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Solar farm cable layout optimization as a graph problem
- Source :
- Energy Informatics, Vol 5, Iss S1, Pp 1-20 (2022)
- Publication Year :
- 2022
- Publisher :
- SpringerOpen, 2022.
-
Abstract
- Abstract We introduce the Solar Farm Cable Layout Problem (SoFaCLaP), a novel graph-theoretic optimization problem. SoFaCLaP formalizes the task of finding a cost-optimal cable layout in a solar farm where PV string positions are already determined but the positions of other components such as transformers can be picked from a set of candidate positions. The problem statement incorporates a network flow model in which the flow value of a connection represents the number of strings that are (indirectly) connected to a transformer via this connection. A mixed-integer linear program (MILP) formulation is proposed that uses binary variables to indicate which of several available cable types is chosen for each connection. We propose a framework to randomly generate benchmark instances to evaluate any algorithmic approach to SoFaCLaP. In particular, we generate a set of instances based on real-world solar farm characteristics. With an extensive evaluation of the MILP formulation on those instances we establish mixed-integer linear programming as a baseline for future algorithmic approaches to finding solar farm cable layouts.
Details
- Language :
- English
- ISSN :
- 25208942
- Volume :
- 5
- Issue :
- S1
- Database :
- Directory of Open Access Journals
- Journal :
- Energy Informatics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.445c1af59ac64c5684164ce6a4df05bd
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s42162-022-00200-z