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A design methodology for wind farm layout considering cable routing and economic benefit based on genetic algorithm and GeoSteiner

Wu, Yan, Zhang, Shuai, Wang, Ruiqi, Wang, Yufei, Feng, Xiao
Renewable energy 2020 v.146 pp. 687-698
algorithms, case studies, energy, energy costs, farm size, financial economics, power generation, wind, wind farms, wind power, wind turbines
Wind farm designing is a crucial stage to realize the application of wind energy. This work studies the problem of wind farm layout optimization (WFLO). A new method based on power production, wind distribution, wake loss is proposed to optimize the layout of wind farm. Genetic algorithm (GA) is utilized to optimize the locations of wind turbine in the wind farm. GeoSteiner algorithm is used to optimize the layouts of cable which has important influence on power transmission. The objective function is annual economic benefit (AEB) including annual production benefit (APB) and the costs of energy, cable and land. In the case study, the wind farm size is 3850 m × 3850 m. The number of wind turbines (WTs) of the cases changes from 2 to 58. The capacity achieves 87 MW when the number of WTs is 58. The result shows that the case considering all factors mentioned above has the highest AEB with 1.87 × 109 ¥ per year. There is a 27.01% increase compared with the original case with APB as objective function. Specifically, the investment of cable is 3.68 × 106 ¥ comparing with 4.06 × 106 ¥ of the case only considering APB.