Offshore Wind Farm Collection Cable Layout Optimization through Cost Minimization
collection system optimization, Genetic Algorithm, Offshore wind farm, Travelling Salesman Problem
51st North American Power Symposium, NAPS 2019
Offshore wind farms' annual energy yield is higher compared to their counterparts at onshore. However, their investment costs are also high due to high capital expenditure cost components such as offshore platform and turbine foundations. Optimally designed collection cable layout can help reduce the overall investment cost. This paper presents a collection cable layout optimization using Travelling Salesman Problem and Genetic Algorithm. The objective function is to reduce the cost of submarine collection cables and their power losses. Two different substation locations are considered for an offshore wind farm with 25 turbines to investigate the effect of different substation locations on the collection cable cost and cable power losses. In addition, the optimum number of feeders is identified together with right cable size (cross-section) for each feeder that minimizes the collection cable costs and power losses. Results show that collection cable costs can be minimized with the optimum cable layout.
Department of Applied Engineering and Technical Management
Original Publication Date
DOI of published version
UNI ScholarWorks, Rod Library, University of Northern Iowa
Tahery, Hamid and Kucuksari, Sadik, "Offshore Wind Farm Collection Cable Layout Optimization through Cost Minimization" (2019). Faculty Publications. 461.