An Islanding Detection Method for Distributed Generations Using Voltage Unbalance and Total Harmonic Distortion of Current

2004 ◽  
Vol 19 (2) ◽  
pp. 745-752 ◽  
Author(s):  
S.-I. Jang ◽  
K.-H. Kim
Keyword(s):  
Detection Method ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Islanding Detection ◽  
Distributed Generations ◽  
Voltage Unbalance

scholarly journals Modeling of micro-grid with the consideration of total harmonic distortion analysis

2019 ◽  
Vol 15 (2) ◽  
pp. 581
Author(s):  
Ibrahim Alhamrouni ◽  
Wira Wahab ◽  
M. Salem ◽  
Nadia H. A. Rahman ◽  
Lili Awalin
Keyword(s):  
Harmonic Distortion ◽  
Rapid Expansion ◽  
Total Harmonic Distortion ◽  
Electricity Grid ◽  
Distributed Generations ◽  
Electrical Grid ◽  
Autonomous Mode ◽  
Quality Stability ◽  
Islanded Mode ◽  
Micro Grid

<p>With the rapid expansion of electricity grid, there yet still places to be covered considering their remote location. Micro-grid (MG) is a solution in this scenario, in fact, there is actually many cases where MG is used in case of emergency and act as a backup to the main electrical grid. By disconnecting itself from the larger grid, a grid that can have many problems, the micro-grid becomes much more flexible in its operations and by continuing to power households and communities alike. Besides grid-connected mode, it is necessary for the MG to operate in autonomous mode. By operating in islanded mode, micro-grids must be able to supply critical load without interruption, run at specific values for voltage and power and extract the maximum power from the distributed generations (DG). Therefore, the modeling of microgrid network considering solar photovoltaic(PV) and wind turbine generation (WTG) system as the distributed generation have been modeled using Matlab/Simulink in this research. Apart from that, the observation of total harmonic distortion(THD) between two operation modes of grid-connected and the islanded-mode is presented in order to analyze the power quality stability towards two operations MG network with same loads size and network parameters.</p>

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.

Islanding Detection in a Distribution System with Modified DG Interface Controller

2017 ◽  
Vol 6 (3) ◽  
pp. 135 ◽  
Author(s):  
Abbineni Sai Subhadra ◽  
P.Linga Reddy ◽  
Shailesh . B Modi
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution System ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Current Harmonics ◽  
Crucial Problem

Islanding detection of Distributed Generation (DG) is considered as one of the most important aspects when interconnecting DGs to the distribution system. It was the crucial problem in distributed generation. This detection phenomenon having a great importance. These detection methods are divided into active and passive islanding detection. These two methods are based on changing in parameters such as frequency, voltage and current harmonics. But these methods have some challenges such as reduction in power quality and large Non Detection Zone (NDZ). In this paper, the proposed method is change of Total harmonic distortion (THD) will be studied for islanding detection diagnosis. The studied system was considered by following the standard IEEE-1547 and UL-1741.The system was simulated using MATLAB/ SIMULINK.

An Islanding Detection Method Based on Q-Axis Disturbance Signal Injection

2013 ◽  
Vol 732-733 ◽  
pp. 646-652
Author(s):  
Jian Liu ◽  
Hou Hui Fang ◽  
Xian Feng Li
Keyword(s):  
Reactive Power ◽  
Detection Method ◽  
Harmonic Distortion ◽  
Photovoltaic System ◽  
Frequency Variation ◽  
The Novel ◽  
Islanding Detection ◽  
Power Network ◽  
Signal Injection ◽  
Simulation Results

This paper puts forward a novel islanding detection method based on q-axis disturbance signal injection. This method, by introducing q-axis disturbance signal injection, makes the RLC load generate frequency offset to detect the island in the case that the power network is disconnected due to certain fault.The introduced q-axis disturbance signal injection method is connected with reactive power variation and frequency variation whose values are close to zero when photovoltaic system is operated in grid-connected mode. Therefore, the suggested method has the advantage of tiny harmonic distortion and good power quality. The simulation results based on the MATLAB/Simulink software show that the novel islanding detection method can detect the island in 1 second and has little effects on the system under the condition of the set parameters.

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