Analysis of the Behaviour of Genetic Algorithm Applied in Optimization of Electrical System Design for Offshore Wind Farms

2006 ◽  
Author(s):  
Menghua Zhao ◽  
Zhe Chen ◽  
Jesper Hjerrild
Keyword(s):  
Genetic Algorithm ◽  
System Design ◽  
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

New Extreme Model Applied to Mooring System Design Load Case Assessment

2015 ◽  
Author(s):  
Fernando del Jesus ◽  
Raúl Guanche ◽  
Íñigo J. Losada ◽  
César Vidal
Keyword(s):  
System Design ◽  
Mixed Model ◽  
Wind Farms ◽  
Reanalysis Data ◽  
Offshore Wind ◽  
Design Parameters ◽  
Mooring System ◽  
Offshore Wind Farms ◽  
The North ◽  
Extreme Model

Offshore wind energy turbines are being deployed massively in the North Sea. Most of the latest developments are monopile based due to the local bathymetry. However, future offshore wind farms will be located at larger water depths. Mainly because the nearest sites to the shoreline will be already occupied, future wind farms will be in 60 m water depth at least. This is, approximately, the limit for fixed support structures, such as monopiles, tripods and jackets. Some developers have already identified this need and some prototypes are under testing, such as WindFloat and Hywind. Floating wind technology will face some challenges. One of the most important ones is how to moderate the cost of the platform and the mooring system. Consequently, it is necessary to reduce the uncertainty during design steps. In this paper, new extreme mixed model will be applied to mooring system design. This extreme model combines instrumental and reanalysis data in order to obtain more accurate design parameters, reducing the uncertainty and improving the input that is required for the structural design of these concepts.

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
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