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Reliability evaluation of SEIG rotor core magnetization with minimum capacitive excitation for unregulated renewable energy applications in remote areas

Authors: R. K. Saket; Lokesh Varshney;

Reliability evaluation of SEIG rotor core magnetization with minimum capacitive excitation for unregulated renewable energy applications in remote areas

Abstract

AbstractThis paper presents reliability evaluation of residual magnetism in rotor core of the induction motor operated as SEIG using probability distribution approach and Monte Carlo simulation for unregulated renewable energy applications in remote areas. Parallel capacitors with calculated minimum capacitive value across the terminals of the induction motor operated as SEIG with unregulated shaft speed are connected during the experimental study. A three phase, 4poles, 50Hz, 5.5hp, 12.3A, 230V induction motor coupled with DC Shunt Motor is tested in the electrical machine laboratory with variable reactive loads. Using this experimental study, it is possible to choose a reliable induction machines operated as SEIG for unregulated renewable energy application. Failure density function, cumulative failure distribution function, survivor function, hazard model, probability of success and probability of failure for reliability evaluation of the three phase induction motor operating as a SEIG have been presented graphically in this paper.

Keywords

SEIG, Residual magnetism, Engineering (General). Civil engineering (General), Renewable energy sources, Probability distribution, Magnetization curve, TA1-2040, Monte Carlo simulation

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    22
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
gold