Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 17, Pages: 1-9
Rabia Shakoor1 , Mohammad Yusri Hassan1,2* , Abdur Raheem1,3 and Nadia Rasheed3
1 Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia
2 Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia; [email protected]
3 University College of Engineering and Technology, The Islamia University of Bahawalpur, Bahawalpur - 63100 Pakistan
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 %.
Keywords: Jensen’s Wake Mode, Layout Optimization, Wind Farm Area Dimensions, Wake Losses, Wind Turbine Positioning
Subscribe now for latest articles and news.