An evaluation of algorithms to solve for do-not-exceed limits for renewable resources

Shaobo Zhang, Nikita G. Singhal, Kory Hedman, Vijay Vittal, Junshan Zhang

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

1 Scopus citations

Abstract

As power systems become more reliant on intermittent resources, system operators are faced with the fact that the availability of intermittent resources is beyond human control and largely unpredictable. Due to the lack of compliance from intermittent resources to follow strict dispatch instructions, the dispatch instruction for an intermittent resource is proposed to be a desired dispatch range or a do-not-exceed (DNE) limit. In this paper, a two-stage robust optimization problem determines the DNE limits, which define the region where the system is guaranteed to reliably handle any wind realization within the specified DNE limit range. Two algorithms are implemented in this paper, each of which can handle the bilinear sub-problem in this two-stage problem. The results show that local search algorithms do not perform well when compared to a big-M based MILP reformulation. All numerical results are based on the IEEE-118 bus test system.

Original languageEnglish (US)
Title of host publicationProceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
EditorsTung X. Bui, Ralph H. Sprague
PublisherIEEE Computer Society
Pages2567-2576
Number of pages10
ISBN (Electronic)9781479973675
DOIs
StatePublished - Mar 26 2015
Event48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, United States
Duration: Jan 5 2015Jan 8 2015

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2015-March
ISSN (Print)1530-1605

Other

Other48th Annual Hawaii International Conference on System Sciences, HICSS 2015
Country/TerritoryUnited States
CityKauai
Period1/5/151/8/15

Keywords

  • Do not exceed limits
  • Operations research
  • Power system economics
  • Power system optimization
  • Power system reliability
  • Renewable integration
  • Robust optimization

ASJC Scopus subject areas

  • General Engineering

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