2024, Vol. 5, Issue 2, Part A
Optimization and resilience enhancement in multi-microgrid systems with renewable energy and electric vehicle integration
Author(s): Zahraa H Dawood, Safa Noori ldi and Ahmed Abdulameer Naser
Abstract: This study embarks on a twin-faceted quest within the realm of clever grids: to beautify the operational efficacy and resilience of multi-microgrid structures connected to the IEEE 33 bus distribution community, and to reinforce their cybersecurity with the aid of embedding a novel encryption algorithm primarily based on chaotic maps and photograph processing strategies. The optimization framework is enriched via a cryptographic layer that employs fourth-order Runge-Kutta answers to chaotic equations, translating them into binary sequences which interlace with binary representations of selected pictures for stable verbal exchange within the grid. This research transcends traditional microgrid management with the aid of emphasizing the position of stochasticity in each renewable power sources and electric automobiles, and in encrypting data exchanges. By inspecting the synthesis of these components and their collective impact at the broader grid infrastructure, the take a look at introduces a holistic technique that maximizes disbursed electricity resource advantages and ensures facts integrity against cyber threats. The outcome is a resilient and economically optimized multi-microgrid network with an introduced dimension of more suitable safety, contributing treasured insights to the domain names of electrical strength systems and information safety.
Pages: 01-07 | Views: 57 | Downloads: 20
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How to cite this article:
Zahraa H Dawood, Safa Noori ldi, Ahmed Abdulameer Naser. Optimization and resilience enhancement in multi-microgrid systems with renewable energy and electric vehicle integration. Int J Electr Data Commun 2024;5(2):01-07.