Open AccessReliability Analysis of Boost Converters Connected to a Solar Panel Using a Markov Approach
Author(s) -
Rifqi Firmansyah Muktiadji,
Ali Muhammad Ali Rushdi
Publication year - 2021
Publication title -
journal of energy research and reviews
Language(s) - English
Resource type - Journals
ISSN - 2581-8368
DOI - 10.9734/jenrr/2021/v7i130182
Subject(s) - renewable energy , mean time between failures , reliability engineering , reliability block diagram , reliability (semiconductor) , photovoltaic system , solar energy , solar micro inverter , engineering , computer science , electrical engineering , voltage , automotive engineering , inverter , maximum power point tracking , failure rate , fault tree analysis , power (physics) , physics , quantum mechanics
In the past few decades, the energy shortage and global warming problems became a serious concern for humanity. To solve these problems, many countries have evolved renewable energy sources (RESs) such as solar, wind, hydro, tidal, geothermal, and biomass energy sources. Solar energy is usually harvested via a solar panel that is connected to a boost converter to supply the loads. The converter has a key role in the system, since it controls the voltage at the DC bus. If any accidental fault occurs in the converter, the solar panel cannot supply electricity to the loads. Therefore, reliability evaluation of the converter is usually warranted. In this study, reliability evaluation of boost converters connected to a solar panel is carried out using the Markov technique. This technique is widely employed to evaluate the reliability and availability of a system with fixed failure and repair rates. Using the Markov method, we found that the reliability of the typical specific converter considered is 0.9986 for and that its life expectancy or Mean-Time-To-Failure (MTTF) is .