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Energies
Article . 2023 . Peer-reviewed
License: CC BY
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Energies
Article . 2023
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Modelling and Analysis of Inter-Turn Short-Circuit Faults for Large-Power SPM Wind Generators

Authors: Zeting Mei; Guangjin Li; Ziqiang Zhu; Richard Clark; Arwyn Thomas; Ziad Azar;

Modelling and Analysis of Inter-Turn Short-Circuit Faults for Large-Power SPM Wind Generators

Abstract

This paper proposes a general analytical model for large-power surface-mounted permanent magnet (SPM) wind generators under inter-turn short-circuit (ITSC) faults. In the model, branch currents rather than phase currents are used as state variables to describe the electromagnetic behavior of the faulty machine. In addition, it is found that the multiphase Clarke transformation can be used to simplify the proposed fault model with the inductances calculated analytically or numerically using finite element analysis. With the latter, both linear and nonlinear inductances can be obtained, and the non-linear inductances are used for the fault modelling of large power rating machines due to larger electrical loading and heavier magnetic saturation. With the developed fault model, studies of scaling effects (different power ratings such as 3 kW, 500 kW and 3 MW) and the influence of fault location on the electromagnetic performance of SPM generators with series-parallel coil connections have been carried out. The simulation results show that large-power SPM wind generators are vulnerable to ITSC faults when a relatively small number of turns are short-circuited and a single-turn short-circuit fault at the top of the slot is found to be the worst case.

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Keywords

series-parallel coil connections, SPM wind generators, Technology, inter-turn short circuit, T, multiphase Clarke transformation, inter-turn short circuit; multiphase Clarke transformation; series-parallel coil connections; SPM wind generators

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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!
2
Average
Average
Average
gold