An experimental study for the islanding detection by the harmonic distortion method and protection system of the inverter

2019 ◽  
Vol 1 (4) ◽  
pp. 234-238
Author(s):  
Sabrije OSMANAJ
Keyword(s):  
Experimental Study ◽  
Harmonic Distortion ◽  
Protection System ◽  
Islanding Detection

A New Islanding Detection Method Based on Wavelet-transform and ANN for Micro-grid Including Inverter Assisted Distributed Generator

2019 ◽  
Vol 20 (5) ◽  
Author(s):  
Zhengyuan Guan ◽  
Yuan Liao
Keyword(s):  
Wavelet Transform ◽  
Harmonic Distortion ◽  
Distribution Networks ◽  
Islanding Detection ◽  
Detection Zone ◽  
Distributed Generator ◽  
Voltage Unbalance ◽  
Typical Distribution ◽  
Artificial Neural Network Ann ◽  
Ann Classifier

Abstract This paper presents a new composite approach based on wavelet-transform and ANN for islanding detection of distributed generation (DG). The proposed method first uses wavelet-transform to detect the occurrence of events, and then uses artificial neural network (ANN) to classify islanding and non-islanding events. Total harmonic distortion and voltage unbalance are extracted as feature inputs for ANN classifier. The performance of the proposed method is tested by simulations for two typical distribution networks based on MATLAB/Simulink. The results show that the developed method can effectively detect islanding with low misclassification. The method has the advantages of small non-detection zone and robustness against noises.

scholarly journals Comparative Study in Determining Features Extraction for Islanding Detection using Data Mining Technique: Correlation and Coefficient Analysis

2017 ◽  
Vol 7 (3) ◽  
pp. 1112 ◽  
Author(s):  
Aziah Khamis ◽  
Yan Xu ◽  
Azah Mohamed
Keyword(s):  
Data Mining ◽  
Power Distribution ◽  
Distribution System ◽  
Harmonic Distortion ◽  
Rate Of Change ◽  
Support Vector ◽  
Islanding Detection ◽  
Data Mining Technique ◽  
Detection Scheme ◽  
Power Distribution System

A comprehensive comparison study on the datamining based approaches for detecting islanding events in a power distribution system with inverter-based distributed generations is presented. The important features for each phase in the island detection scheme are investigated in detail. These features are extracted from the time-varying measurements of voltage, frequency and total harmonic distortion (THD) of current and voltage at the point of common coupling. Numerical studies were conducted on the IEEE 34-bus system considering various scenarios of islanding and non-islanding conditions. The features obtained are then used to train several data mining techniques such as decision tree, support vector machine, neural network, bagging and random forest (RF). The simulation results showed that the important feature parameters can be evaluated based on the correlation between the extracted features. From the results, the four important features that give accurate islanding detection are the fundamental voltage THD, fundamental current THD, rate of change of voltage magnitude and voltage deviation. Comparison studies demonstrated the effectiveness of the RF method in achieving high accuracy for islanding detection.

Experimental Study of the Leakage Current in Coated Insulators Under Salt-Fog Conditions

2019 ◽  
Vol 2 (3) ◽  
pp. 2
Author(s):  
Hugo Linhares Dias Espinola ◽  
Ivan José da Silva Lopes
Keyword(s):  
Experimental Study ◽  
Leakage Current ◽  
Preventive Measures ◽  
Harmonic Distortion ◽  
Relevant Information ◽  
Timely Manner ◽  
Hydrophobic Coatings ◽  
Glass Insulator ◽  
Salt Fog ◽  
Insulation Condition

The accumulation of contaminants in electrical insulators reduce their performance and may lead to failures. Estimating the degree of pollution of in-service equipment is not a trivial task as the process of contamination depends on several factors. It is necessary to monitor the insulators so that preventive measures can be taken in a timely manner. In this context, this paper aims to study how the amplitude, angular phase and total harmonic distortion (THD) of the leakage current can be used to monitor insulators and how these parameters are affected by the application of hydrophobic coatings. For this purpose, standard uncoated and coated glass insulator samples were subjected to electrical tests in a salt-fog chamber while the leakage current was monitored. The results show that the analyzed parameters provide relevant information about the insulation condition and how the application of hydrophobic coatings results in improvements in the insulator performance.

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