Failure analysis in smart grid solar integration using an extended decision-making-based FMEA model under uncertain environment

Abstract

Failures in the integration of solar energy into smart grids can have significant implications for energy reliability and environmental sustainability, resulting in a greater dependence on conventional energy sources and increased carbon emissions. These failures can impact system functionality, efficiency, and long-term cost savings. Therefore, failure analysis plays a crucial role in identifying the underlying causes, devising appropriate solutions, and enhancing the performance of solar integration within smart grid systems. The conventional method of failure mode and effects analysis (FMEA) is widely utilized to identify failure modes in various processes. However, the Risk Priority Number (RPN) scoring system employed in FMEA has faced criticism due to its limitations. To overcome this challenge, our hybrid FMEA approach integrates cost and time considerations into the RPN calculation, thereby enhancing the assessment of failure factors. In the second step of our methodology, we utilize the Spherical Fuzzy Step-Wise Weight Assessment Ratio Analysis (SF-SWARA) technique and expert insights to determine the weightage of the five underlying factors. Lastly, in the third phase, we propose the Spherical Fuzzy Weighted Aggregated Sum Product Assessment (SF-WASPAS) method to prioritize risks based on the outcomes of the previous phases, while taking into account the uncertainty in the determinants and assigning varying weights to them. According to SF-WASPAS, the highest-rated failure is connectivity and cybersecurity, underscoring the critical importance of ensuring secure and reliable connections in solar systems. Additionally, the FMEA results indicate that overheating or fire ranks as the most significant risk, emphasizing the need for effective fire prevention and mitigation strategies.