Title :
Methodology for long-term forecasting to insertion of DG in distribution systems
Author :
Laura Lisiane Callai dos Santos;Luciane Neves Canha;Daniel Pinheiro Bernardon;Roberto Andr? Pressi
Author_Institution :
UFSM - Brasil
Abstract :
The brazilian electric power generation system is based on large hydroelectric plants, which are located far from consumers, being connected to these by transmission lines. In recent years it has had an incentive for the use of renewable sources of electricity, aiming at diversification of energy sources and reduction of environmental impacts caused by large plants. The new regulations reinforce this incentive including the application of distributed generation in low and medium voltage consumers (Normative Resolution N° 482 / ANEEL). The purpose of this paper is to map the energy potential in the South of Brazil, exploring how distributed generation technologies, the wind energy, solar, biomass and hydro, for long-term forecasting to insertion of DG (Distributed Generation) in distribution systems (medium and low voltage).
Keywords :
"Biomass","Mathematical model","Distributed power generation","Photovoltaic systems","Software","Wind power generation"
Conference_Titel :
Power Engineering Conference (UPEC), 2015 50th International Universities
DOI :
10.1109/UPEC.2015.7339945