Abstract
| Original language | English |
|---|---|
| Journal | Networks |
| Volume | 72 |
| Issue number | 1 |
| Pages (from-to) | 42-59 |
| Number of pages | 18 |
| ISSN | 0028-3045 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- Computational analysis
- Mixed-integer linear programming
- Network models
- Wind farm optimization
Cite this
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Optimal wind farm cable routing: Modeling branches and offshore transformer modules. / Fischetti, Martina; Pisinger, David.
In: Networks, Vol. 72, No. 1, 2018, p. 42-59.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Optimal wind farm cable routing: Modeling branches and offshore transformer modules
AU - Fischetti, Martina
AU - Pisinger, David
PY - 2018
Y1 - 2018
N2 - Many EU countries aim at reducing fossil fuels in the near future, hence an efficient production of green energy is very important to reach this goal. In this article, we address the optimization of cable connections between turbines in an offshore wind park. Different versions of the problem have been studied in the recent literature. As turbines are becoming still more customized, it is important to be able to evaluate the impact of new technologies with a flexible optimization tool for scenario evaluation. In a previous joint project with Vattenfall BA Wind (a global leader in energy production) we have studied and modeled the main constraints arising in practical cases. Building on that model, in the present article, we address new technological features that have been recently proposed by Vattenfall's experts. We show how some new features can be modeled and solved using a Mixed-Integer Linear Programming paradigm. We report and discuss computational results on the performance of our new models on a set of real-world instances provided by Vattenfall.
AB - Many EU countries aim at reducing fossil fuels in the near future, hence an efficient production of green energy is very important to reach this goal. In this article, we address the optimization of cable connections between turbines in an offshore wind park. Different versions of the problem have been studied in the recent literature. As turbines are becoming still more customized, it is important to be able to evaluate the impact of new technologies with a flexible optimization tool for scenario evaluation. In a previous joint project with Vattenfall BA Wind (a global leader in energy production) we have studied and modeled the main constraints arising in practical cases. Building on that model, in the present article, we address new technological features that have been recently proposed by Vattenfall's experts. We show how some new features can be modeled and solved using a Mixed-Integer Linear Programming paradigm. We report and discuss computational results on the performance of our new models on a set of real-world instances provided by Vattenfall.
KW - Computational analysis
KW - Mixed-integer linear programming
KW - Network models
KW - Wind farm optimization
U2 - 10.1002/net.21804
DO - 10.1002/net.21804
M3 - Journal article
VL - 72
SP - 42
EP - 59
JO - Networks
JF - Networks
SN - 0028-3045
IS - 1
ER -