Bus-Angle Difference Structural Cuts for Transmission System Expansion Planning with L-l Reliability

Laura M. Escobar, Adolfo R. Escobedo, David Escobar, Ruben Romero

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

1 Scopus citations

Abstract

This paper presents a methodology to solve the long-term transmission network expansion planning problem considering L-l reliability. The methodology supplements an underlying mixed-integer linear programming formulation with cutting planes derived from structural insights of bus-angle differences involving buses connected by paths of existing and/or expansion lines. The addition of these cutting planes expedites the solution process by yielding tighter relaxation bounds within a branch-and-cut framework, thereby reducing computational times and memory requirements. In order to solve the resulting problems, this work uses the AMPL modeling language interfaced with the CPLEX mathematical programming solver. The practicality of the methodology is tested via the Southern Brazilian System, yielding very promising results.

Original languageEnglish (US)
Title of host publication2018 IEEE Electrical Power and Energy Conference, EPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538654194
DOIs
StatePublished - Dec 31 2018
Event2018 IEEE Electrical Power and Energy Conference, EPEC 2018 - Toronto, Canada
Duration: Oct 10 2018Oct 11 2018

Publication series

Name2018 IEEE Electrical Power and Energy Conference, EPEC 2018

Conference

Conference2018 IEEE Electrical Power and Energy Conference, EPEC 2018
CountryCanada
CityToronto
Period10/10/1810/11/18

Keywords

  • branch-and-cut
  • mathematical modeling
  • mixed-integer linear programming
  • transmission expansion planning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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