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

Fischetti, Martina; Pisinger, David

doi:10.1002/net.21804

Cited by 27 publications

(32 citation statements)

References 20 publications

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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%

“…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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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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 cyclic cable layout, also referred to as a closed-loop structure (Fischetti and Pisinger 2018b), entails higher construction costs of the wind farm, but can compensate financially in terms of improved reliability. In the case of a cable failure, the repair process may be time consuming because specialized vessels and crew have to be available and the maintenance operations require favourable weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Optimization of reliable cyclic cable layouts in offshore wind farms

Klein

Haugland

2020

Engineering Optimization

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A novel approach for optimizing reliable cable layouts in offshore wind farms is presented. While optimization models traditionally are designed to suggest acyclic cable routes, those developed in this work recognize that cyclic layouts reduce the consequences of cable failures. The models under study take into account that cables cannot cross each other, which, particularly in instances with restrictive cable capacity, can make it attractive to let cables follow a joint trajectory, and visit turbines without connecting to them. A two-layered optimization process is developed. The outer layer is associated with an integer programming problem, which is subject to simultaneous generation of rows and columns representing cable paths. In the inner layer, a problem identifying feasible low cost paths is solved, guided by optimal dual variable values in the continuous relaxation of the former problem. Results from experimental applications to existing wind farms show good promise of the method.

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“…They conducted experiments on a testbed of real‐world cases and showed that the matheuristics are able to find cost‐effective cable layouts. Fischetti and Pisinger also solved the same cable connection problem in Fischetti and Pisinger using mixed integer models. Banzo and Ramos developed a MIP to determine the cable layout by including system efficiency, investment costs, and system reliability for a real offshore wind farm.…”

Section: Introductionmentioning

confidence: 99%

Optimization of cable layout designs for large offshore wind farms

Ülkü

Alabaş-Uslu

2020

Int J Energy Res

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Summary Installation of a wind farm exposes several problems such as site selection, placement of wind turbines in the site, and designing of cable infrastructure within the farm. The latter problem, called cable layout design, is the determination of cable connections among turbines and one or more transmitters such that energies generated by turbines will be sent through the cable routes, and eventually gathered at the transmitter(s). This problem is especially important for offshore wind farms where the featured and expensive cables are used. The main objective of the present study is to address the cable layout design problem of offshore wind farms to reduce cable costs in the design using optimization‐based approaches. The problem, firstly, is modelled as a mixed integer linear program (MIP) under a set of real‐life constraints such as different cable and transmitter types and non‐crossing connections between the turbines. Then, a novel mathematical model, which is a modification of the MIP model by imposing several heuristic rules, is proposed to solve the layout problem of large offshore wind farms. Experiments on a set of small‐ and moderate‐sized test instances reveal that the heuristic model, MIP_H, reduces the computer time nearly 55% compared to that of MIP model while the average cable costs generated by the models are close to each other. MIP_H, besides its efficiency, provides more cost‐effective layouts compared to MIP model for large‐sized real‐life examples. Additionally, a comparative study on MIP_H and existing methods in the literature shows that MIP_H is able to solve all instances of the real‐life examples providing less cable costs in average.

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

Cited by 27 publications

References 20 publications

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

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

Optimization of reliable cyclic cable layouts in offshore wind farms

Optimization of cable layout designs for large offshore wind farms

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