Transactions on Machine Intelligence

Transactions on Machine Intelligence

Optimization of Wind Turbine Connections in Wind Farms

Document Type : Original Article

Authors
H. Afkar 1
M. H. Ahmadi 2
1 Assistant Professor, Department of Electrical Engineering, Technical and Vocational University, Tehran, Iran
2 Department of Electrical Engineering, Technical and Vocational University, Tehran, Iran
10.47176/TMI.2018.106
Abstract
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.
Keywords
Wind Turbine Connections
Wind Farms
Optimization
Genetic Algorithm
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Transactions on Machine Intelligence
Volume 1, Issue 2
Spring 2018
Pages 106-114

  • Receive Date 02 March 2018
  • Revise Date 09 April 2018
  • Accept Date 14 May 2018