Turbine layout optimisation for large‐scale offshore wind farms–A grid‐based method

• DOI: 10.1049/rpg2.12295
• Publication Date: 2021-10-02T14:56:26Z
• Authors: Peter Taylor; Hong Yue; David Campos‐Gaona; Olimpo Anaya‐Lara; Chunjiang Jia
• Keywords: Electrical engineering. Electronics Nuclear engineering; Power system planning and layout; TK; Wind power plants; Optimisation techniques; TJ807-830; Power system management, operation and economics; 02 engineering and technology; 7. Clean energy; Renewable energy sources; 620; 0202 electrical engineering, electronic engineering, information engineering

Abstract This study presents a new turbine layout optimisation approach using grid‐based problem formulation for improved design performance and computational efficiency industrial‐scale applications. A particle swarm algorithm is employed in the wind optimisation, which micro‐siting function proposed to allow solutions 50 m of deviation while maximising energy capture without compromising maritime navigation or search rescue operations. Solutions are assessed by farm model, comprising Larsen wake multiple effect summation method, rotor‐effective speed calculation. novel look‐up populated on‐the‐fly used reduce number model evaluations approximately 95%. gigawatt scale hypothetical site presented test on realistically complex scenario. set generated compared empirical designs, with outperforming 7.55% average, terms net‐present‐value minus capital cost turbines. The numerical effectiveness examined further improvements discussed.