RBDO Approach for Site-to-Wind Turbine Generator Pairing

The increasing focus on sustainable, clean, and abundant alternative energy sources has highlighted the need for robust and dependable methods to assess their potential. This is crucial in order to make informed investments in energy systems that can meet consumption and export requirements. When it comes to wind power, however, there is a higher level of uncertainty compared to conventional power sources regarding its contribution to meeting electricity demands. Reliabilitybased design optimization (RBDO) has been extensively employed in engineering design applications. This approach aims to strike a balance between safety and manufacturing costs while adhering to probabilistic constraints. In the context of wind turbine selection for a specific site, this paper seeks to introduce the RBDO method as a means to identify the optimal wind turbine. It takes into consideration the potential uncertainties associated with various parameters relevant to the turbine selection problem. Additionally, this study addresses a limitation in the conventional method by proposing an alternative approach that is less sensitive to approximated curves of wind turbine generators (WTGs). By introducing this novel method, the reliability of wind turbine processes can be improved.