Sequential heuristic optimisation of a real offshore wind farm site considering turbine placement and cable layout

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Abstract

Competition within the energy generation industry provides an incentive for developers to build offshore wind farms with a low levelised cost of energy. Therefore, there is a need for design optimisation to reduce costs and increase energy capture. A sequential approach to optimise turbine placement and cable layout is presented, using a heuristic k-opt algorithm and mixed-integer linear programming respectively. Energy storage is considered as a means to further improve the cable selection process. A case study is carried out on the Lillgrund offshore wind farm and the resulting layout improves energy capture by 6%. Cable costs are increased but the electrical losses are reduced such that there is an overall saving over the project lifetime of 20%. Energy storage as a means to peak shave the power seen by a cable in order to reduce electrical losses or de-rate a cable section was found to be impractically large and not profitable.
Future work will consider secondary revenue streams to remedy this.
Original languageEnglish
Article number012024
Number of pages10
JournalJournal of Physics: Conference Series
Volume1669
DOIs
Publication statusPublished - 26 Oct 2020

Keywords

  • wind energy
  • offshore wind farms
  • optimisation
  • energy storage

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