An important source of energy which has been considered in recent years in advanced countries is the wind energy which is very cheap, clean, and always available. The layout of turbines in the wind farm needs accurate calculations due to limited land and investment, so as to obtain the maximum energy from the wind farm. In this research to locate the turbines in a wind farm three approaches has been considered to obtain maximum power, achieving the least cost of cabling between the turbines individually and the hybrid mode the maximum power and the minimum cost. In this study using the Wake equations, the effects of turbines on each other are also considered. For solving the issue a new genetic algorithm is employed. To evaluate the performance of the proposed algorithm, the results of this algorithm are compared with typical genetic algorithm and several basic questions. The results showed that the proposed algorithm has a better performance.
Beheshtinia, M. A., & Gazaneh, O. (2023). Determine the Optimal Arrangement of Wind Turbines by Considering Maximum Power and Minimum Cost of Connecting Wind Turbines. Energy Engineering and Management, 6(1), 40-51.
MLA
Mohammad Ali Beheshtinia; Omid Gazaneh. "Determine the Optimal Arrangement of Wind Turbines by Considering Maximum Power and Minimum Cost of Connecting Wind Turbines", Energy Engineering and Management, 6, 1, 2023, 40-51.
HARVARD
Beheshtinia, M. A., Gazaneh, O. (2023). 'Determine the Optimal Arrangement of Wind Turbines by Considering Maximum Power and Minimum Cost of Connecting Wind Turbines', Energy Engineering and Management, 6(1), pp. 40-51.
VANCOUVER
Beheshtinia, M. A., Gazaneh, O. Determine the Optimal Arrangement of Wind Turbines by Considering Maximum Power and Minimum Cost of Connecting Wind Turbines. Energy Engineering and Management, 2023; 6(1): 40-51.
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