Publication Date: 2024/02/10
Abstract: As active distribution systems are widely used and complex, securing them with renewable energy can be challenging. To tackle this difficulty, a two-stage methodology is proposed in this research. Deep learning is utilized to identify even the most minor cyber-attacks in electrical waveforms, and a hierarchical localization technique is then applied to determine the attack's source. This technique uses waveform analysis in conjunction with network partitioning to precisely identify attacks. The suggested methodology provides a viable means of improving cyber security in these developing power systems, outperforming current approaches in simulations. Its capacity to recognize different kinds of attacks, manage big networks, and interact with current security protocols for practical application might all be investigated further.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.10643084
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24FEB195.pdf
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