Assessing the impact of wind variability on the long-term operation of a hydro-dominated system

Jose L. Morillo, Juan F. Perez, Luckny Zephyr, C. Lindsay Anderson, Angela Cadena

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Hydro-dominated systems are characterized by uncertainty on the inflows to the reservoirs. Driven by both technological advances and environmental awareness, the share of renewables in the energy production mix has been increasing over the past decades. However, due to their intermittent nature, the integration of renewables entails additional uncertainty, which may negatively impact the operation of the system if the overall risk is not properly appraised. This work analyzes the impact of short-term wind variability on the long-term operation of a hydro-dominated power system based upon two risk measure approaches, namely (i) chance constrained programming, and (ii) conditional value-at-risk. Both approaches are formulated under the framework of stochastic dual dynamic programming. The proposals are tested on a portion of the Colombian power system, in the presence of wind energy and storage units.

Original languageEnglish (US)
Title of host publication2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538619537
DOIs
StatePublished - Jul 1 2017
Event2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Torino, Italy
Duration: Sep 26 2017Sep 29 2017

Publication series

Name2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
CountryItaly
CityTorino
Period9/26/179/29/17

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Computer Networks and Communications

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