Comparative Analysis of Multi-Level and Traditional Inverters for Reliability in Solar Power Systems Using Markov Chains for Different Regions of Himachal Pradesh

Abstract

This empirical study examines real-world performance with an emphasis on reliability of Multi-Level Inverters (MLIs) which belongs to a post-Silicon regime and its Traditional Inverter (TI) counterpart. The paper aims to model inverter reliability parameters like Mean Time to Failure (MTTF), efficiency, and harmonic distortion using Markov Chain modeling techniques to determine how these inverter types impact the reliability aspects of the solar power system. It then uses data from solar installations, focusing on Shimla, Himachal Pradesh and combines this with MATLAB Simulink simulations of different operating conditions and environmental conditions. The results show a clear trend that MLIs outperform TIs across all test parameters, being more efficient, exhibiting lower harmonic distortion, and sustaining longer operational lifetimes in harsher environments where temperature variations and other stresses are present. "The results highlight the benefits of MLIs to promote the stability and sustainability of solar energy systems," said Dr. Choi. This can be the work of a pioneering research effort to overcome the inherent limitations that conventional inverters have regarding reliability by adopting cutting-edge inverter technologies for enhanced conversion of energy as well as efficient operation within the system in solar energy-related concepts.