Online PMSM Stator Interturn Fault Detection Aided by Phase Angle Diagnosis of Zero-sequence Components

2021 ◽  
pp. 193-206
Author(s):  
Yecheng Zhang ◽  
Gai Liu
Keyword(s):  
Fault Detection ◽  
Phase Angle ◽  
Sequence Components ◽  
Zero Sequence

scholarly journals Design of an Enhanced FLC-Based Controller for Selective Harmonic Compensation in Active Power Filters

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2052
Author(s):  
Odair de Barros Junior ◽  
Thiago Silva Amorim ◽  
Daniel Carletti ◽  
Anselmo Frizera Neto ◽  
Lucas Frizera Encarnação
Keyword(s):  
Power Grid ◽  
Active Power ◽  
Sequence Information ◽  
Harmonic Compensation ◽  
Active Power Filters ◽  
Electrical Grid ◽  
Power Filters ◽  
New Strategy ◽  
Sequence Components ◽  
Zero Sequence

The increasing number of electronic loads has introduced several harmonics into the power system, leading to a growth in the importance of filters intended for their mitigation. Thus, it is important to have the knowledge to select operational limits of each new filter connected in the power grid. Likewise, obtaining these harmonics requires robust tracking systems that provide enough information for better filter selectivity. This paper proposes a selective harmonic active filter control based on Fourier linear combiner (FLC) algorithms for a three-phase electrical grid. The presented system is enabled to track each harmonic order and sequence components with great robustness, extracting positive, negative, and zero sequence information from each harmonic for further filter selectivity. It also proposes a new strategy to improve the FLC-based algorithms in tracking frequencies in power grid disturbances. Simulated results of the algorithm and a real-time simulation of a selective active power filter (SAPF) were presented, validating the performance in several scenarios.

scholarly journals Estimation of Phase Angle Jump (PAJ) for Different Types of Faults and Unbalancing in Distribution System

2018 ◽  
Vol 7 (4.38) ◽  
pp. 23 ◽  
Author(s):  
Muhammad Fawad Shaikh ◽  
Madad Ali Shah ◽  
Sunny Katyara ◽  
Bhawani Shankar Chowdhry
Keyword(s):  
Phase Angle ◽  
Power Supply ◽  
Distribution System ◽  
Research Work ◽  
Voltage Sag ◽  
Voltage Unbalance ◽  
Voltage Drops ◽  
Different Types ◽  
Zero Sequence ◽  
Types Of Faults

Voltage sag caused by the faults in the power system has serious power quality issues and sometimes leads to interruption of power supply. The characteristics of voltage sag are its magnitude, time and phase angle jump (PAJ). This paper represents the estimation of phase angle jump (PAJ) when different types of faults are occurred in distribution system. Since the unbalancing is one of the major issues in distribution system that increases the zero sequence currents, over heats the distribution transformer, causes huge voltage drops in distributor etc. Therefore, the method used in this paper shows the PAJ when distributor is unbalance due to uneven loading or the line parameters of the distributor are unsymmetrical. Simple radial system is used to analyze the PAJ caused by the different types of faults and unbalancing. Different comparisons are made that are associated with PAJ such as PAJ vs fault impedance, zero sequence current and percentage of voltage unbalance. The research work is performed on MATLAB/SIMULINK to analyze the real time results.  

Demagnetisation fault detection in PMSM using zero sequence current components

2017 ◽  
Vol 53 (3) ◽  
pp. 148-150 ◽  
Author(s):  
Shichuan Ding ◽  
Jun Hang ◽  
Hao Li ◽  
Qunjing Wang
Keyword(s):  
Fault Detection ◽  
Zero Sequence

Torque Improvement of Dual Three-Phase Permanent Magnet Machine Using Zero Sequence Components

2017 ◽  
Vol 53 (11) ◽  
pp. 1-4 ◽  
Author(s):  
K. Wang ◽  
J. Y. Zhang ◽  
Z. Y. Gu ◽  
H. Y. Sun ◽  
Z. Q. Zhu
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Machine ◽  
Three Phase ◽  
Sequence Components ◽  
Zero Sequence

Wavelet Based Induction Motor Fault Diagnosis Using Zero Sequence Current

2017 ◽  
Vol 14 (1) ◽  
pp. 411-420
Author(s):  
W Abitha Memala ◽  
V Rajini
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Induction Motor ◽  
Load Condition ◽  
Discrete Wavelet ◽  
Sequence Components ◽  
Zero Sequence ◽  
Stationary Reference Frame ◽  
Parseval’S Theorem ◽  
Stator Fault

Induction motor stator fault is diagnosed by applying Discrete Wavelet transform on zero sequence components. The single phasing stator fault is created and diagnosed in the induction motor model developed in stationary reference frame, under varying load conditions. The stator inter-turn incipient fault is created and diagnosed in the induction motor experimental setup as well under no load condition. The qdo components are calculated from Park’s equations. The faults can be diagnosed from wavelet transform of the zero sequence current components. PSD is used for diagnosing the fault and the statistical value is used for verifying the result. The energy is calculated using Parseval’s theorem. The energy and the statistical data calculated from the wavelet coefficients of zero sequence current components are used as fault indicators. The energy value is able to reveal the fault severity in the induction motor stator winding. Power spectral Density along with Discrete Wavelet Transform plays very important role in diagnosing the fault.

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