Suryanto, Indra Dwi and Setyonegoro, Isnaeni Bambang and Putranto, Lesnanto Multa and Irnawan, Roni (2025) Optimal Design of the Cable Layout in a Wind Farm Using Modified Prime Algorithm. In: 2025 4th International Conference on Electronics Representation and Algorithm (ICERA), 12-12 June 2025, Yogyakarta, Indonesia.
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Abstract
The optimization of cable routing in mediumvoltage networks is a crucial factor in improving the efficiency and cost-effectiveness of wind farm development. This paper proposes a modified Prim's Algorithm that incorporates topographical constraints and introduces intermediate splice nodes to optimize cable layout between wind turbines and substations. Using a graph-based approach, the algorithm avoids restricted areas and calculates the shortest feasible cable routes. Simulations conducted under various wind turbine configurations show that the modified algorithm reduces total cable length and improves network connectivity compared to conventional methods. The results highlight the potential of the proposed method for enhancing energy distribution efficiency and reliability in renewable energy systems. This approach is adaptable to other renewable infrastructures such as solar power networks and microgrids, supporting global efforts toward sustainable energy solutions. © 2025 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0 |
| Uncontrolled Keywords: | Cables; Cost effectiveness; Electric utilities; Energy efficiency; Graph algorithms; Graphic methods; Optimization; Routing algorithms; Solar energy; Wind turbines; Cable routing; Graph-based; Medium voltage; Optimal design; Optimisations; Path constraint; Prim's algorithm; Splice node; Wind farm; Wind farm development; Wind power |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Electrical and Information Technology Department |
| Depositing User: | Rita Yulianti Yulianti |
| Date Deposited: | 25 Jun 2026 01:27 |
| Last Modified: | 25 Jun 2026 01:27 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/24866 |
