Hybrid Adaptive Robust Optimization Models
Xu Andy Sun and
Antonio J. Conejo
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Xu Andy Sun: Massachusetts Institute of Technology
Antonio J. Conejo: The Ohio State University
Chapter Chapter 5 in Robust Optimization in Electric Energy Systems, 2021, pp 205-238 from Springer
Abstract:
Abstract This chapter provides a detailed description of Adaptive Robust Optimization (ARO) models that involve uncertainties of different nature, specifically, long-term uncertainty, such as that pertaining to electricity demand growth from year to year, and short-term uncertainty, such as that pertaining to weather-dependent renewable production throughout the hours of a day. Short- and long-term uncertainty are described first. The Adaptive Robust Optimization Stochastic Optimization (ARSO) model introduced in Chap. 1 is then expanded and further analyzed. Next, solution techniques for such model are described. Finally, a realistic ARSO model for the expansion of the transmission network of an electric energy system is described and discussed.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-85128-6_5
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DOI: 10.1007/978-3-030-85128-6_5
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