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An assessment of the impact of stochastic day-ahead SCUC on economic and reliability metrics at multiple timescales

  • Hongyu Wu
  • , Erik Ela
  • , Ibrahim Krad
  • , Anthony Florita
  • , Jie Zhang
  • , Bri Mathias Hodge
  • , Eduardo Ibanez
  • , Wenzhong Gao
  • National Renewable Energy Laboratory
  • University of Denver

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

5 Citations (Scopus)

Abstract

This paper incorporates the stochastic day-ahead security-constrained unit commitment (DASCUC) within a multi-timescale, multi-scheduling application with commitment, dispatch, and automatic generation control. The stochastic DASCUC is solved using a progressive hedging algorithm with constrained ordinal optimization to accelerate the individual scenario solution. Sensitivity studies are performed in the RTS-96 system, and the results show how this new scheduling application would impact costs and reliability with a closer representation of timescales of system operations in practice.

Original languageEnglish
Title of host publication2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PublisherIEEE Computer Society
ISBN (Electronic)9781467380409
DOIs
Publication statusPublished - 30 Sept 2015
Externally publishedYes
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: 26 Jul 201530 Jul 2015

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2015-September
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

ConferenceIEEE Power and Energy Society General Meeting, PESGM 2015
Country/TerritoryUnited States
CityDenver
Period26/07/1530/07/15

Keywords

  • Area control error
  • multiple timescales
  • progressive hedging
  • security-constrained unit commitment
  • stochastic optimization

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