Balanced Islanding Detection of Distributed Generator using Discrete Wavelet Transform and Artificial Neural Network

Balanced Islanding Detection of Distributed Generator using Discrete Wavelet Transform and Artificial Neural Network

© 2021 by IJETT Journal
Volume-69 Issue-10
Year of Publication : 2021
Authors : M Krishna Goriparthy, B Geetha Lakshmi
DOI :  10.14445/22315381/IJETT-V69I10P209

How to Cite?

M Krishna Goriparthy, B Geetha Lakshmi, "Balanced Islanding Detection of Distributed Generator using Discrete Wavelet Transform and Artificial Neural Network," International Journal of Engineering Trends and Technology, vol. 69, no. 10, pp. 57-71, 2021. Crossref,

Renewable Energy sources (RES) with PV array systems are most widely used nowadays. There will be some malfunctions that occur whenever RES is connected to the grid due to sudden tripping of Gridconnected circuit breakers, which causes islanding. As per IEEE standards, this islanding condition is to be detected within less than 2 sec. Islanding causes disturbances in voltage and power quality. This paper presents Artificial Neural Network and discrete wavelet transform-based positive sequence phase angle islanding method (RCPABPSVAC). This method predicts islanding detection time for various case studies in an accurate manner. In this work, Discrete wavelet transform analysis is done up to level4, and by using an Artificial Neural network algorithm, the islanding detection time is predicted online. Simulation of Positive sequence phase angle islanding method is done on Matlab 2018b platform. Discrete wavelet transform and ANN is carried using python 3.9.5.

Artificial Neural Network, Discrete wavelet transforms, Islanding Detection, PV array, Rate of change of the phase angle between Positive sequence voltage and current (RCPABPSVAC).

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