Abstract
Wind farm layout optimization has become one of the deciding approaches to increase power output and decrease total cost of a wind farm. In recent year, for capturing maximum energy from wind turbines, wind farmers are installing the wind turbines having bigger rotors and highly efficient turbine components. Even though they are unable to get the achievable output from the wind farm due to wake effect. The heart of our research study is to analyse and optimize the wind farm layout problem. The focus of wind farm layout optimization problem is to find the best placement of wind turbine in the area of wind farm such a way that there is no wake or minimal wake condition of downstream turbine. For that purpose study of wake, model is more important and find out the best optimal solution of placement of wind turbine. Teaching learning based optimization method is used for optimizing the positioning of wind turbines. It is considered that wind is coming from 36 rotational directions with 10° increment from 0 to 360° and velocity is uniform throughout 12 m/s.
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- \(u_{0}\) :
-
Free stream wind velocity (m/s)
- \(u\) :
-
Effective wind velocity under single wake (m/s)
- \(u_{i}\) :
-
Effective wind velocity under multiple wake (m/s)
- \(d_{\text{r}}\) :
-
Diameter of rotor (m)
- \(C_{\text{T}}\) :
-
Turbine trust coefficient
- h :
-
Hub height of Turbine (m)
- \(h_{0}\) :
-
Surface roughness of wind turbine (m)
- x :
-
Distance between the upstream wind turbine to the downstream turbine (m)
- A :
-
Rotor swept area (m)
- \(P_{i}\) :
-
Power generated by the ith wind turbine (KW)
- \(V_{\text{D}}\) :
-
Deficit velocity (m)
- \(P_{\text{total}}\) :
-
Total power generated by the wind farm (KW)
- N :
-
Total number of wind turbine are placed in the wind farm.
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Modi, Y.D., Patel, J., Nagababu, G., Jani, H.K. (2020). Wind Farm Layout Optimization Using Teaching Learning Based Optimization Technique Considering Power and Cost. In: Deb, D., Dixit, A., Chandra, L. (eds) Renewable Energy and Climate Change. Smart Innovation, Systems and Technologies, vol 161. Springer, Singapore. https://doi.org/10.1007/978-981-32-9578-0_2
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DOI: https://doi.org/10.1007/978-981-32-9578-0_2
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