Stator fault detection of the PMSG under the sliding mode control in wind energy conversion system

Bouslimani, Samir; Chrifi‐Alaoui, Larbi; Merad, Samir; Delahoche, Laurent; Bussy, P.; Drid, Saïd

doi:10.1109/sta56120.2022.10019025

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…Figure 8 shows the proposed technique based on a symmetrical PMSM in the (a, b, c) coordinate system; accordingly, the flux components generated by the permanent magnet are given as (Bouslimani et al 2022(Bouslimani et al , 2019(Bouslimani et al , 2016 :…”

Section: The Proposed Estimation Mras For the Per-phase Values Stator...mentioning

confidence: 99%

State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control

Bouslimani¹,

Meradi

Drid³

et al. 2023

Power Electronics and Drives

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This paper proposes a method for the diagnosis of stator inter-turn short-circuit fault for permanent magnet synchronous generators (PMSG). Inter-turn short-circuit currents are among the most critical in PMSG. For safety considerations, a fast detection is required when a fault occurs. This approach uses the parameter estimation of the per-phase stator resistance in closed-loop control of variable speed of wind energy conversion system (WECS). In the presence of an incipient short-circuit fault, the estimation of the resistance of the stator in the d-q reference frame does not make it possible to give the exact information. To solve this problem, a novel fault diagnosis scheme is proposed using parameter estimation of the per-phase stator resistance. The per-phase stator resistance of PMSG is estimated using the MRAS algorithm technique in real time. Based on a faulty PMSG model expressed in Park’s reference frame, the number of short-circuited turns is estimated using MRAS. Fault diagnosis is on line detected by analysing the estimated stator resistance of each phase according to the fault condition. The proposed fault diagnosis scheme is implemented without any extra devices. Moreover, the information on the estimated parameters can be used to improve the control performance. The simulation results demonstrate that the proposed method can estimate the faulty phase.

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Section: The Proposed Estimation Mras For the Per-phase Values Stator...mentioning

confidence: 99%

State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control

Bouslimani¹,

Meradi

Drid³

et al. 2023

Power Electronics and Drives

Self Cite

View full text Add to dashboard Cite

show abstract

Stator fault detection of the PMSG under the sliding mode control in wind energy conversion system

Cited by 1 publication

References 15 publications

State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control

State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control

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