An optimization model for wind turbine micro-siting in Wind Power Plant installation

Abstract

The wind turbine micro-siting is one of the most important agenda topics in Wind Power Plant (WPP) installations. An appropriate siting of wind turbines increases the amount of energy produced by the WPP. In this study, an optimization model is developed for WPP installation consisting of 10 wind turbines. In the first stage of the study, the wind speed distribution in WPP installation region is modeled. In this model; wind measurements taken from the WPP installation region, topographic map of the WPP installation region and WASP (Wind Atlas Analysis and Application Program) software are used. In the second stage, a general method has been formed for calculating the total energy produced by the wind turbines to be placed randomly in the region. A real power curve belong to the wind turbine is used for the energy calculation to be close to real production. This power curve belongs to the Bonus brand wind turbine, which has an output power of 2 MW. In the third stage of the study, the optimization model is solved by using the Genetic Algorithm (GA) method and 10 number optimal turbine coordinates is determined. In order to evaluate the results, wind turbines are placed in these coordinates using WASP software. According to the results from the software, the annual energy production of the wind turbines is found as 56553.5 kWh. Furthermore, it has been observed that wind turbine placements are made to the regions, which have high energy production potential in the mean wind speed map. This result showed that the proposed model is placed turbines effectively in WPP installation.

Keywords

• Micro-siting
• Wind Power Plant
• Genetic algorithm
• WAsP
• Weibull distribution