problem is
based on heuristic technique Branch Exchange, which seeks to optimize multiple objectives.
To select the networks configuration the multi-criteria decision AHP (Analytic Hierarchy
Process) method is used. To illustrate the efficiency of the methodology the results for a real
network of an electric utility are presented, considering different scenarios of load and
distributed generation availability, as well as validation of the results by the exhaustive search
method.