Sensorless control and diagnosis of synchronous generator used in wind energy conversion system under inter turn short-circuit fault

Bouslimani, Samir; Drid, Saïd; Chrifi‐Alaoui, Larbi

doi:10.1504/ijpec.2019.102980

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, they generally have problems in identifying nonstationary time-varying signals and abrupt signals caused by nonlinear faults, which are difficult or even misidentified. As a result, fires, electrical breakdowns, personal accidents, burnout of switchgear, and damage to other devices are caused [16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Singular Signal Measurement Based on Bidirectional Recursive Complex-Valued Wavelet Algorithm

Xie

Huang

2022

Security and Communication Networks

View full text Add to dashboard Cite

The normal operation fault of the power system is usually caused by a short-circuit fault. At this time, the system changes drastically from one state to another, accompanied by complex transient phenomena. Therefore, the measured signal contains a large number of transient components. How to effectively analyze such signals, extract their characteristics, and develop new protection devices has always been an important research field in power system protection technology. The protection of the power system is to achieve the purpose of correct action and elimination of faults by quickly detecting and locating faults. At present, the power signal analysis tools used in microcomputer protection include FFT, Kalman filter, and finite impulse response filter. They are efficient for the analysis of stationary signals, but have their limitations in analyzing nonstationary signals; especially it is difficult to identify nonlinear faults, such as the detection of high-impedance nonlinear short-circuit faults, which is a long-term unsolved problem in power systems. Based on wavelet transform, this paper selects complex-valued wavelet algorithm, analyzes a real-time recursive wavelet algorithm, and deduces the realization process of the algorithm in detail. The algorithm greatly reduces the computational complexity of the existing two-way recursive algorithm, can be used for real-time detection of fault signals in various fields of power system, and can be extended to realize other fast recursive algorithms of wavelet functions. Based on the sensitivity of complex-valued wavelet transform phase information to singularity, a method for real-time monitoring of power system fault mutation signals using the phase information of complex-valued wavelet fast recursion algorithm to assist amplitude information is proposed. The validity and practicability of this complex-valued wavelet and its real-time recursive algorithm for fault detection are demonstrated by an example.

show abstract

Section: Introductionmentioning

confidence: 99%

Singular Signal Measurement Based on Bidirectional Recursive Complex-Valued Wavelet Algorithm

Xie

Huang

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

On line inter-turn short-circuit fault diagnosis and nonlinear control of PMSM

Bouslimani

Drid

Chrifi‐Alaoui

et al. 2022

2022 19th International Multi-Conference on Systems, Signals &Amp; Devices (SSD)

View full text Add to dashboard Cite

Sensorless control and diagnosis of synchronous generator used in wind energy conversion system under inter turn short-circuit fault

Cited by 3 publications

References 0 publications

Singular Signal Measurement Based on Bidirectional Recursive Complex-Valued Wavelet Algorithm

Singular Signal Measurement Based on Bidirectional Recursive Complex-Valued Wavelet Algorithm

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

On line inter-turn short-circuit fault diagnosis and nonlinear control of PMSM

Contact Info

Product

Resources

About