DocumentCode
1837513
Title
A risk management model for trading electricity in the spot market and through bilateral contracts
Author
Ramos, Luis ; De Sousa, Jorge ; Silva, Tânia ; Jerónimo, Rui ; Lima, José Allen
Author_Institution
Dept. of Electr. Eng. & Autom., ISEL-Lisbon Eng. Super. Inst., Lisbon, Portugal
fYear
2010
fDate
23-25 June 2010
Firstpage
1
Lastpage
7
Abstract
This paper presents a model for evaluating the optimal strategy of a generation company (Genco) that trades electricity in a competitive market, where two possible energy transaction markets are considered: the spot market and the bilateral contract market. In this context, the Genco tries to maximize its profits and to minimize the corresponding risks by selecting the optimal balance between the two possible transaction markets (spot and bilateral). The risk considered has different sources, named risk factors, which are divided into two categories: price and volume risk factors. Numerical results are obtained using Monte Carlo simulation implemented in Matlab, which is applied to Genco that holds a diversified portfolio of generation technologies, for a time horizon of one year. The results show that the Genco can profitably take advantage of both bilateral contracts and spot market trades.
Keywords
Monte Carlo methods; contracts; power markets; risk management; Matlab; Monte Carlo simulation; bilateral contracts; competitive market; electricity trading; energy transaction markets; generation company; price risk factors; risk management model; spot market; volume risk factors; Cogeneration; Contracts; Fuels; Proposals; Bilateral contracts; Monte Carlo simulation; economic dispatch; efficient frontier; electricity markets; expected profit; hedging strategies; power systems economics; profit-at-risk; risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Market (EEM), 2010 7th International Conference on the European
Conference_Location
Madrid
Print_ISBN
978-1-4244-6838-6
Type
conf
DOI
10.1109/EEM.2010.5558701
Filename
5558701
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