Portfolio optimization of hydroelectric assets subject to financial indicators

N. A. Iliadis, M. V.F. Pereira, S. Granville, R. M. Chabar, L. A. Barroso, M. Finger, P. A. Haldi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The objective of this article is to present a benchmarking of financial indicators implemented in hydroelectric stochastic risk management models. We present three model formulations using a tree approach for hydroelectric optimization using three procedures for financial risk control: Minimum Revenues (Rmin), Value-at-Risk (VaR) and Conditional VaR (CVaR). According to their properties and their formulation in each model we compare them theoretically based on two criteria: their adequacy for electricity portfolio optimization subject to risk constraints and the feasibility of their implementation inside the state of the art (SDDP) algorithm appropriate for large scale energy systems. Using numerical examples we verify the statements derived from the theoretical comparison.

Original languageEnglish
Title of host publication2007 IEEE Power Engineering Society General Meeting, PES
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Power Engineering Society General Meeting, PES - Tampa, FL, United States
Duration: 24 Jun 200728 Jun 2007

Publication series

Name2007 IEEE Power Engineering Society General Meeting, PES

Conference

Conference2007 IEEE Power Engineering Society General Meeting, PES
Country/TerritoryUnited States
CityTampa, FL
Period24/06/0728/06/07

Keywords

  • CVaR
  • Hydroelectric assets optimization
  • Portfolio and risk management
  • Stochastic dual dynamic programming
  • Stochastic optimization
  • VaR

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