2023
DOI: 10.1109/tie.2022.3146540
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An Analytical Prediction Model of Balanced and Unbalanced Faults in Doubly Fed Induction Machines

Abstract: This paper presents the exact transient solution to the unbalanced and balanced faults in the doubly-fed induction machine (DFIM). Stator currents, rotor currents, and stator fluxes have been validated using simulation and experiment. The work is meant to strengthen and fasten the predictability of large DFIMs in the design stage to comply with mechanical constraints or grid fault issues. Moreover, the analytical approach reduces the computational costs of large-scale stability studies and is especially suited… Show more

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Cited by 5 publications
(1 citation statement)
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“…These results presented show the minimum and maximum errors obtained. The simulations, separately validated using SIMSEN [27], were performed with a system of state equations written in MATLAB. It can be concluded from the robustness study that the maximum error is less than 1 %, which verifies the quality and accuracy of the identification method.…”
Section: Parameter Identification Robustness Studymentioning
confidence: 99%
“…These results presented show the minimum and maximum errors obtained. The simulations, separately validated using SIMSEN [27], were performed with a system of state equations written in MATLAB. It can be concluded from the robustness study that the maximum error is less than 1 %, which verifies the quality and accuracy of the identification method.…”
Section: Parameter Identification Robustness Studymentioning
confidence: 99%