Intelligent Smart Grid Management through IoT with Low-Energy Routing and High-Level Security
The conventional energy leads to climatic change with the consent of emitting dangerous greenhouse gases. The Smart Grid (SG) is employed to efficiently generate power with the sustainable energy sources. Integration of Renewable Energy Sources (RES) include wind energy and Photovoltaic (PV) into the electrical grid is increasingly critical for achieving sustainable energy goals. A SG is a modernized electrical grid that employs advanced technologies to enhance efficiency, reliability, and security of energy distribution and consumption. This paper presents a novel approach to Smart Grid optimization by incorporating PV and wind energy systems, alongside energy storage solutions like batteries. A comprehensive IoT-based control system, provides real-time monitoring and manages the energy flow, by ensures optimal integration of renewable resources. Whale Optimization Algorithm (WOA) is applied to the grid for efficiently routing energy across the grid, while eliminating losses and enhances the system performance. The Fuzzy logic algorithm improves the security by significantly adjusting to the network threats and vulnerabilities. This proposed approach optimizes the energy usage, enhances the grid resilience and guarantee security operations leading the path for an efficient, sustainable energy environment.
Authors
- R. Senthil Kumar (ORCID: https://orcid.org/0000-0001-5521-0919)
- G. Ezhilarasi
- Nedumaran Arappali (ORCID: https://orcid.org/0000-0002-7119-0417)
- R. Alaguraj
- M. Tamilarasi
- Jarin Joe Rini J
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- SRM Institute of Science and Technology (IN)
- Shri Venkateshwara University (IN)
- Chettinad Health City (IN)
- AMET University (IN)
- Dhanalakshmi Srinivasan Group of Institutions (IN)
- National Institute of Technology Meghalaya (IN)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/ginotech63460.2025.11076731
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00