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Dotta D.,Federal University of Santa Catarina | Chow J.H.,Rensselaer Polytechnic Institute | Vanfretti L.,KTH Royal Institute of Technology | Almas M.S.,KTH Royal Institute of Technology | Agostini M.N.,Plan4 Engineering
IEEE Power and Energy Society General Meeting | Year: 2013

The use of Phasor Measurement Unit (PMU) data in power system operation is of increasing importance. These data are currently used for real-time operation monitoring and off-line analysis. A good understanding of the phasor measurement process is essential for phasor quality analysis as well as for the design of advanced control and protection schemes. In this paper the main computational algorithms involved in the phasor measurement process are illustrated using a Matlab based PMU simulator. © 2013 IEEE. Source


de Matos V.L.,Plan4 Engineering | Sierra M.A.G.,Plan4 Engineering | Sierra M.A.G.,Federal University of Santa Catarina | Finardi E.C.,Federal University of Santa Catarina | And 3 more authors.
Computational Management Science | Year: 2014

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 6–24 months. © 2014, Springer-Verlag Berlin Heidelberg. Source

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