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Ass. Lect. Mohamed Ibrahim Zaki Amer :: Publications:

Title:
Efficient Smart Grid Fault-Identification Approach with Photovoltaic-Distributed Generators Based on Monitoring of Current/Voltage Signals
Authors: Mohamed I. Zaki, Tamer F. Megahed, and Sobhy M. Abdelkader,
Year: 2022
Keywords: microgrid protection, fault-identification, smart gird, renewable energy resources, photovoltaic system
Journal: Renewable Energies and Power Quality
Volume: Not Available
Issue: Not Available
Pages: 6
Publisher: Elsevier
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

Smart grid fault-identification is a critical aspect of the protection relay system with the integration of renewable energy based on photovoltaic-distributed generators. With increasing distributed generators usage in smart grids, conventional relaying techniques suffer from maloperation owing to the risk of changing fault current levels. Therefore, in this paper, a discrete wavelet transform (DWT) and a statistical cross-alignment coefficient-based method is proposed to detect and classify different types of faults, considering the dynamic response of photovoltaic. The proposed protection scheme does not require any extra-measuring systems, as it relied on the one-ended measurements that are installed at PV-feeder over a moving window, which are available due to the use of advanced measuring facilities in smart grids. This opens the doors to transferring real-time data from / to protective relays, and then these datasets are processed for discriminating among various internal fault classes and external and healthy conditions. Intensive simulation studies are executed using the PSCAD/EMTDC platform, along with the validation of the proposed scheme. The 300 kW PV panel is connected to grid though a boost converter and Voltage Source inverter. Results reveal that the application of alienation concept and the differential faulty energy method for approximation coefficient-based DWT for voltage and current signals shows better performance in terms of accuracy and computational burden.

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