Optimal Cable Design of Wind Farms:<?Pub _newline ?> The Infrastructure and Losses Cost Minimization Case

Cerveira, Adelaide; Sousa, Amaro de; Pires, E. J. Solteiro; Baptista, José

doi:10.1109/tpwrs.2016.2521700

Cited by 57 publications

(86 citation statements)

References 17 publications

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“…Note that the previously defined decision variables x ij and y k ij , do not include any information related to the cable type selected in a given arc. This is because the cable type selection process is handled in a pre-processing stage, given that all the required data is present, and the task is totally independent to any other part of the desired tree(s) [7]. This allows integrating more complex power flow and total electrical power losses models, increasing the accuracy without compromising the computational efficiency.…”

Section: A Cost Coefficientsmentioning

confidence: 99%

Global Optimization of Offshore Wind Farm Collection Systems

Pérez-Rúa

Stolpe

Das

et al. 2020

IEEE Trans. Power Syst.

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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, consisting in solving a sequence of problems with increasing size of the search space. 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 can quickly be obtained in minutes, (ii) points near the global optimum with an imposed maximum tolerance, are calculable in reasonable computational time in the order of hours, and (iii) the proposed method compares favorably against a state-of-the art method available in literature.

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Section: A Cost Coefficientsmentioning

confidence: 99%

Global Optimization of Offshore Wind Farm Collection Systems

Pérez-Rúa

Stolpe

Das

et al. 2020

IEEE Trans. Power Syst.

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“…Especially for offshore wind farms, 20% of total installation cost is resulted from cable and cable installation cost. Total cable cost is proportional with the length of total cables installed among turbines and transmitter [6][7][8][9][10]. The cable cost can be decreased in overall up to 10% by optimizing the cable layout problem [11].…”

Section: Literature Reviewmentioning

confidence: 99%

“…That's why, numerous studies to solve CL problem have used heuristic methods [13][14][15][16]. On the other hand, several studies are based on exact optimization models such as mixed integer linear programming (MILP) models [6,8,10,[17][18][19][20]. Hertz et al [8] included parallel cables in their study that can be installed in the same dug hole for onshore wind farms.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Selection and determination of the wind farm site, determination of turbine locations (TL) on the wind farm, designing electrical infrastructure and cable layout (CL) are the main design problems in the installation of an offshore wind farm [2,3,5,9,10,11]. TL and CL problems, in the literature, are solved in sequentially due to the difficulties in solving both the problems.…”

Section: Introductionmentioning

confidence: 99%

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A holistic approach for the optimization of offshore wind farm layouts considering cable layouts

Ülkü

Alabaş-Uslu

2019

E3S Web Conf.

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A wind farm, mainly, is composed of a set of turbines, one or more transmitters and a set of electrical cable connections between turbines and transmitters. Determination of turbine locations within the farm to maximize total power generation is called turbine location (TL) problem. Relative turbine positions affect the amount of overall energy because of wake effects. Determination of cable connections among turbines and transmitters to collect produced energy by turbines at transmitters is called cable layout (CL) problem. While TL problem is directly effective on the total energy production in the farm, CL problem indirectly affects the total energy due to the power losses. In the literature, TL and CL problems are solved sequentially where the layout found by solving of TL is used as an input of CL problem. To minimize wake effects in TL problem, distances between turbine pairs should be increased, however, as the distances are increased the cable cost increases in CL problem. A new mathematical model is developed to deal with simultaneously solving of TL and CL problems. A set of test instances are used to show the performance of the proposed model. The experiments show the practical use of the proposed holistic model.

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“…Due to the large number of constraints and the intrinsic complexity of the problem, many papers (including [8,15,20,21,25] among others) prefer to use ad-hoc heuristics. Just few articles from the literature use Mixed Integer Linear Programming (MILP) for cable routing; see, for example [2,3,6,7,9,17].…”

Section: Introductionmentioning

confidence: 99%

Optimal wind farm cable routing: Modeling branches and offshore transformer modules

Fischetti

Pisinger

2018

Networks

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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.

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Optimal Cable Design of Wind Farms: The Infrastructure and Losses Cost Minimization Case

Cited by 57 publications

References 17 publications

Global Optimization of Offshore Wind Farm Collection Systems

Global Optimization of Offshore Wind Farm Collection Systems

A holistic approach for the optimization of offshore wind farm layouts considering cable layouts

Optimal wind farm cable routing: Modeling branches and offshore transformer modules

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