A Review of An Optimal Large-Scale Offshore Wind Turbine Farm Layout Techniques

Abstract

The growth of every nation, be it social or economic development,
depends largely on its energy sector. Renewable energy sources such as
solar, wind, tidal, geothermal, biogas, etc. are growing significantly
faster as an alternative source to conventional sources and are playing
a vital role in society. The availability of offshore wind energy will
promote substantial growth in wind turbine energy (WTE) for society
and strengthen technologies. This paper investigates the use of
optimization algorithms for siting wind farm energy (WFE). 6 (six)
optimization techniques were reviewed and presented. So, it becomes
pertinent to optimally place (WTE) in a large-scale offshore WF by
formulating the necessary objective function consisting of wake effect
and component costs with WF layout. This study presents a WF model
that makes use of the arithmetic optimization algorithm (AOA)
techniques to optimally place wind turbines in WFs and compares them
to the other techniques.