Optimisation of electrical system for offshore wind farms via genetic algorithm

2009 ◽  
Vol 3 (2) ◽  
pp. 205 ◽  
Author(s):  
M. Zhao ◽  
Z. Chen ◽  
F. Blaabjerg
Keyword(s):  
Genetic Algorithm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Electrical System ◽  
Offshore Wind Farms

scholarly journals The Role of Medium Voltage Electrical System Design in Risk Management for Offshore Wind Farms

2004 ◽  
Vol 28 (5) ◽  
pp. 489-502 ◽  
Author(s):  
Jim Pechey ◽  
Philip Taylor ◽  
Richard Dixon ◽  
Mark Lawson ◽  
Andrew Dinning
Keyword(s):  
Risk Management ◽  
System Design ◽  
Wind Farms ◽  
Offshore Wind ◽  
Electrical System ◽  
Offshore Wind Farms ◽  
Medium Voltage

scholarly journals Optimisation of Offshore Wind Farms Using a Genetic Algorithm

2016 ◽  
Vol 26 (3) ◽  
pp. 225-234 ◽  
Author(s):  
Ajit Pillai ◽  
John Chick ◽  
Lars Johanning ◽  
Mahdi Khorasanchi ◽  
Sebastien Pelissier
Keyword(s):  
Genetic Algorithm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms

scholarly journals Layout optimization for offshore wind farms in India using the genetic algorithm technique

2020 ◽  
Vol 54 ◽  
pp. 79-87
Author(s):  
Narender Kangari Reddy ◽  
Somnath Baidya Roy
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Wind Farm ◽  
Selection Process ◽  
Wind Farms ◽  
Critical Issue ◽  
Layout Optimization ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Wake Model

Abstract. Wind Farm Layout Optimization Problem (WFLOP) is a critical issue when installing a large wind farm. Many studies have focused on the WFLOP but only for a limited number of turbines and idealized wind speed distributions. In this study, we apply the Genetic Algorithm (GA) to solve the WFLOP for large hypothetical offshore wind farms using real wind data. GA mimics the natural selection process observed in nature, which is the survival of the fittest. The study site is the Palk Strait, located between India and Sri Lanka. This site is a potential hotspot of offshore wind in India. A modified Jensen wake model is used to calculate the wake losses. GA is used to produce optimal layouts for four different wind farms at the specified site. We use two different optimization approaches: one where the number of turbines is kept the same as the thumb rule layout and another where the number of turbines is allowed to vary. The results show that layout optimization leads to large improvements in power generation (up to 28 %), efficiency (up to 34 %), and cost (up to 25 %) compared to the thumb rule due to the reduction in wake losses. Optimized layouts where both the number and locations of turbines are allowed to vary produce better results in terms of efficiency and cost but also leads to lower installed capacity and power generation. Wind energy is growing at an unprecedented rate in India. Easily accessible terrestrial wind resources are almost saturated, and offshore wind is the new frontier. This study can play an important role while taking the first steps towards the expansion of offshore wind in India.

Disturbance of harbour porpoises during construction of the first seven offshore wind farms in Germany

2018 ◽  
Vol 596 ◽  
pp. 213-232 ◽  
Author(s):  
MJ Brandt ◽  
AC Dragon ◽  
A Diederichs ◽  
MA Bellmann ◽  
V Wahl ◽  
...  
Keyword(s):  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms

Feasibility study for the installation of offshore wind farms in the Canary Islands

2009 ◽  
Vol 1 (07) ◽  
pp. 809-813
Author(s):  
M. Martínez ◽  
A. Pulido ◽  
J. Romero ◽  
N. Angulo ◽  
F. Díaz ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Canary Islands ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms

scholarly journals Offshore wind farms and the attraction–production hypothesis: insights from a combination of stomach content and stable isotope analyses

Hydrobiologia ◽  
2021 ◽  
Author(s):  
Ninon Mavraki ◽  
Steven Degraer ◽  
Jan Vanaverbeke
Keyword(s):  
Stable Isotope ◽  
Stomach Content ◽  
Wind Farms ◽  
Offshore Wind ◽  
Artificial Reefs ◽  
Dietary Composition ◽  
Trachurus Trachurus ◽  
Offshore Wind Farms ◽  
Scomber Scombrus ◽  
Isotope Analyses

AbstractOffshore wind farms (OWFs) act as artificial reefs, attracting high abundances of fish, which could potentially increase their local production. This study investigates the feeding ecology of fish species that abundantly occur at artificial habitats, such as OWFs, by examining the short- and the long-term dietary composition of five species: the benthopelagic Gadus morhua and Trisopterus luscus, the pelagic Scomber scombrus and Trachurus trachurus, and the benthic Myoxocephalus scorpioides. We conducted combined stomach content and stable isotope analyses to examine the short- and the time-integrated dietary composition, respectively. Our results indicated that benthopelagic and benthic species utilize artificial reefs, such as OWFs, as feeding grounds for a prolonged period, since both analyses indicated that they exploit fouling organisms occurring exclusively on artificial hard substrates. Trachurus trachurus only occasionally uses artificial reefs as oases of highly abundant resources. Scomber scombrus does not feed on fouling fauna and therefore its augmented presence in OWFs is probably related to reasons other than the enhanced food availability. The long-termed feeding preferences of benthic and benthopelagic species contribute to the hypothesis that the artificial reefs of OWFs could potentially increase the fish production in the area. However, this was not supported for the pelagic species.

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