On bivariate compound exponentiated survival function of the beta distribution: estimation and prediction

Mahmoud, A.A.M.; Khashab, Rana H.; Kalantan, Zakiah I.; Saleh Binhimd, Sulafah M.; Alghamdi, Amani S.; Nassr, Said G.

doi:10.1016/j.jrras.2024.100886

Journal of Radiation Research and Applied Sciences

2024

DOI: 10.1016/j.jrras.2024.100886

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On bivariate compound exponentiated survival function of the beta distribution: estimation and prediction

A.A.M. Mahmoud,

Rana H. Khashab,

Zakiah I. Kalantan

et al.

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2024

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Cited by 2 publications

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A new extension of the Gumbel distribution with biomedical data analysis

Daud,

Suleiman,

Ishaq

et al. 2024

Journal of Radiation Research and Applied Sciences

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A new extension of the Gumbel distribution with biomedical data analysis

Daud,

Suleiman,

Ishaq

et al. 2024

Journal of Radiation Research and Applied Sciences

View full text Add to dashboard Cite

Risk assessment and electrical control of high-permeability renewable energy photovoltaic system under extreme weather conditions

Dong,

Yu,

Hao

et al. 2024

Applied Mathematics and Nonlinear Sciences

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High-permeability photovoltaic (PV) systems are a key technical way to bring about new energy changes in electric power networks. Risk assessment and electrical regulation during extreme weather can make PV systems with high permeability work much more efficiently during severe weather. We establish an operational risk model for a high penetration rate PV system using the PV probability model, load parameter model, and probabilistic trend calculation model. Based on the results of the tidal current calculation, the risk assessment indexes of PV systems are constructed, including the voltage overrun risk index and branch circuit tidal current overrun risk index. The Monte Carlo simulation method using the Latin hypercubic sampling method is used to simulate the operational loads of PV systems under extreme weather conditions such as windy, rainy, and snowy conditions and to form a fault simulation set. Finally, we implement the QMC method to assess the risk of PV systems with high permeability and use the RBF neural network design to achieve automatic control of PV electrical equipment. When the weather is the same extreme, the risk of overrun at each node goes up with the number of nodes. When the weather is different, the risk of voltage overrun at each node under ice-covered load goes up by about half compared to rain load, and the risk of active overrun at each branch goes up by almost six times compared to rain load.

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On bivariate compound exponentiated survival function of the beta distribution: estimation and prediction

Cited by 2 publications

References 26 publications

A new extension of the Gumbel distribution with biomedical data analysis

A new extension of the Gumbel distribution with biomedical data analysis

Risk assessment and electrical control of high-permeability renewable energy photovoltaic system under extreme weather conditions

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