Optimal Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach

González-Longatt, Francisco; Wall, Peter; Regulski, P.; Terzija, Vladimir

doi:10.1109/jsyst.2011.2163027

Cited by 134 publications

(104 citation statements)

References 16 publications

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“…Thereby, they are defined as NP-complete problems [19,20]. However, finding the simultaneous optimal configuration and cable sizing of an OWF without any clustering method can be embedded in the category of NP-hard or at least NPcomplete problem [13]. Because, including corresponding cost of cable dimensions into the objective function causes variable cost branches (edges) for each individual solution, thus creating an extremely complex and inherently intractable discrete optimization problem.…”

Section: Computational Complexity Of the Problemmentioning

confidence: 99%

“…Note that, according to the offshore wind characteristic, the annual capacity factors of installed OWFs are generally in the range of 0.33-0.54 [25,26]. Hence, in order to minimize the CAPEX for investors, the power loss is defined as a penalty function with its admissible value (lower than 2%) [13]. Nevertheless, in case of obtaining identical fitness function among different optimal solutions the one with lower total power loss is selected.…”

Section: Objective Functionsmentioning

confidence: 99%

“…Different admissible spacing has been defined in the literature, e.g. 3D-7D and 7D-12D [13,[28][29][30]. Thereby, the spacing of 5D and 9D are assumed between the WTs along an array (d y ) and between the arrays (d x ), respectively.…”

Section: Case Studymentioning

confidence: 99%

“…Recently, variable cable dimension has also been considered to find the optimal electrical interconnection configuration of OWFs, where metaheuristic algorithms were utilized. Reference [13] proposed a modified approach to the traveling salesman problem (TSP) for designing a radial configuration. This study used an improved GA to find the optimal electrical network design of a large-scale OWF, while cable dimensions were considered as a radial configuration without any tapering for cables away from the OS.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simultaneous optimization of electrical interconnection configuration and cable sizing in offshore wind farms

Sedighi

Moradzadeh

Kükrer

et al. 2018

J. Mod. Power Syst. Clean Energy

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Offshore wind farm (OWF) is the largest renewable energy resource. The electrical interconnection cost of OWFs is a considerable fraction of the overall design cost of the farm. In order to minimize the investment and operational costs, this paper proposes an optimization formulation to find the optimal electrical interconnection configuration of wind turbines (WTs), and the optimal cable sizing simultaneously. This simultaneous minimization of total trenching length and cable dimensions creates a complex optimization problem that is solved by the harmony search (HS) algorithm. In this paper, two distinct methods of full and partial optimal cable sizing are considered to comprehensively assess the optimal interconnection layout of OWFs. Furthermore, various shipping and burying costs as well as various WTs power ratings are considered in order to investigate their impact on the optimal electrical interconnection system. The optimal electrical interconnection design obtained by the HS algorithm corresponds to a lower cost that together with the technological developments can help policy makers increase the use of offshore wind energy as a feasible unlimited renewable resource in their energy production portfolios.

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Section: Computational Complexity Of the Problemmentioning

confidence: 99%

Section: Objective Functionsmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simultaneous optimization of electrical interconnection configuration and cable sizing in offshore wind farms

Sedighi

Moradzadeh

Kükrer

et al. 2018

J. Mod. Power Syst. Clean Energy

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show abstract

“…In [48], the bacterial foraging algorithm (BFA) is used for the optimal control of a DFIG system. Authors in [49] described a new modified model of the genetic algorithm (GA) for optimal control design of a large offshore wind farm. The particle swarm optimization (PSO) algorithm was proposed for the DFIG-based WT systems to find optimal values of both converter and active damping controllers [14,50].…”

mentioning

confidence: 99%

Analysis and Modeling of Advanced Power Control and Protection Requirements for Integrating Renewable Energy Sources in Smart Grid,

Moghadasiriseh¹

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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 Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach

Cited by 134 publications

References 16 publications

Simultaneous optimization of electrical interconnection configuration and cable sizing in offshore wind farms

Simultaneous optimization of electrical interconnection configuration and cable sizing in offshore wind farms

Analysis and Modeling of Advanced Power Control and Protection Requirements for Integrating Renewable Energy Sources in Smart Grid,

Optimization of cable layout designs for large offshore wind farms

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