Published May 2015 | Version v1
Journal article

The stochastic effects on the Brazilian Electrical Sector

  • 1. Brazilian Institute of Economics (FGVIBRE), R. Barão de Itambi, 60 Botafogo, Rio de Janeiro (Brazil)
  • 2. Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, R. Marquês de São Vicente, 225 Gávea, Rio de Janeiro (Brazil)
  • 3. Electrical Engineering Department, Pontifical Catholic University of Rio de Janeiro, R. Marquês de São Vicente, 225 Gávea, Rio de Janeiro (Brazil)

Description

The size and characteristics of the Brazilian Electrical Sector (BES) are unique. The system includes a large-scale hydrothermal power system with many hydroelectric plants and multiple owners. Due to the historical harnessing of natural resources, the National Interconnected System (NIS) was developed outside of the economic scale of the BES. The central components of the NIS enable energy generated in any part of Brazil to be consumed in distant regions, considering certain technical configurations. This interconnection results in a large-scale complex system and is controlled by robust computational models, used to support the planning and operation of the NIS. This study presents a different vision of the SEB, demonstrating the intrinsic relationship between hydrological stochasticity and the activities executed by the system, which is an important sector of the infrastructure in Brazil. The simulation of energy scenarios is crucial to the optimal manner to operate the sector and to supporting decisions about whether expansion is necessary, thus, avoiding unnecessary costs and/or losses. These scenarios are an imposing factor in the determination of the spot cost of electrical energy, given that the simulated quantities of water in the reservoirs are one of the determinants for the short-term energy price. - Highlights: • The relationship between the hydrological regimes and the energy policy and planning in Brazil; • An overview about the stochastic effects on the Brazilian Electrical Sector; • The stochasticity associated with the Brazilian electrical planning; • The importance of hydro resources management for energy generation in Brazil;

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eneco.2015.03.004

Additional details

Identifiers

DOI
10.1016/j.eneco.2015.03.004;
PII
S0140-9883(15)00095-X;

Publishing Information

Journal Title
Energy Economics
Journal Volume
49
Journal Page Range
p. 328-335
ISSN
0140-9883
CODEN
EECODR

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.