 Reliability estimation of photovoltaic system using Markov process and dynamic programming approachSonal Sindhu, Vijay Nehra and S.C. Malik International Journal of Reliability and Safety, 2017, vol. 11, issue 1/2, 132-151 Abstract: Adoption of solar energy is still at early stage and has failed to reach expected levels because of presence of several impeding factors lying in its diffusion path. One of the major impediments in adoption of Photovoltaic (PV) systems is low efficiency due to frequent failures. With the worldwide growth of renewable energy, the importance of the aspect of the reliability and stability is getting close attention. Present study is oriented towards deriving the reliability measures of a PV system made up of three subsystems, i.e. PV array, inverter and transformer connected in series. The behaviours of Mean Time to System Failure (MTSF), availability and cost-benefit function have been analysed graphically. Present investigation reveals that inverter failure affects the performance of PV system in significant manner. To fix this issue, Dynamic Programming Approach (DPA) has been applied and 95% reliability has been achieved. Keywords: photovoltaic system; exponential distribution; Markov process; reliability measures; MTSF; availability; cost-benefit function; regenerative point technique; dynamic programming approach. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrsaf:v:11:y:2017:i:1/2:p:132-151 Access Statistics for this article More articles in International Journal of Reliability and Safety from Inderscience Enterprises Ltd |
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