Abstract
The present work proposes an approach based on the application of the robust optimization technique named column-and-constraint generation (C&CG), for solving the problem of energy planning comprising the minimization of the thermoelectric dispatch cost during a daily operation of a system with wind and hydraulic generation. In order to define the hourly dispatch of thermoelectric generation, the approach considers a history of flow for the hydraulic generation, as well as uncertainties over the wind behavior in the wind power plant. Thus, the short-term energy planning is defined by taking into account the wind stochastic through the concept of uncertainties. As solving proposal, linear programming with a robust optimization (RO) mathematical technique through the C&CG algorithm is used. This method is applied to divide the global problem into wind speed uncertainties scenarios.
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The authors would like to thank CNPq, CAPES, FAPEMIG and INERGE for supporting this research.
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Ferreira, S.C.d.A., Carvalho, J.d.S., de Oliveira, L.W., Araújo, T.L.O., de Oliveira, E.J., Souza, M.B.A. (2017). Application of Robust Optimization Technique to the Energy Planning Problem. In: Oliveira, E., Gama, J., Vale, Z., Lopes Cardoso, H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science(), vol 10423. Springer, Cham. https://doi.org/10.1007/978-3-319-65340-2_20
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DOI: https://doi.org/10.1007/978-3-319-65340-2_20
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