scholarly journals Spectrum Analysis for Condition Monitoring and Fault Diagnosis of Ventilation Motor: A Case Study

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2001
Author(s):  
Noman Shabbir ◽  
Lauri Kütt ◽  
Bilal Asad ◽  
Muhammad Jawad ◽  
Muhammad Naveed Iqbal ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Power Systems ◽  
Power Quality ◽  
Power Factor ◽  
Spectrum Analysis ◽  
Frequency Converter ◽  
Ventilation System ◽  
Time Data ◽  
Motor Failure

In modern power systems, since most loads are inductive by nature, there is an ongoing power quality issue and researchers’ interest in improving the power factor is widespread, as inductive loads have a low power factor that depletes the system’s capacity and has an adverse effect on the voltage level. The measurement and acute analysis of voltage- and current-level waveforms is essential to tackle power quality issues. This article presents a detailed case study and analysis of real-time data measured from a frequency converter, which is used to operate the motor of a ventilation system. The output of the frequency converter is a highly distorted current wave. A hybrid Fourier transform (FT)- and wavelet transform-based solution has been proposed here to diagnose and identify the causes of motor failure in the ventilation system. The traditional FT did not give a detailed analysis of this type of signal, which is highly contaminated by noise. Therefore, first, the signal is preprocessed for data denoising using the wavelet transform. Second, the Fourier analysis is performed on the filtered signal for frequency analysis and segregation of fundamental frequency components, higher-order harmonics, and suppressed noise. The spectrum analysis reveals that the noise is generated due to the rapidly switching circuits in the frequency converter and this unfiltered signal at the output of the frequency converter causes motor failure.

scholarly journals A Hybrid Approach to Classify Power Quality Problems in Distribution Systems

2021 ◽  
Author(s):  
Okan Ozgonenel ◽  
◽  
Kubra Nur Akpinar ◽  
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Electromagnetic Interference ◽  
Distribution Systems ◽  
Electrical Power ◽  
Hybrid Approach ◽  
Principal Component ◽  
Discrete Wavelet ◽  
Time Data ◽  
Power Quality Disturbances

Electrical power systems are expected to transmit continuously nominal rated sinusoidal voltage and current to consumers. However, the widespread use of power electronics has brought power quality problems. This study performs classification of power quality disturbances using an artificial neural network (ANN). The most appropriate ANN structure was determined using the Box-Behnken experimental design method. Nine types of disturbance (no fault, voltage sag, voltage, swell, flicker, harmonics, transient, DC component, electromagnetic interference, instant interruption) were investigated in computer simulations. The feature vectors used in the identification of the different types of disturbances were produced using the discrete wavelet transform and principal component analysis. Our results show that the optimized feed forward multilayer ANN structure successfully distinguishes power quality disturbances in simulation data and was also able to identify these disturbances in real time data from substations.

scholarly journals Design of Power Quality Virtual Lab Toolbox using LabVIEW/Multisim

2021 ◽  
Vol 19 ◽  
pp. 143-148
Author(s):  
S. Haidar ◽  
◽  
E. Moussa ◽  
M. El Hassan ◽  
M. Badawi El Najjar
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Power Factor ◽  
Influence Factor ◽  
Harmonic Distortion ◽  
Current Transformer ◽  
Quality Indices ◽  
Voltage Transformer ◽  
Virtual Lab ◽  
Electrical Engineers

This paper presents a Power Quality (PQ) virtual lab that can be used by electrical engineers (EE) to enhance their knowledge and awareness on power quality disturbances in accordance to power quality standards. It will offer the EE the facility to become more aware about the problems tackling power systems and nonlinear devices, and their effects on the power quality indices. This work is built using NI LabVIEW/Multisim and is composed out of many simulations and experiments each with its learning objectives. The established measured power quality indices are mainly the root mean square (RMS), the total harmonic distortion (THD), the distortion index (DIN), the telephone influence factor (TIF), the crest factor (CF), the voltage transformer product (VT), the current transformer product (IT), the displacement power factor (DPF), the true power factor (TPF) and the unbalance factor (UF). Each of these indices is measured and analyzed in order to check how they are affected by the PQ issues.

Unified Power Quality Conditioner Using Injection Capacitors for Voltage Sag Compensation

2017 ◽  
Vol 6 (1) ◽  
pp. 36
Author(s):  
Madhusmita Patro ◽  
Kanhu Charan Bhuyan
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Power Factor ◽  
Supply Voltage ◽  
Voltage Source ◽  
Distortion Compensation ◽  
Unified Power Quality Conditioner ◽  
Three Phase ◽  
In Series ◽  
Power Quality Conditioner

<p>Power quality has become an important factor in power systems, for consumer and household appliances. The main causes of poor power quality are harmonic currents, poor power factor, supply voltage variations etc. A technique of achieving both active current distortion compensation, power factor correction and also mitigating the supply voltage variations at load side is compensated by unique device UPQC presented in this thesis. This concept presents a multi loop based controller to compensate power quality problems through a three phase four wire unified power quality conditioner (UPQC) under unbalanced and distorted load conditions. Here the UPQC is constituted of two voltage source converters (VSC) connected via power link. The series compensator is connected to the line in series and injects the voltage and thus compensates for voltage issues; whereas the shunt compensator injects current thus compensating for current issues, and is connected in shunt to the line. The voltage injection to the line uses an injecting transformer. The injection transformer is later replaced with injection capacitors, thus eliminating the drawback of conventional UPQC. In this way a good power quality is maintained.</p>

Unified Power Quality Conditioner Using Injection Capacitors for Voltage Sag Compensation

2017 ◽  
Vol 6 (1) ◽  
pp. 35
Author(s):  
Madhusmita Patro ◽  
Kanhu Charan Bhuyan
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Power Factor ◽  
Supply Voltage ◽  
Voltage Source ◽  
Distortion Compensation ◽  
Unified Power Quality Conditioner ◽  
Three Phase ◽  
In Series ◽  
Power Quality Conditioner

<p>Power quality has become an important factor in power systems, for consumer and household appliances. The main causes of poor power quality are har ue of achieving active current distortion compensation, power factor monic currents, poor power factor, supply voltage variations etc. A techniq correction and also mitigating the supply voltage variations at load side is compensated by unique device UPQC presented in this thesis. This concept presents a multi loop based controller to compensate power quality problems through a three phase four wire Unified Power Quality Conditioner (UPQC) under unbalanced and distorted load conditions. Here the UPQC is constituted of two Voltage Source Converters (VSC) connected via power link. The series compensator is connected to the line in series and injects the voltage and thus compensates for voltage issues; whereas the shunt compensator injects current thus compensating for current issues, and is connected in shunt to the line. The voltage injection to the line uses an ijecting transformer. The injection transformer is later replaced with injection capacitors, thus eliminating the drawback of conventional UPQC. In this way a good power quality is maintained</p>

Implementation of Power Quality Event Detector on a FPGA-Based System

2012 ◽  
Vol 433-440 ◽  
pp. 3918-3922
Author(s):  
Chiung Chou Liao ◽  
Ming Xuan Gu
Keyword(s):  
Wavelet Transform ◽  
Power Systems ◽  
White Noise ◽  
Power Quality ◽  
Noise Suppression ◽  
Discrete Wavelet ◽  
Digital Device ◽  
Digital Implementation ◽  
Power Company ◽  
Significant Disturbance

The discrete wavelet transform (DWT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with an empirically-given threshold. However, as the signal under analysis contains noises, especially the white noise with flat spectrum, the threshold is difficult to give. Due to the nature of flat spectrum, a filter cannot just get rid of the noise without removing the significant disturbance signals together. To enhance the WT technique in processing the noise-riding signals, this paper proposes a noise-suppression algorithm. The abilities of the WT in detecting and localizing the disturbances can hence be restored. Finally, this paper employed the actual data obtained from the practical power systems of Taiwan Power Company (TPC) to validate by digital implementation on an FPGA-based digital device for real-time de-noising function of the monitored PQ DWT data.

scholarly journals Optimal Allocation of Active Power Filter On real distribution network for improvement of power quality by use of BBO: A case study

2017 ◽  
Vol 18 (1) ◽  
pp. 85-99 ◽  
Author(s):  
Emad Samadaei ◽  
Alireza Khosravi ◽  
Abdolreza Sheikholeslami
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Optimal Allocation ◽  
Distribution Network ◽  
Harmonic Distortion ◽  
Active Power Filter ◽  
Active Power ◽  
Harmonic Compensation ◽  
Power Filter

ABSTRACT:  According to development of power electronics device, harmonic distortion spread on the network. Thus harmonic is a threat for instrument, network, decreasing of line capacity and etc. Active power filter (APF) can be employed for harmonic compensation in power systems. In this paper a distorted distribution feeder is considered and analyzed from power quality viewpoint using power analyzer device and simulated in MATLAB-Mfile. Then the size and place of active power filters are determined by use of Biogeography Based Optimization (BBO). The goal of this optimization is minimizing of losses and total harmonic distortion (THD) in feeder by considering economical cost.  The performance of the approaches are assessed and appreciated by a case study on the Ghaemshahr-Iran Distribution network. Measurement is done on the city network by power analyzer CA8310. All data was collected on Computer. Then researcher algorithm BBO, it is selected the best place and size for Active power filter. The results show a good performance.

scholarly journals A review on different control techniques using DSTATCOM for distribution system studies

2019 ◽  
Vol 10 (2) ◽  
pp. 813 ◽  
Author(s):  
K. Swetha ◽  
V. Sivachidambaranathan
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Power Factor ◽  
Distribution System ◽  
Reactive Power ◽  
Voltage Sag ◽  
Current Frequency ◽  
Control Techniques ◽  
Detailed Explanation ◽  
Harmonic Elimination

This paper focus on distribution system by applying different control techniques in order to improve the performance of the system. In the distribution system mainly concentrate on power quality issues like reactive power control, harmonic elimination, power factor correction, etc. Because of power quality problems voltage, current, frequency are continuously changing in power systems. These changes will effects the performance of power systems. Power quality problems can be compensated by placing DSTATCOM which is connected at PCC in parallel. It is shunt connected VSI along with the filters, with the help of DSTATCOM voltage sag, swell and THD can be controlled. This paper presents detailed explanation about performance and configuration of latest control techniques to control the DSTATCOM.

scholarly journals Instantaneous Disturbance Index for Power Distribution Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1348
Author(s):  
María Dolores Borrás-Talavera ◽  
Juan Carlos Bravo ◽  
César Álvarez-Arroyo
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Power Quality ◽  
Power Distribution ◽  
Distribution Networks ◽  
Accurate Estimation ◽  
Time Data ◽  
Power Distribution Networks ◽  
Disturbance Index ◽  
The Impact

The stability of power systems is very sensitive to voltage or current variations caused by the discontinuous supply of renewable power feeders. Moreover, the impact of these anomalies varies depending on the sensitivity/resilience of customer and transmission system equipment to those deviations. From any of these points of view, an instantaneous characterization of power quality (PQ) aspects becomes an important task. For this purpose, a wavelet-based power quality indices (PQIs) are introduced in this paper. An instantaneous disturbance index (ITD(t)) and a Global Disturbance Ratio index (GDR) are defined to integrally reflect the PQ level in Power Distribution Networks (PDN) under steady-state and/or transient conditions. With only these two indices it is possible to quantify the effects of non-stationary disturbances with high resolution and precision. These PQIs offer an advantage over other similar because of the suitable choice of mother wavelet function that permits to minimize leakage errors between wavelet levels. The wavelet-based algorithms which give rise to these PQIs can be implemented in smart sensors and used for monitoring purposes in PDN. The applicability of the proposed indices is validated by using a real-time experimental platform. In this emulated power system, signals are generated and real-time data are analyzed by a specifically designed software. The effectiveness of this method of detection and identification of disturbances has been proven by comparing the proposed PQIs with classical indices. The results confirm that the proposed method efficiently extracts the characteristics of each component from the multi-event test signals and thus clearly indicates the combined effect of these events through an accurate estimation of the PQIs.

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