2020
DOI: 10.1109/access.2020.2966922
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Reliability Modeling of PV Systems Based on Time-Varying Failure Rates

Abstract: The penetration of photovoltaic (PV) systems in power grids has substantially increased since the recognition of renewable energies. In a high solar-integrated network environment, an accurate forecast of the expected solar energy output is vital. One of the important factors that influence such forecast is the failure rates of PV systems. Therefore, a new and realistic reliability model of the PV system is proposed in this study. In contrast to the conventional reliability model, which uses fixed values of fa… Show more

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Cited by 35 publications
(28 citation statements)
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“…S. Raghuwanshi et al [22], presented the reliability indices assessment of the standalone photovoltaic with water pumping system using Markov model combined with frequency duration technique. H. Abunima et al [23], proposed a new failure rate model for PV considering the changing environmental weather, PV system structure, and system components. The results showed that monthly failure rate values are significantly different from conventional values.…”
Section: Figure 1 Annual Growth Rate Of Some Ressmentioning
confidence: 99%
See 2 more Smart Citations
“…S. Raghuwanshi et al [22], presented the reliability indices assessment of the standalone photovoltaic with water pumping system using Markov model combined with frequency duration technique. H. Abunima et al [23], proposed a new failure rate model for PV considering the changing environmental weather, PV system structure, and system components. The results showed that monthly failure rate values are significantly different from conventional values.…”
Section: Figure 1 Annual Growth Rate Of Some Ressmentioning
confidence: 99%
“…Factors contributing to those impacts and the level and timeframe at which they occur are carefully analyzed. The reliability of a large-scale PV system integrated into a distribution network was assessed and improved as given in [25][26][27][28]. S. Su et al [25] and H. Li et al [26], proposed a reliability evaluation for PV systems that are integrated with RDS.…”
Section: Figure 1 Annual Growth Rate Of Some Ressmentioning
confidence: 99%
See 1 more Smart Citation
“…Using artificial neural networks ANN, suggest a method for fault diagnosis and prognostics of rolling element bearings [52]. Time-varying failure rate and weather conditions are used to analyze the failure of PV systems, in contrast to the conventional failure model [53]. To select the diagnostic methods and techniques decision-making model, mostly used in predictive maintenance programs [54].…”
Section: A Diagnostic Of Electronic Componentsmentioning
confidence: 99%
“…These seminal drivers have led both public and private sector decision-makers to believe that the transition towards renewable and sustainable energy is imperative. Consequently, in the past few years, renewable energy (RE) resources have gained prodigious attention [4][5][6][7][8][9][10][11][12][13][14]. In 2014, the European Council issued the Framework for Climate and Energy with a target of 27% share of renewable energy consumption by the year 2030 [15,16].…”
Section: Introductionmentioning
confidence: 99%