About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Ahead of Print article · Journal article

Global Optimization of Offshore Wind Farm Collection Systems

From

Integration & Planning, Department of Wind Energy, Technical University of Denmark1

Department of Wind Energy, Technical University of Denmark2

Wind turbine loads & control, Department of Wind Energy, Technical University of Denmark3

A mathematical program for global optimization of the cable layout of Offshore Wind Farms (OWFs) is presented. The model consists on a Mixed Integer Linear Program (MILP). Modern branch-and-cut solvers are able to solve large-scale instances, defined by more than hundred Wind Turbines (WTs), and a reasonable number of Offshore Substations (OSSs).

In addition to the MILP model to optimize total cable length or initial investment, a pre-processing strategy is proposed in order to incorporate total electrical power losses into the objective function. High fidelity models are adapted to calculate cables current capacities, spatial currents. The MILP model is embedded in an iterative algorithmic framework, solving a sequence of problems with increasing search space size.

The search space is defined as a set of underlying candidate arcs. The applicability of the method is illustrated through 10 case studies of real-world large-scale wind farms. Results show that: (i) feasible points are obtained in seconds, (ii) points with an imposed maximum tolerance near the global optimum are calculated in a reasonable computational time in the order of hours, and (iii) the proposed method compares favorably against state-of-the-art method available in literature.

Language: English
Publisher: IEEE
Year: 2020
Pages: 2256-2267
ISSN: 15580679 and 08858950
Types: Ahead of Print article and Journal article
DOI: 10.1109/tpwrs.2019.2957312
ORCIDs: Pérez-Rúa, Juan-Andrés , Stolpe, Mathias , Das, Kaushik and Cutululis, Nicolaos Antonio

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis