scholarly journals An Identification of Multiple Harmonic Sources in a Distribution System by Using Spectrogram

2018 ◽  
Vol 7 (2) ◽  
pp. 244-256
Author(s):  
M. H. Jopri ◽  
A. R. Abdullah ◽  
M. Manap ◽  
T. Sutikno ◽  
M. R. Ab Ghani
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Flow Direction ◽  
Correct Identification ◽  
Power Distribution System ◽  
Time Frequency ◽  
Frequency Representation ◽  
Identification Technique ◽  
Cost Efficient

The identification of multiple harmonic sources (MHS) is vital to identify the root causes and the mitigation technique for a harmonic disturbance. This paper introduces an identification technique of MHS in a power distribution system by using a time-frequency distribution (TFD) analysis known as a spectrogram. The spectrogram has advantages in term of its accuracy, a less complex algorithm, and use of low memory size compared to previous methods such as probabilistic and harmonic power flow direction. The identification of MHS is based on the significant relationship of spectral impedances, which are the fundamental impedance (Z1) and harmonic impedance (Zh) that estimate the time-frequency representation (TFR). To verify the performance of the proposed method, an IEEE test feeder with several different harmonic producing loads is simulated. It is shown that the suggested method is excellent with 100% correct identification of MHS. The method is accurate, fast and cost-efficient in the identification of MHS in power distribution arrangement.

An Improved of Multiple Harmonic Sources Identification in Distribution System with Inverter Loads by Using Spectrogram

2016 ◽  
Vol 7 (4) ◽  
pp. 1355
Author(s):  
M.H. Jopri ◽  
A.R. Abdullah ◽  
M. Manap ◽  
M.R. Yusoff ◽  
T. Sutikno ◽  
...  
Keyword(s):  
Significant Relationship ◽  
Distribution System ◽  
Correct Identification ◽  
Time Frequency ◽  
Sources Identification ◽  
Frequency Representation ◽  
Cost Efficient ◽  
Relationship Of ◽  
Accuracy Speed ◽  
Time Frequency Distribution

This paper introduces an improved of multiple harmonic sources identification that been produced by inverter loads in power system using time-frequency distribution (TFD) analysis which is spectrogram.  The spectrogram is a very applicable method to represent signals in time-frequency representation (TFR) and the main advantages of spectrogram are the accuracy, speed of the algorithm and use low memory size such that it can be computed rapidly. The identification of multiple harmonic sources is based on the significant relationship of spectral impedances which are the fundamental impedance (Z1) and harmonic impedance (Zh) that extracted from TFR. To verify the accuracy of the proposed method, MATLAB simulations carried out several unique cases with different harmonic producing loads on IEEE 4-bus test feeder cases. It is proven that the proposed method is superior with 100% correct identification of multiple harmonic sources. It is envisioned that the method is very accurate, fast and cost efficient to localize harmonic sources in distribution system.

scholarly journals A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and Classification Analysis

2017 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
M.H. Jopri ◽  
A.R. Abdullah ◽  
T. Sutikno ◽  
M. Manap ◽  
M.R. Yusoff
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Gabor Transform ◽  
Classification Analysis ◽  
Power Distribution System ◽  
Percent Correct ◽  
Time Frequency ◽  
Harmonic Signals ◽  
Threshold Setting

This paper presents a utilization of improved Gabor transform for harmonic signals detection and classification analysis in power distribution system.  The Gabor transform is one of time frequency distribution technique with a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The estimation of spectral information can be obtained from TFR in order to identify the characteristics of the signals. The detection and classification of harmonic signals for 100 unique signals with numerous characteristic of harmonics with support of rule-based classifier and threshold setting that been referred to IEEE standard 1159 2009. The accuracy of proposed method is determined by using MAPE and the outcome demonstrate that the method gives high accuracy of harmonic signals classification. Additionally, Gabor transform also gives 100 percent correct classification of harmonic signals. It is verified that the proposed method is accurate and cost efficient in detecting and classifying harmonic signals in distribution system.

scholarly journals DISTRIBUTED GENERATION IMPACT ON DISTRIBUTION NETWORKS: A REVIEW

2014 ◽  
pp. 190-194
Author(s):  
GOPIYA NAIK. S ◽  
D. K. KHATOD ◽  
M. P. SHARMA
Keyword(s):  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Networks ◽  
Loss Reduction ◽  
Power Distribution System ◽  
Power Loss Reduction ◽  
Planning Methods ◽  
Voltage Support

The concept of traditional distribution networks with unidirectional power flow is weakening due to large penetration of Distributed Generation (DG). The penetration of DG may impact the operation of a distribution network in both beneficial and detrimental ways. Some of the positive impacts of DG are voltage support, power loss reduction, support of ancillary services and improved reliability, whereas negative ones include protection coordination, dynamic stability and islanding. Therefore, proper planning methods that evaluate the composite impacts, i.e. technical, economical and environmental impacts of DG integration to existing distribution networks are very much essential. This paper presents a critical review of various impacts of DG on power distribution system. For ease of reference and to facilitate better understanding this literature is categorized and discussed under five major headings.

scholarly journals A comparative study on common power flow techniques in the power distribution system of the Tehran metro

2018 ◽  
Vol 12 (4) ◽  
pp. 244-250 ◽  
Author(s):  
Mohammad Ghiasi
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Flow Analysis ◽  
Electrical Energy ◽  
Power Grids ◽  
Power Distribution System ◽  
Detailed Assessment ◽  
Flow Techniques

Overall, a power-flow study is a steady-state assessment whose goal is to specify the currents, voltages, and real and reactive flows in a power system under a given load conditions. This paper presents a comparison of common power flow techniques in the Tehran metro power distribution system at the presence of non-linear loads. Moreover, a modelling, simulation and analysis of this power distribution system is implemented with the Electrical Transient Analyser Program (ETAP) software. In this assessment, common power flow techniques including the Newton-Raphson (NR), Fast Decoupled (FD), and Accelerated Gauss-Seidel (AGS) techniques are provided and compared. The obtained results (total generation, loading, demand, system losses, and critical report of the power flow) are analysed. In this paper, we focus on the detailed assessment and monitoring by using the most modern ETAP software, which performs numerical calculations of a large integrated power system with fabulous speed and also generates output reports. The capability and effectiveness of the power flow analysis are demonstrated according to the simulation results obtained with ETAP by applying it to the power distribution system of the Tehran metro. In developing countries such as Iran, off-line modelling and simulation of power grids by a powerful software are beneficial and helpful for the best usage of the electrical energy.

scholarly journals An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram

2017 ◽  
Vol 7 (1) ◽  
pp. 12
Author(s):  
M.H. Jopri ◽  
A.R. Abdullah ◽  
M. Manap ◽  
M.R. Yusoff ◽  
T. Sutikno ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Percent Correct ◽  
Time Frequency ◽  
Harmonic Signals ◽  
Classification Technique ◽  
Result Show ◽  
Cost Efficient ◽  
Rule Based Classifier

This paper introduces an improved detection and classification technique of harmonic signals in power distribution using time-frequency distribution (TFD) analysis which is spectrogram.  The spectrogram is an appropriate approach to signify signals in jointly time-frequency domain and known as time frequency representation (TFR). The spectral information of signals can be observed and estimated plainly from TFR due to identify the characteristics of the signals. Based on rule-based classifier and the threshold settings that referred to IEEE Standard 1159 2009, the detection and classification of harmonic signals for 100 unique signals consist of various characteristic of harmonics are carried out successfully. The accuracy of proposed method is examined by using MAPE and the result show that the technique provides high accuracy. In addition, spectrogram also gives 100 percent correct classification of harmonic signals. It is proven that the proposed method is accurate, fast and cost efficient for detecting and classifying harmonic signals in distribution system.

scholarly journals Determination of Different Fault Features in Power Distribution System Based on Wavelet Transform

2019 ◽  
Vol 8 (4) ◽  
pp. 6256-6261
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Power Distribution ◽  
Distribution System ◽  
High Speed ◽  
Short Circuit ◽  
Voltage Waveform ◽  
Power Distribution System ◽  
Time Frequency ◽  
Skewness And Kurtosis

Nowadays, there are various signal processing methods that have been studied by many researchers in order to detect faults in power lines. From previous literature, signal processing that works based on time frequency analysis has been proven to accurately detect faults at high speed. In this study, wavelet transform is adopted to analyse fault occurrences on power line of distribution network. Three types of faults due to lightning, switching and short circuit fault were analysed based on their voltage waveform profiles. ‘Daubechies’ 4 (db4) mother wavelet and four levels decomposition were implemented to extract the features. Approximation at level 4 (A4) and detail coefficient at level 1 to 4 (D1-D4) were extracted to evaluate the energy, skewness, and kurtosis. Based on the results, lightning showed the highest energy, skewness and kurtosis compared to the short circuit and switching voltage waveform. Therefore, these features can be utilized as the new parameters for fault detection in a power system network

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