Stochasticity in Electric Energy Systems Planning

A. Ramos, S. Cerisola, Á. Baíllo and J. M. Latorre
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A. Ramos: Universidad Pontificia Comillas
S. Cerisola: Universidad Pontificia Comillas
Á. Baíllo: Universidad Pontificia Comillas
J. M. Latorre: Universidad Pontificia Comillas

A chapter in Coping with Uncertainty, 2006, pp 217-239 from Springer

Abstract: Abstract Electric energy systems have always been a continuous source of applications of planning under uncertainty. Stochastic parameters that may strongly affect the electric system are demand, natural hydro inflows and fuel prices, among others. A review of some estimation methods used to approximate those parameters is presented. Reliability and stochastic optimisation are widespread techniques used to incorporate random parameters in the decision-making process in electric companies. A unit commitment, a market-based unit commitment, a hydrothermal coordination and a risk management model are typical models that can incorporate uncertainty in the decision framework.

Keywords: Scenario Tree; Unit Commitment; Load Forecast; Stochastic Parameter; Independent System Operator (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-35262-4_13

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DOI: 10.1007/3-540-35262-7_13

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