An Innovative Fuzzy Modelling Technique for Photovoltaic Power Generation Farm’s Failure Modes and Effects Analysis

The yield of a photovoltaic system is highly influenced by its consistent operation without any unexpected shutdown. The availability of this system is vastly dependent on the unhindered and trouble-free operation of the various components incorporated in the photovoltaic system. These components have interdependence among each other, and their coordinated operation provides the most optimum result promised to the grid and consumers. An investigation is conducted in this research for the identification of the most prominent causes of failures in the components of a photovoltaic system. Subsequently, using crisp data associated with various failure modes, a fuzzy-logic-based FMEA model is also developed for risk assessment and maintenance prioritization. Particular attention is given to address the drawbacks of the conventional FMEA approach and a comparative analysis between the conventional and fuzzy-based FMEA approach improving the reliability and performance of the system. This research will be assist researchers, practising engineers from utilities and agencies dealing with risk assessment and maintenance prioritization of photovoltaic power generation farm.