caa a22 4500 606232885 CHVBK 20210128101229.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10287-014-0208-8 doi (NATIONALLICENCE)springer-10.1007/s10287-014-0208-8 Stochastic model for energy commercialisation of small hydro plants in the Brazilian energy market [Elektronische Daten] [Vitor de Matos, Mauro Sierra, Erlon Finardi, Brigida Decker, André Milanezi] This paper presents a stochastic model for energy commercialisation strategies of small hydro plants (SHPs) in the Brazilian electricity market. The model aims to find the maximum expected revenue of the generation company, considering the main energy market regulations in Brazil, such as the penalty for insufficient energy certificates, the seasonality of energy certificates and the stochastic processes of future energy prices and plant generation. The problem is formulated as a multi-stage linear stochastic programming model, where the stochastic variables are the energy future prices, the system hydro generation and the SHP generation in the portfolio. Because of the large number of time steps in this model, methods with sampling strategies are necessary to identify a good solution. Therefore, we apply the Stochastic Dual Dynamic Programming algorithm. A case example is presented to analyse certain results of the model, which considers a generator company with a set of SHPs that can sell energy through contracts with periods of 6-24months. Springer-Verlag Berlin Heidelberg, 2014 Brazilian energy market nationallicence Small hydro power plants nationallicence Stochastic programming nationallicence Stochastic dual dynamic programming nationallicence de Matos Vitor Plan4 Engenharia, Rua Lauro Linhares, 2055, sala 707, Torre Max-Trindade, 88036-003, Florianópolis, SC, Brazil aut Sierra Mauro Plan4 Engenharia, Rua Lauro Linhares, 2055, sala 707, Torre Max-Trindade, 88036-003, Florianópolis, SC, Brazil aut Finardi Erlon LabPlan/Universidade Federal de Santa Catarina, Campus Universitário UFSC-CTC-EEL, Trindade, P.O. Box 476, 88040-900, Florianópolis, SC, Brazil aut Decker Brigida Plan4 Engenharia, Rua Lauro Linhares, 2055, sala 707, Torre Max-Trindade, 88036-003, Florianópolis, SC, Brazil aut Milanezi André CELESC, Av. Itamarati, 160-Blocos A1, B1 e B2-Itacorubi, 88034-900, Florianópolis, SC, Brazil aut Computational Management Science Springer Berlin Heidelberg 12/1(2015-01-01), 111-127 1619-697X 12:1<111 2015 12 10287 https://doi.org/10.1007/s10287-014-0208-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10287-014-0208-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- de Matos Vitor Plan4 Engenharia, Rua Lauro Linhares, 2055, sala 707, Torre Max-Trindade, 88036-003, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- Sierra Mauro Plan4 Engenharia, Rua Lauro Linhares, 2055, sala 707, Torre Max-Trindade, 88036-003, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- Finardi Erlon LabPlan/Universidade Federal de Santa Catarina, Campus Universitário UFSC-CTC-EEL, Trindade, P.O. Box 476, 88040-900, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- Decker Brigida Plan4 Engenharia, Rua Lauro Linhares, 2055, sala 707, Torre Max-Trindade, 88036-003, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- Milanezi André CELESC, Av. Itamarati, 160-Blocos A1, B1 e B2-Itacorubi, 88034-900, Florianópolis, SC, Brazil aut NATIONALLICENCE 773 0- Computational Management Science Springer Berlin Heidelberg 12/1(2015-01-01), 111-127 1619-697X 12:1<111 2015 12 10287