Abstract
In wind energy systems, reliability analysis plays a significant role in increasing the lifetime of wind turbines. Moreover, improving the reliability of wind turbines minimizes the maintenance cost of the energy systems. Reliability refers to the probability that the wind turbine continues to attain its projected function without failure under operational conditions. In recent times, wind energy installation is increasing rapidly to meet the demand for pollution-free energy. However, the problems in wind energy systems like uncertainty, reliability issues, etc., need to be addressed to improve the performance. An analysis of wind energy system reliability is conducted using the Monte Carlo simulation technique. An estimate of the wind farm's performance is achieved by establishing a resistance-load relationship. Furthermore, the Weibull probability and cumulative distribution function were used to estimate the performance of the system. The simulation results illustrate that when the number of trials increases the probability of failure and error reduces.
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Jasmine Gnana Malar, A., Ganga, M., Parimala, V., Chellam, S. (2023). Estimation of Wind Energy Reliability Using Modeling and Simulation Method. In: Bhateja, V., Carroll, F., Tavares, J.M.R.S., Sengar, S.S., Peer, P. (eds) Intelligent Data Engineering and Analytics. FICTA 2023. Smart Innovation, Systems and Technologies, vol 371. Springer, Singapore. https://doi.org/10.1007/978-981-99-6706-3_40
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DOI: https://doi.org/10.1007/978-981-99-6706-3_40
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