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Multi-objective transmission expansion planning considering uncertainty in wind power and demand

  • Carlos Adrian Correa-Florez
  • , Alejandro Sanchez Salcedo
  • , Andres Felipe Panesso

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

2 Scopus citations

Abstract

This paper presents a multi-objective methodology for the Transmission Expansion Planning (TEP) problem when uncertainty in demand and large wind generation is considered. The proposed scheme is based on Reduced Scenario Methodology (RSM) to represent the uncertainty set. An enhanced NSGA-II multi-objective algorithm is used to minimize expansion costs and wind power curtailment, so that a set of Pareto optimal expansion plans are obtained. The performance of the expansion plans is evaluated and compared with previous work to demonstrate the robustness of the proposed approach. Test are carried out on Garver and the IEEE 24-bus RTS systems.

Original languageEnglish
Title of host publication2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509028757
DOIs
StatePublished - 04 Jan 2017
Externally publishedYes
Event2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016 - Morelia, Mexico
Duration: 20 Sep 201624 Sep 2016

Publication series

Name2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016

Conference

Conference2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016
Country/TerritoryMexico
CityMorelia
Period20/09/1624/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Multi-objective optimization
  • Robust expansion plans
  • Transmission planning
  • Uncertainty
  • Wind generation

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