A power quality detection and classification algorithm based on FDST and hyper-parameter tuned light-GBM using memetic firefly algorithm

Author:

Panigrahi Rasmi Ranjan,Mishra Manohar,Nayak Janmenjoy,Shanmuganathan Vimal,Naik Bighnaraj,Jung Young-Ae

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference45 articles.

1. Power theories for improved power quality;Benysek,2012

2. Naik, C.A. and Kundu, P., 2014, December. Analysis of power quality disturbances using wavelet packet transform. In2014 IEEE 6th India international conference on power electronics (IICPE)(pp. 1-4). IEEE.

3. Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review;Mishra;Int. Trans. Electric. Energy Syst.,2019

4. A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid;Beniwal;IEEE Access,2021

5. Applications of the windowed FFT to electric power quality assessment;Heydt;IEEE Trans. Power Delivery,1999

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