Overview Statistic: PDF-Downloads (blue) and Frontdoor-Views (gray)

An efficient solver for multi-objective onshore wind farm siting and network integration

Please always quote using this URN: urn:nbn:de:0297-zib-90590
  • Existing planning approaches for onshore wind farm siting and network integration often do not meet minimum cost solutions or social and environmental considerations. In this paper, we develop an approach for the multi-objective optimization of turbine locations and their network connection using a Quota Steiner tree problem. Applying a novel transformation on a known directed cut formulation, reduction techniques, and heuristics, we design an exact solver that makes large problem instances solvable and outperforms generic MIP solvers. Although our case studies in selected regions of Germany show large trade-offs between the objective criteria of cost and landscape impact, small burdens on one criterion can significantly improve the other criteria. In addition, we demonstrate that contrary to many approaches for exclusive turbine siting, network integration must be simultaneously optimized in order to avoid excessive costs or landscape impacts in the course of a wind farm project. Our novel problem formulation and the developed solver can assist planners in decision making and help optimize wind farms in large regions in the future.

Download full text files

Export metadata

Author:Jaap PedersenORCiD, Jann Michael WeinandORCiD, Chloi SyranidouORCiD, Daniel RehfeldtORCiD
Document Type:ZIB-Report
Date of first Publication:2023/04/19
Series (Serial Number):ZIB-Report (23-10)
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Accept ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.