An Efficient Protection Scheme For Microgrid Based On Wavelet Transform And Data-Mining technique
Author(s):
UMA DEHARIYA, Dr. K.T.Chaturvedi, Vandana Sondhiya
Keywords:
Fault detection, microgrid protection, Feature extraction, Discrete wavelet transform, Data mining.
Abstract
With the rising trend of the use of the potential of distributed energy resources, for the management of the ever-growing demand for electrical energy, the microgrid have come to the fore. Microgrid offers significant advantages in distribution systems but the integration of the synchronus DER and the renewable energy sources made the issue of protection. The failure related with the renewable energy sources is only 2-3 times higher than the rated voltage, as compared with a synchronous DER. For this reason, the associated security issues becoming even more complex. The value of the fault current depends on the mode of operation and the microgrid works on islanded and grid connected mode. Therefore, it is necessary to use an accurate and reliable technique that can operate in two modes with reliability and efficiently. In this context, an algorithm that is based on the structure of discrete wavelet transform (DWT) and bagged decision tree method is used in this. A direct current voltage signals are pre-processed with the DWT, and the standard deviation is calculated on the basis of the current participants in the course will be used to train the model based on data mining. The DWT-based feature extraction method we can use for all the useful features of the voltage and current signals in less estimated time.
Article Details
Unique Paper ID: 152654

Publication Volume & Issue: Volume 8, Issue 3

Page(s): 1065 - 1070
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews