ISPRS Int. J. Geo-Inf. 2018, 7(7), 258; https://doi.org/10.3390/ijgi7070258
Multi-Objective Optimisation Based Planning of Power-Line Grid Expansions
Daniel Bachmann 1
, Fritz Bökler 1, Jakob Kopec 2, Kira Popp 2, Björn Schwarze 3 and Frank Weichert 1,*
, Fritz Bökler 1, Jakob Kopec 2, Kira Popp 2, Björn Schwarze 3 and Frank Weichert 1,*
1
Department of Computer Science, TU Dortmund University, 44227 Dortmund, Germany
2
Faculty of Spatial Planning, TU Dortmund University, 44227 Dortmund, Germany
3
Spiekermann & Wegener Urban and Regional Research (S&W), 44137 Dortmund, Germany
*
Author to whom correspondence should be addressed.
Received: 16 May 2018 / Revised: 15 June 2018 / Accepted: 24 June 2018 / Published: 29 June 2018
Abstract
German nuclear power phase out in 2022 leads to significant reconstruction of the energy transmission system. Thus, efficient identification of practical transmission routes with minimum impact on ecological and economical interests is of growing importance. Due to the sensitivity of Germany’s public to grid expansion (especially in case of overhead lines), the participation and planning process needs to provide a high degree of openness and accountability. Therefore, a new methodological approach for the computer-assisted finding of optimal power-line routes considering planning, ecological and economic decision criteria is presented. The approach is implemented in a tool-chain for the determination of transmission line routes (and sets of transmission line route alternatives) based on multi-criteria optimisation. Additionally, a decision support system, based on common Geographic Information Systems (GIS), consisting of interactive visualisation and exploration of the solution space is proposed. View Full-TextKeywords:
multi-objective optimisation; energy transmission; decision support; power-line routing; interactive visualisation
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Bachmann, D.; Bökler, F.; Kopec, J.; Popp, K.; Schwarze, B.; Weichert, F. Multi-Objective Optimisation Based Planning of Power-Line Grid Expansions. ISPRS Int. J. Geo-Inf. 2018, 7, 258.
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