Sequential heuristic optimisation of a real offshore wind farm site considering turbine placement and cable layout. (October 2020)

• Record Type: Journal Article
• Authors: Taylor, Peter; Campos-Gaona, D; Yue, H; Anaya-Lara, O; Jia, C; Ng, C
• Is Part Of: Journal of physics. Volume 1669(2020)
• Publication Date: 2020-10
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1669/1/012024
• Languages: English
• ISSNs: 1742-6588

Abstract

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.