Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/16146
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dc.contributor.authorGudimindla H.
dc.contributor.authorK M.S.
dc.date.accessioned2021-05-05T10:29:51Z-
dc.date.available2021-05-05T10:29:51Z-
dc.date.issued2020
dc.identifier.citationSustainable Energy Technologies and Assessments Vol. 42 , , p. -en_US
dc.identifier.urihttps://doi.org/10.1016/j.seta.2020.100800
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/16146-
dc.description.abstractPower flow control and peak point tracking are significant in grid-tied renewable energy systems to improve power factor and efficient energy extraction. In this paper, the design of robust controllers for the power electronic converters of the grid-connected PEM fuel cell with thermal modeling is deliberated. Further, the transfer function model of the power electronic converters is derived by considering uncertainty in system parameters. A low complexity algorithm is used to design the converter parameters from the uncertainty range. The proposed robust automated power flow controller is designed to minimize the objective function using a genetic algorithm in the quantitative feedback theory framework. The robustness and disturbance rejection with enhanced transient response of the proposed controller is evaluated under heavy and light loading conditions, DC-link voltage and grid voltage distortion uncertainty conditions are investigated. Finally, comprehensive simulations are performed to validate the proposed controller performance with the existing controller under the above-mentioned uncertainty conditions. © 2020 Elsevier Ltden_US
dc.titleDynamic performance evaluation of automated QFT robust controller for grid-tied fuel cell under uncertainty conditionsen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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