Warranty-driven reliability analysis: a stochastic model for continuous solar power supply system with two photovoltaic cells and an inverter

This research investigates the reliability of advanced power solutions merging photovoltaic cells and inverters, promising a transformative impact on uninterrupted power supply. The focus is on a three-unit non-identical repairable power system, incorporating two identical photovoltaic cells and an inverter, all within a specified warranty period. Utilizing a stochastic model with regenerative point technique and semi-Markovian approach, the study aims to ensure uninterrupted power across logistics, banking, and hospitality sectors using renewable solar energy. System operation mandates at least two functional units, with faulty units repaired or replaced within warranty limits. The proposed study investigates the reliability of a three-unit non-identical repairable power supply system incorporating two identical photovoltaic cells and an inverter within a warranty period, wherein units are subject to replacement if repair exceeds the maximum allotted time. Manufacturer-covered costs and flawless repairs by designated providers are assumed. Repair and replacement times follow an exponential distribution, while unit failure rates and warranties vary for a comprehensive reliability analysis. This approach provides a holistic view of system reliability under varying conditions, critical for sustainable power solutions in diverse industries.