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Universidade Federal de Viçosa

Power system planning: an integrated techno-economic and portfolio approach

Abstract

dc:description.abstract

The electricity sector can be afflicted with different types of risk, in particular fuel price fluctuations can highly impact the price of electricity. The most common tools used in power planning apply a minimum cost approach to it in order to find an appropriate electricity matrix. These tend to ignore risk what could lead to miscalculations on the expected cost of electricity production. In this work we implemented two methods, economic dispatch and CVaR minimization, to address risk and formulate a suitable portfolio for the Brazilian electricity matrix. We found that to minimize the risk in case of extreme fuel price events, our model allocated the Brazilian electricity expansion primarily in wind and biomass energy. This largely coincides with other works that analyze this problem from other perspectives. Our results show that it is possible to minimize risk while at the same time following green energy initiatives that are needed in modern day electricity planning. Keywords: Portfolio Theory. Optimization. CVaR. Economic Dispatch. Electric Energy. Fossil Fuels. Electricity sector. Risk.

Degree

thesis:*
Grantor dc:publisher
Universidade Federal de Viçosa
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Durigon, Angelo Lucio Freitas
Advisor dc:contributor.advisor
  • Trotter, Ian Michael

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Acesso Aberto
Language dc:language.iso
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:locus.ufv.br:123456789/32763

Chain of custody

source
Harvested from
Brazil UFV
Base URL
locus.ufv.br/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Durigon, Angelo Lucio Freitas. Power system planning: an integrated techno-economic and portfolio approach. Universidade Federal de Viçosa, 2024. https://locus.ufv.br/handle/123456789/32763