A Decision Support Model for Weekly Operation of Hydrothermal Systems by Stochastic Nonlinear Optimization

Andres Ramos (), Santiago Cerisola (), Jesus M. Latorre (), Rafael Bellido (), Alejandro Perea () and Elena Lopez ()
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Andres Ramos: Universidad Pontificia Comillas
Santiago Cerisola: Universidad Pontificia Comillas
Jesus M. Latorre: Universidad Pontificia Comillas
Rafael Bellido: Iberdrola
Alejandro Perea: Iberdrola
Elena Lopez: Iberdrola

Chapter Chapter 7 in Stochastic Optimization Methods in Finance and Energy, 2011, pp 143-161 from Springer

Abstract: Abstract This chapter formulates and solves an optimal resource allocation problem of thermal and hydropower plants with multiple basins and multiple connected reservoirs. The stochastic factors of the problem are here represented by natural hydro inflows. A multivariate scenario tree is in this case obtained taking into account the stochastic inputs and their spatial and temporal dependencies. The hydropower plant efficiency depends on its water head and the reservoir volume depends nonlinearly on the headwater elevation, leading to a large-scale stochastic nonlinear optimization problem, whose formulation and solution are detailed in the case study. An analysis of exhaustive alternatives of computer implementation is also discussed.

Keywords: Medium-term hydrothermal scheduling; Nonlinear optimization; Water head; Stochastic optimization; Scenario tree; Cost minimization; Hydro reservoirs (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-1-4419-9586-5_7

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