Maulana, Dimas Rif’an and Irnawan, Roni and Setyonegoro, M. Isnaeni Bambang (2023) Optimation of Design Cable Routing in Onshore Wind Farms Using K-Means Clustering Considering Restricted Area. In: 2023 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), 2-3 October 2023, Jakarta, Indonesia.
Optimation_of_Design_Cable_Routing_in_Onshore_Wind_Farms_Using_K-Means_Clustering_Considering_Restricted_Area.pdf - Published Version
Restricted to Registered users only
Download (377kB) | Request a copy
Abstract
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%.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Library Dosen |
Uncontrolled Keywords: | optimation, k-means, onshore, windfarm, restricted area |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Electronics Engineering Department |
Depositing User: | Rita Yulianti Yulianti |
Date Deposited: | 14 Aug 2024 04:28 |
Last Modified: | 14 Aug 2024 04:28 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/86 |