Optimation of Design Cable Routing in Onshore Wind Farms Using K-Means Clustering Considering Restricted Area

The Indonesian government has committed to reducing the use of fossil fuels. Renewable energy sources (RES), especially windfarm is an alternative to support the government's commitment. However, replacing one conventional generator requires several wind turbines (WT). In constructing wind farms, it is necessary to design optimal cable routes to connect each WT. In this research, restricted areas were added into consideration to obtain the optimal design. This study aims to develop optimal cable routes in wind farm collector lines by minimizing the distance of cable and obtaining the lowest investment costs. The method used in this research is the minimum spanning tree and K-means clustering. The most optimal number of clusters is used as a consideration to obtain the lowest cable length and size. The results of this study obtained a cable routing model considering the selection number of cluster by reducing the cable length in the collecting system by 9.1 % and 14.1%. Meanwhile, considering restricted area increased the cable length by 1.89%.