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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Street, A. Barroso, L.A. Flach, B. Pereira, M.V. Granville, S. |
| Copyright Year | 1969 |
| Abstract | Renewable sources have recently emerged as a generation option for many countries in order to promote clean energy development. In the case of Brazil, small hydro plants and cogeneration from sugarcane waste (bagasse) have been attractive alternatives during the past years, with hundreds of MW installed since 2004. Despite their advantages, both alternatives are hindered by seasonal yet complementary availability. This forces producers to discount (or price) the risks faced when selling firm energy contracts and may ultimately lead to projects being commercially unattractive. We propose a stochastic optimization model that defines the optimal composition of a portfolio based on these two renewable sources in order to maximize the revenue of an energy trading company. At the same time, this model mitigates hydrological and fuel unavailability risks, thus allowing the participation of both sources in the forward market environment in a competitive manner. A case study is presented, based on data from the Brazilian system. |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 1136 |
| Ending Page | 1144 |
| Page Count | 9 |
| File Size | 743989 |
| File Format | |
| ISSN | 08858950 |
| Volume Number | 24 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Portfolios Electricity supply industry Wind energy generation Wind energy Power generation Stochastic processes Brazil Council Production Cogeneration Contracts stochastic programming Energy trading portfolio selection renewable generation risk management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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