Genetic Optimal Micrositing of Wind Farms by Equilateral-Triangle Mesh

Wang, Jun; Li, Xiaolan; Zhang, Xing

doi:10.5772/15611

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…Therefore, the proposed solution procedures must tackle the problem without affecting both the mathematical form of the model and the design variables. Many solution procedures, such as the ones based on the Genetic Algorithm, require the discretization of the wind farm site, thus limiting the available locations where WTs can be erected, which in turn impacts the solution quality of the problem as demonstrated in [242,259]. Although it has been suggested to use irregular, finer and non-uniform discretization grids to improve these limitations [242], the selection of the type, size and refinement of the grid is equally hard as selecting the WT individual locations over a continuous space, thus denoting an important area of improvement for such solution procedures.…”

Section: Solution Methodsmentioning

confidence: 99%

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

et al. 2014

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This article presents a review of the state of the art of the Wind Farm Design and Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning actions needed to extremize the performance of wind farms, which may be composed of a few individual Wind Turbines (WTs) up to thousands of WTs. The WFDO problem has been investigated in different scenarios, with substantial differences in main objectives, modelling assumptions, constraints, and numerical solution methods. The aim of this paper is: (1) to present an exhaustive survey of the literature covering the full span of the subject, an analysis of the state-of-the-art models describing the performance of wind farms as well as its extensions, and the numerical approaches used to solve the problem; (2) to provide an overview of the available knowledge and recent progress in the application of such strategies to real onshore and offshore wind farms; and (3) to propose a comprehensive agenda for future research. OPEN ACCESSEnergies 2014, 7 6931

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Section: Solution Methodsmentioning

confidence: 99%

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

et al. 2014

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“…The key aspects that have influence in electrical power losses are inter-array voltage, turbines capacity, operating power factor, wind rose on considered site [12], HV transformers and collector system topology. Taking into account all these issues, power losses associated with each stretch, can be easily assessed in presented formulation without making use of simulation packages.…”

Section: A Power Losses Formulationmentioning

confidence: 99%

Evaluation of electrical losses in MVAC collector systems in offshore wind farms

Arrambide¹,

García²,

Ugartemendia³

et al. 2017

REPQJ

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Abstract. This work presents an evaluation methodology of electrical losses in the collector systems for different topologies considered nowadays in large offshore wind parks. Taking into account the current situation of the offshore collector systems, a summary about schemes employed in commissioned wind farms is presented. Electrical layout plays a key role in order to cut down Levelized Cost of Energy (LCoE). Based on the calculus of electrical losses, the authors select the optimum design of the array of the wind farm combined with the most adequate rated power offshore turbines. Power losses evaluation is verified with real cable data sheets and the methodology is applied to a real wind farm in construction.

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A Customized Binary-coded Genetic Algorithm for Wind-farm Layout Optimization

Song

Wang

2020

2020 IEEE Conference on Control Technology and Applications (CCTA)

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Genetic Optimal Micrositing of Wind Farms by Equilateral-Triangle Mesh

Cited by 6 publications

References 4 publications

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

Evaluation of electrical losses in MVAC collector systems in offshore wind farms

A Customized Binary-coded Genetic Algorithm for Wind-farm Layout Optimization

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