Universiti Teknologi Malaysia Institutional Repository

The modelling of wind farm layout optimization for the reduction of wake losses

Shakoor, Rabia and Hassan, Mohammad Yusri and Raheem, Abdur and Rasheed, Nadia (2015) The modelling of wind farm layout optimization for the reduction of wake losses. Indian Journal of Science and Technology, 8 (17). pp. 1-9. ISSN 0974-6846

[img]
Preview
PDF
678kB

Official URL: http://dx.doi.org/10.17485/ijst/2015/v8i17/69817

Abstract

The objective of the present research is to find out the optimized dimensions of the wind farm area and turbines layout to reduce the overall cost per unit power. The velocity deficits caused by the wakes of each turbine were calculated by using Jensen's wake model. The optimal positions of wind turbine placement are evaluated by using genetic algorithm, while sustaining the obligatory space between adjacent turbines for operation safety. The research on the wind farm area dimensions and fully utilization of upstream wind velocity is currently lacking in literature. The logical application of area dimensions and genetic algorithm improved the overall efficiency of the wind farm. It is concluded that proposed duel level optimization method outperforms the existing ones. The total wind farm area (2km × 2km) was divided into 100 identical cells, with each cell having dimensions 200m × 200m . The performance of the proposed method is compared with the results from previous studies. The simulation results showed that power output of the wind farm was increased by using same area with different dimensions. It was observed that by using the same number of wind turbines, the total efficiency of wind farm was increased by 7 %.

Item Type:Article
Uncontrolled Keywords:jensen's wake mode, layout optimization, wake losses, wind farm area dimensions, wind turbine positioning
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:58971
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:15 Aug 2021 07:56

Repository Staff Only: item control page