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Hybrid Adaptive Robust Optimization Models

In: Robust Optimization in Electric Energy Systems

Author

Listed:
  • Xu Andy Sun

    (Massachusetts Institute of Technology)

  • Antonio J. Conejo

    (The Ohio State University)

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.

Suggested Citation

  • Xu Andy Sun & Antonio J. Conejo, 2021. "Hybrid Adaptive Robust Optimization Models," International Series in Operations Research & Management Science, in: Robust Optimization in Electric Energy Systems, chapter 0, pages 205-238, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-85128-6_5
    DOI: 10.1007/978-3-030-85128-6_5
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