Medium-Term Operational Planning for Hydrothermal Systems

Raphael E. C. Gonçalves (), Michel Gendreau () and Erlon Cristian Finardi ()
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Raphael E. C. Gonçalves: Université de Montréal
Michel Gendreau: Université de Montréal
Erlon Cristian Finardi: Universidade Federal de Santa Catarina - UFSC

Chapter Chapter 6 in Handbook of Risk Management in Energy Production and Trading, 2013, pp 129-155 from Springer

Abstract: Abstract The planning of operations of hydrothermal systems is, in general, divided into coordinated steps which focus on distinct modeling details of the system for different planning horizons. The medium-term operation planning (MTOP) problem, one of the operation planning steps and the focus of this chapter, aims at defining weekly generation for each power plant with the minimum expected operational cost over a specific planning horizon, with regard especially to the uncertainties related to reservoir inflows. Consequently, it is modeled as a stochastic problem and solving it requires the use of multistage stochastic optimization algorithms. In this sense, the objective of this chapter is to discuss the problem features, its particularities, and its importance in the overall operational planning. The stochastic methods usually used to solve this problem and some applications are also presented.

Keywords: Scenario Tree; Bender Decomposition; Stochastic Problem; Stochastic Programming Problem; Stochastic Optimization Problem (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-1-4614-9035-7_6

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