A graph-theoretic approach for addressing trenching constraints in wind farm collector system design

Sudipta Dutta, Thomas J Overbye

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

Abstract

This paper addresses the topic of automatically computing cable layout designs of large scale wind farms. A network of cables in a wind farm's electrical collector system collects power generated by turbines and brings to the wind farm substation. Frequently, sections of the land area of a large wind farm are restricted for excavating and burying these cables, i.e. trenching. Such restrictions might arise from the landowners, presence of water bodies etc. It is important to take into consideration these real-life constraints in the process of automating designs of optimal wind farm electrical collector systems. This paper presents a graph-theory based methodology for addressing these trenching constraints in optimal collector system designs. The developed methodology has been tested on a real-life large wind farm.

Original languageEnglish (US)
Title of host publication2013 IEEE Power and Energy Conference at Illinois, PECI 2013
Pages48-52
Number of pages5
DOIs
StatePublished - May 21 2013
Event2013 IEEE Power and Energy Conference at Illinois, PECI 2013 - Champaign, IL, United States
Duration: Feb 22 2013Feb 23 2013

Publication series

Name2013 IEEE Power and Energy Conference at Illinois, PECI 2013

Other

Other2013 IEEE Power and Energy Conference at Illinois, PECI 2013
CountryUnited States
CityChampaign, IL
Period2/22/132/23/13

    Fingerprint

Keywords

  • convex hull
  • design automation
  • spanning trees
  • trenching constraints
  • wind farm collector system

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Dutta, S., & Overbye, T. J. (2013). A graph-theoretic approach for addressing trenching constraints in wind farm collector system design. In 2013 IEEE Power and Energy Conference at Illinois, PECI 2013 (pp. 48-52). [6506033] (2013 IEEE Power and Energy Conference at Illinois, PECI 2013). https://doi.org/10.1109/PECI.2013.6506033