Abstract
Photovoltaic generation is the most practical renewable energy alternative since it receives adequate sun irradiation throughout the year. Solar systems are often first modeled using design tools including MATLAB/Simulink to rectify as well as tweak variables to achieve the direct current (DC) as well as voltage requirements with the irradiance as well as ambient high temperature. On simulated systems, reliability tests and analysis are done to determine the performance as well as high durability just before system components fail. This study overviews various systematic methods for evaluating the reliability performance of large-scale grid-connected photovoltaic systems while taking into account variations in power input as well as ambient condition relaying failure rates of critical components such as Photovoltaic module, inverters, switch gears, transformers, and capacitors. The total system dependability also comprises the mean time to failure (MTTF) as well as mean time to repair, MTTR of a power system. An output of photovoltaic electricity fluctuates substantially and is affected by sun temperature and irradiation, giving intermittent as well as variable energy generation. A probabilistic analytical technique is used to analyse an existing model of grid-connected PV systems. The dependability or reliability of a grid connected system is determined by the failure rate, and various PV grid components such as inverters, PV modules, switch gears, transformers, and so on are analyzed using established FMEA and Weibull models. This paper overviews the reliability of solar PV grid-connected systems and identify the factors that affect their performance. The paper provides a review of the current state of research on PV systems, including the components that make up the system, their operation, and the potential failure modes. Additionally, the paper identifies some of the key factors that contribute to the reliability of the solar PV grid-connected system, including environmental factors, design factors, and maintenance strategies.
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