Abstract
In this paper, an extensive reliability analysis of wind energy conversion systems (WECS) is presented. Elaborate the analysis is presented starting from the subassembly level to the subsystem level, then the system or the overall WECS. The fault tree method with a Weibull probability distribution function is introduced as a complete model for estimating the wind turbine subassemblies’ reliability. The model was tested using a massive dataset of failure rates of various wind turbine subassemblies derived from relevant literature, comprising various operating concepts and the different climate conditions. In addition, ranking for various subassemblies of wind energy conversion systems concerning their impact on the overall system reliability is also presented in this paper to identify the weak items and subsystems. This identification guides the designers and planners in setting the appropriate maintenance strategies to increase the overall reliability of the considered systems and achieve a desired level of reliability. The results indicate that the model has practical applications for managing wind turbines, and the implementation demonstrates the proposed approach’s effectiveness and efficiency, which may significantly enhance the WECS reliability.
Highlights
Wind harvesting technologies represent the most essential and promising alternative sources of renewable power generation [1]
The wind farms have a high efficiency compared with photovoltaic power stations and tidal power and represent a green energy source compared with biomass and nuclear power plants
VOLUME 9, 2021 the failure rates must describe by time-dependent probability density functions (PDFs) with variable renewable energy (VRE) systems [17]
Summary
Wind harvesting technologies represent the most essential and promising alternative sources of renewable power generation [1]. Reliability and economics represent two inevitable and fundamental characteristics of wind energy power generation. Several factors may arise in power grids operation and management when connecting the electricity generated from wind energy systems with the grid. The unavailability of accurate data of the subassemblies’ failure and repair rates reduces the critical role of reliability in such systems. An up-to-date dataset for failure rates of WECS subassemblies is presented to solve the problem of lacking accurate reliability data. VOLUME 9, 2021 the failure rates must describe by time-dependent probability density functions (PDFs) with VRE systems [17]. A technique for evaluating the reliability of WECS is presented using the Weibull distribution-based fault tree analysis method [17].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
