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EN
The paper presents selected aspects of network construction related to the location of wind turbines due to their aerodynamic impact on power lines of high and highest voltage. The technical context has been described on the applicable formal and legal conditions. Based on the source data concerning the aerodynamic impact of a wind farm consisting of eight turbines on a 400 kV transmission power line, an analysis of the possibility of wind farm locating in the immediate vicinity of the line was carried out. There are serious problems with locating higher capacity wind farms in the context of their connection to the transmission grid. One of the most important issues in the design/construction of wind farms is the rationalization of the typology of distribution of individual generating units due to the turbulence they generate . An example of a report on the assessment of the aerodynamic impact of wind turbines on a high-voltage power transmission line in the case of planning their location in the vicinity of the line is presented. Ways of solving the wind farm location problems have been proposed, which allow the wind farm to be located in the vicinity of an overhead high-voltage power transmission line.
EN
The paper presents a GIS-based method for selecting an optimum location of wind farm on the case study of the Prusice commune in Lower Silesia (SW Poland). The adopted multi-criteria approach utilises the Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) methods to determine weights of sitting criteria (factors and constraints), and to develop a composite suitability map from single-factor maps representing these criteria. The adopted sitting criteria have been identified based on literature review, and include: technical, spatial, social and environmental aspects of wind farm development, and also address specific geographical constrains of this part of Poland. The most suitable and suitable areas have been presented on a wind farm suitability map for the commune. The area size of the largest suitable spots (14) varies from 10 to 64 ha. The proposed method and the results of this work can be used to support sustainable spatial policy and spatial development on all levels of public administration related to renewable resources use.
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