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 of Different Approaches for Islanding Detection of Distributed Generation Systems

2019 ◽  
Vol 2 (3) ◽  
pp. 25 ◽  
Author(s):  
Ashish Shrestha ◽  
Roshan Kattel ◽  
Manish Dachhepatic ◽  
Bijen Mali ◽  
Rajiv Thapa ◽  
...  
Keyword(s):  
Decision Tree ◽  
Distributed Generation ◽  
Distribution System ◽  
Short Circuit ◽  
Distribution Networks ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Three Phase ◽  
Typical Distribution

The issue of unintentional islanding in grid interconnection still remains a challenge in grid-connected, Distributed Generation System (DGS). This study discusses the general overview of popular islanding detection methods. Because of the various Distributed Generation (DG) types, their sizes connected to the distribution networks, and, due to the concern associated with out-of-phase reclosing, anti-islanding continues to be an issue, where no clear solution exists. The passive islanding detection technique is the simplest method to detect the islanding condition which compares the existing parameters of the system having some threshold values. This study first presents an auto-ground approach, which is based on the application of three-phase, short-circuit to the islanded distribution system just to reclose and re-energize the system. After that, the data mining-decision tree algorithm is implemented on a typical distribution system with multiple DGs. The results from both of the techniques have been accomplished and verified by determining the Non-Detection Zone (NDZ), which satisfies the IEEE standards of 2 s execution time. From the analysis, it is concluded that the decision tree approach is effective and highly accurate to detect the islanding state in DGs. These simulations in detail compare the old and new methods, clearly highlighting the progress in the field of islanding detection.

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.

scholarly journals Islanding Detection in Distributed Generation Integrated Thimi – Sallaghari Distribution Feeder Using Wavelet Transform and Artificial Neural Network

2019 ◽  
Vol 15 (2) ◽  
pp. 55-61
Author(s):  
Basanta Pancha ◽  
Rajendra Shrestha ◽  
Ajay Kumar Jha
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wavelet Transform ◽  
Power Quality ◽  
Distributed Generation ◽  
Reactive Power ◽  
External Signal ◽  
Islanding Detection ◽  
Detection Zone ◽  
Artificial Neural

In response to the problem of increased load demand, efforts have been made to decentralize the power utility through the use of distributed generation (DG). Despite the advantages of DG integration, un-intentional islanding remains a big challenge and has to be addressed in the integration of DG to the power system. Islanding condition occurs when the DG continues to power a part of the grid system even after the connection to the rest of the system has been lost, either intentionally or un-intentionally. The unintentional islanding mode of operation is not desirable as it poses a threat to the line workers’ safety and power quality issues. There are many methods which may be used to detect the islanding situation. Passive methods such as under/over voltage and under/over frequency work well when there is an imbalance of power between the loads and the DG present in the power island. However, these methods has larger Non Detection Zone (NDZ) and fail to detect the islanding condition if there is a balance of power supplied and consumed in the island. Remote technique of islanding detection is reliable but is not economical in small network area. Active technique of islanding detection distorts the power quality of the system as it introduces external signal in the system. This paper uses the Wavelet Transform (WT) to extract the features of voltage signal at PCC (Point of Common Coupling) and these features have been used to train Artificial Neural Network (ANN). The ANN model trained by these WT features, which understands the pattern of input feature vector, have been used to classify the islanding and non-islanding events. In this proposed method, NDZ has been efficiently eliminated which is created due to difference between active and reactive power during islanding condition. No power quality problem exists in this method as there is no disturbance injection. Hence, this proposed method is better than conventional passive and active methods.

Islanding Detection in a Distribution System with Modified DG Interface Controller

2017 ◽  
Vol 6 (3) ◽  
pp. 133
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 Improved Islanding Detection Method for Photovoltaic Grid-Connected System

2013 ◽  
Vol 748 ◽  
pp. 453-456
Author(s):  
Chen Xin Li ◽  
Qi Ping Yuan
Keyword(s):  
Detection Method ◽  
Harmonic Distortion ◽  
Active Power ◽  
Photovoltaic System ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Frequency Detection ◽  
Essential Function ◽  
Maintenance Personnel

Islanding detection is a very essential function for a photovoltaic grid-connected system. Islanding phenomenons not only damage to equipment, but also endanger to the safety of the maintenance personnel. Passive islanding detection methods that use alone have considerable non-detection zone (NDZ); active islanding detection methods that use alone are that join disturbance to system, but the disturbance will cause system instability [1]. In this paper, an over/under voltage and over/under frequency detection method combines with an improved active power perturbation detection method are proposed. The photovoltaic system can be reduced non-detection zone (NDZ) with improved the power quality and reduced the total harmonic distortion (THD) through this method.

scholarly journals Islanding Detection Based on High Frequency Injection for Multi Inverter Microgrid

2015 ◽  
Vol 9 (1) ◽  
pp. 560-565
Author(s):  
Zhao Feng ◽  
Peng Jiaqi
Keyword(s):  
Simulation Analysis ◽  
Harmonic Wave ◽  
Harmonic Distortion ◽  
Experimental Result ◽  
Islanding Detection ◽  
Detection Zone ◽  
Detection Scheme ◽  
Third Harmonic ◽  
Grid Connection ◽  
Key Factor

Islanding detection is one of the indispensable protection detections for grid-connected inverters. The detection of islanding is the key factor that should be considered in the analysis of grid-connection security. The non-detection zone is the performance index of anti-islanding plan. According to the phase feature, quantitative analyses of the non-detection zone of several frequency disturbance schemes are conducted under several different coordinate systems by increasing disturbance, namely injecting third harmonic to the modulating wave that produces inverter drive signal and detects the voltage value and the total harmonic distortion of the power grid. The active current all-disturbance islanding detection scheme has been chosen as the initiative scheme of anti-islanding detection to complete the parameter design and simulation. According to the experimental result, this method is feasible to detect the island of microgrid. In this paper, the simulation model of islanding detection of microgrid is established through MATLAB/SIMULINK, and the simulation analysis of islanding phenomenon after the injection of third harmonic wave is conducted. The simulation result verifies the validity and availability of the islanding detection method.

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