Transactions on Machine Intelligence 2821-1693 1 2 2018 06 01 Optimization of Wind Turbine Connections in Wind Farms 106 114 205338 10.47176/TMI.2018.106 EN H. Afkar Assistant Professor, Department of Electrical Engineering, Technical and Vocational University, Tehran, Iran M. H. Ahmadi Department of Electrical Engineering, Technical and Vocational University, Tehran, Iran Journal Article 2018 03 02 The increase in specific diseases and the expansion of environmental pollution have drawn more attention to these destructive phenomena. Thermal power plants, as sources of pollutant gas emissions, are recognized as contributors to global warming and environmental degradation. Although wind power plants contribute to reducing environmental pollution by supplying the power system load, the random and unpredictable nature of wind increases the output power variability of these plants, raises system risk levels, and complicates their operation. The economic distribution of energy, the design of internal farm networks, and the calculation of system costs have become additional topics of study in new networks. This article focuses on optimizing the connections of wind turbines in wind farms. Accordingly, the shortest path for transmitting the generated power of wind turbines to the consumption network and the number of paths are determined. A genetic optimization algorithm is used in this process. Simulation results using MATLAB software demonstrate the optimal selection of the number and length of paths in the shortest possible time for a sample wind farm. https://www.tmachineintelligence.ir/article_205338_5815e6a6d30422e85d1115a217301c97.pdf