Considering Forward Electricity Prices for a Hydro Power Plant Risk Analysis in the Brazilian Electricity Market

dc.contributor.author Lauro,A en
dc.contributor.author Kitamura,D en
dc.contributor.author Lima,W en
dc.contributor.author Dias,B en
dc.contributor.author Tiago André Soares en
dc.contributor.other 6611 en
dc.date.accessioned 2023-05-08T08:26:44Z
dc.date.available 2023-05-08T08:26:44Z
dc.date.issued 2023 en
dc.description.abstract <jats:p>The Brazilian Power System is mainly composed of renewable generation from hydroelectric and wind. Hence, spot and forward electricity prices tend to represent the inherently stochastic nature of these resources, while risk management is a measure taken by agents, especially hydro power plants (HPPs) to hedge against deep financial losses. A HPP goal is to maximize its profit considering uncertainties in forward electricity prices, spot prices, and generation scaling factor (GSF) for years ahead. Therefore, the objective of this work is to simulate the real decision-making process of a HPP, where they need to have a perspective of the forward market and future spot price assessment to negotiate forward electricity contracts. To do so, the present work models the uncertainty in electricity forward prices via two-stage stochastic programming, assessing the benefits of the stochastic solution in comparison to the deterministic one. In addition, different risk aversion levels are assessed using conditional value at risk (CVaR). An important conclusion is that the results show that the greater the HPP risk aversion is, the greater the energy selling via electricity forward contracts. Moreover, the proposed model has benefits in comparison to a deterministic approach.</jats:p> en
dc.identifier P-00X-SV6 en
dc.identifier.uri http://dx.doi.org/10.3390/en16031173 en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/13919
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Considering Forward Electricity Prices for a Hydro Power Plant Risk Analysis in the Brazilian Electricity Market en
dc.type en
dc.type Publication en
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