Wind farm layout optimization using particle filtering approach

Eroğlu, Yunus; Seçkiner, Serap Ulusam

doi:10.1016/j.renene.2013.02.019

Cited by 71 publications

(22 citation statements)

References 21 publications

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“…Greedy heuristics have been retaken recently as shown in the works of Chen et al [266] and Yin and Wang [265] and have demonstrated the potential to solve complex versions of the WFDO problem. In addition, other approaches in the literature have successfully adopted different heuristics such as the Monte Carlo method [183,[187][188][189]238,239], pattern search algorithms [244], viral algorithms [255,256], Powell's method [257], particle filtering [204], bionic optimization [208], and customized local search algorithms [210,271]. The set of heuristics, however, have never been compared systematically to determine the best performer, thus resulting in an important topic of research.…”

Section: Heuristic Optimizationmentioning

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: Heuristic Optimizationmentioning

confidence: 99%

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

et al. 2014

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“…Ayrıca, üretilen gücü en yüksek yapabilecek türbinlerin yerleşim planları çalışmaları da literatürde oldukça yaygındır. Bu alanda Eroğlu ve Seçkiner [36,37] …”

Section: şEkilunclassified

Stokastik sınır analizi kullanarak rüzgâr türbinleri için etkinlik değerlendirmesi

Akalın¹,

Seçkiner²,

Eroğlu³

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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“…This model, due to this ease of implementation and fast computation has been widely adopted in wind farm modeling [49,30,[50][51][52][53][54].…”

Section: Jensen Modelmentioning

confidence: 99%

Wake losses optimization of offshore wind farms with moveable floating wind turbines

Rodrigues

Pinto

Soleimanzadeh

et al. 2015

Energy Conversion and Management

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a b s t r a c tIn the future, floating wind turbines could be used to harvest energy in deep offshore areas where higher wind mean speeds are observed. Currently, several floating turbine concepts are being designed and tested in small scale projects; in particular, one concept allows the turbine to move after installation. This article presents a novel layout optimization framework for wind farms composed of moveable floating turbines. The proposed framework uses an evolutionary optimization strategy in a nested configuration which simultaneously optimizes the anchoring locations and the wind turbine position within the mooring lines for each individual wind direction. The results show that maximum energy production is obtained when moveable wind turbines are deployed in an optimized layout. In conclusion, the framework represents a new design optimization tool for future offshore wind farms composed of moveable floating turbines.

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Wind farm layout optimization using particle filtering approach

Cited by 71 publications

References 21 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

Stokastik sınır analizi kullanarak rüzgâr türbinleri için etkinlik değerlendirmesi

Wake losses optimization of offshore wind farms with moveable floating wind turbines

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