This study proposes a novel angle-based partition design method to
optimize the collector system of offshore wind farms. It highlights the
importance of improving the reliability of the collector system while
reducing overall costs. By integrating the minimum spanning tree
algorithm with angle-based partition theory, this method minimizes
subsea cable lengths and reduces failure risks under constraints such as
the number of feeders, subsea cable current capacity, balanced feeder
power, and avoidance of cable crossings, thereby enhancing system
efficiency and reliability. A case study on a recent 1-GW offshore wind
farm in Guangdong, China, was used to validate the effectiveness of the
proposed method. A multi-criteria decision analysis approach was used to
evaluate the proposed method. The evaluation results showed that the
design scheme generated by the angle-based partition method performed
the best. This design scheme demonstrated a more balanced distribution
of turbines per feeder, with virtually no increase in subsea cable
length compared to traditional methods such as Improved Prim and
Angle-based K-means Clustering.