scholarly journals Design Consideration and Performance Analysis of a Hybrid Islanding Detection Method Combining Voltage Unbalance/Total Harmonic Distortion and Bilateral Reactive Power Variation

2020 ◽  
Vol 5 (1) ◽  
pp. 86-100 ◽  
Author(s):  
Gongke Wang ◽  
2013 ◽  
Vol 732-733 ◽  
pp. 646-652
Author(s):  
Jian Liu ◽  
Hou Hui Fang ◽  
Xian Feng Li

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.


Author(s):  
Zhengyuan Guan ◽  
Yuan Liao

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.


2019 ◽  
Vol 2019 (17) ◽  
pp. 3890-3894 ◽  
Author(s):  
Xiaolong Chen ◽  
Xinyi Wang ◽  
Jie Jian ◽  
Zhiyao Tan ◽  
Yongli Li ◽  
...  

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