Abstract
The interest in the utilization of offshore wind power is increasing significantly worldwide. A typical offshore windfarm may have hundreds of generators, which is outspread in the range of several to tens of kilometers. Therefore, thereare many feasible schemes for the wind turbine location and internal line connection in a wind farm. The planner mustsearch for an optimal one from these feasible schemes, usually with a maximum wind power output and the lowestinstallation and operation cost. This paper proposes a novel procedure to determine the optimization wind turbinelocation and line connection topology by using artificial intelligence techniques: The genetic algorithm is utilized inthe optimal layouts for the offshore wind farm, and the ant colony system algorithm is utilized to find the optimal lineconnection topology. Furthermore, the wake effect, real cable parameters, and wind speed series are also considered inthis research. The concepts and methods proposed in this study could help establish more economical and efficientoffshore wind farms in the world.
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