A two-stage robust transmission expansion planning approach with multi-band uncertainty set

Chenxi Dai, Lei Wu

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

7 Scopus citations

Abstract

This paper proposes a robust optimization method for the transmission expansion planning (TEP) while considering uncertainties of renewable energy and load via a multi-band uncertainty set formulation. In order to handle future uncertainty from renewable energy integration and demand fluctuation, robust optimization has been studied extensively to immune the transmission expansion plan against the worst uncertainty realization. However, the traditional single-band robust model yields overly conservative and economic inefficient solution. The proposed multi-band model, with higher resolution among multiple narrower bands, can model the uncertainty set more accurately with historical information and mitigate solution conservativeness. Considering the two-stage structure, a solution procedure by combining Benders decomposition (BD) and Karush-Kuhn-Tucker (KKT) condition is proposed for solving the robust optimization based TEP problem. Numerical studies verify the effectiveness of the proposed robust TEP approach for enhancing uncertainty modeling capabilities and mitigating the conservativeness of robust TEP solution.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting, PESGM 2016
ISBN (Electronic)9781509041688
DOIs
StatePublished - 10 Nov 2016
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: 17 Jul 201621 Jul 2016

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2016-November
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/TerritoryUnited States
CityBoston
Period17/07/1621/07/16

Keywords

  • Benders decomposition
  • Multi-band uncertainty set
  • Robust optimization
  • Transmission expansion planning

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