Balanced islanding detection of integrated DG with phase angle between voltage and current

Goriparthy, M. Krishna; Lakshmi, B. Geetha

doi:10.11591/ijeecs.v23.i1.pp32-40

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The test system details are in Table . 1 [11].It generally consists of grid which is connected to DG with a parallel RLC load using a synchronous phase-locked loop (PLL) as shown in Fig. 1.…”

Section: Test System and Methodologymentioning

confidence: 99%

Frequency Disturbance Triggered Hybrid Islanding Detection Scheme using Discrete Wavelet Transform and Artificial Neural Networks

Goriparthy¹,

GeethaLakshmi²

2022

Artificial Intelligence and Communication Technologies

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In today's world, Sources of renewable energy (RES) using PV arrays are the most extensively used. When RES is connected to the grid, there will be some issues owing to the unexpected circuit breakers connected to the grid trip, which creates islanding. This islanding condition should be detected within two seconds, as per IEEE standards. This paper presents frequency disturbance triggered hybrid islanding detection using Artificial Neural network (ANN) and Discrete Wavelet Transformation (DWT). The ANN model is trained by these WT features and this approach calculates the detection time for various loading and non islanding conditions. DWT analysis is performed up to level 4 in this work which is fed to an ANN model to predict islanding detection time. Simulation of frequency triggered hybrid islanding detection approach is implemented on the Matlab 2018b platform. Python 3.9.5 is used for the discrete wavelet transform and ANN

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Section: Test System and Methodologymentioning

confidence: 99%