Version 1
: Received: 14 October 2024 / Approved: 15 October 2024 / Online: 15 October 2024 (20:31:31 CEST)
How to cite:
Cavus, M. Integration Smart Grids, Distributed Generation, and Cybersecurity: Strategies for Securing and Optimizing Future Energy Systems. Preprints2024, 2024101225. https://doi.org/10.20944/preprints202410.1225.v1
Cavus, M. Integration Smart Grids, Distributed Generation, and Cybersecurity: Strategies for Securing and Optimizing Future Energy Systems. Preprints 2024, 2024101225. https://doi.org/10.20944/preprints202410.1225.v1
Cavus, M. Integration Smart Grids, Distributed Generation, and Cybersecurity: Strategies for Securing and Optimizing Future Energy Systems. Preprints2024, 2024101225. https://doi.org/10.20944/preprints202410.1225.v1
APA Style
Cavus, M. (2024). Integration Smart Grids, Distributed Generation, and Cybersecurity: Strategies for Securing and Optimizing Future Energy Systems. Preprints. https://doi.org/10.20944/preprints202410.1225.v1
Chicago/Turabian Style
Cavus, M. 2024 "Integration Smart Grids, Distributed Generation, and Cybersecurity: Strategies for Securing and Optimizing Future Energy Systems" Preprints. https://doi.org/10.20944/preprints202410.1225.v1
Abstract
This paper presents a comprehensive review of the integration and optimization of smart grid (SG) technologies, distributed generation (DG), electric vehicles (EVs), and cybersecurity in the context of modern energy systems. As global energy systems transition towards decentralization and increase reliance on renewable energy, the interplay between these technologies offers significant opportunities to enhance grid flexibility, resilience, and sustainability. The integration of DG systems, supported by advanced battery and fuel cell (FC) technologies, plays a pivotal role in stabilizing the grid and facilitating the adoption of renewable energy. Through vehicle-to-grid (V2G) technologies, EVs provide dynamic solutions for energy storage and demand response (DR), contributing to efficient energy management and peak shaving. A critical focus of this paper is the growing importance of cybersecurity, as the digitization of energy infrastructures creates new vulnerabilities to cyber-attacks. Novel strategies, including artificial intelligence (AI)-driven automation, blockchain-based security for energy transactions, and quantum-resistant encryption, are explored to safeguard the future of energy systems. Drawing from global case studies, this review also addresses key challenges such as grid congestion, regulatory barriers, and interoperability, providing a roadmap for optimizing and securing the next generation of energy infrastructures.
Keywords
Artificial intelligence; Blockchain; Cybersecurity; Distributed generation; Electric vehicles; Energy system optimization; Smart grid; Vehicle-to-grid
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
