Internet of Things-Based Robust Green Smart Grid

• Published in: Computers (Basel) Vol. 13; no. 7; p. 169
• Main Authors: Ahmed, Rania A., Abdelraouf, M., Elsaid, Shaimaa Ahmed, ElAffendi, Mohammed, El-Latif, Ahmed A. Abd, Shaalan, A. A., Ateya, Abdelhamied A.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2024
• Subjects: Alternative energy sources; Clean energy; Climate change; Communication; Design; distributed computing; Distributed processing; Edge computing; Efficiency; Electric power distribution; Electric power systems; Electricity; Electricity distribution; Energy consumption; Energy distribution; Energy management; Energy resources; Expenditures; Forecasting techniques; Fossil fuels; green smart grids; Infrastructure; Internet of Things; IoT; Modernization; Photovoltaic cells; Power management; Real time; Reliability; Renewable energy sources; Renewable resources; Smart grid; Smart grid technology; smart grids; Solar cells; Solar energy; Sustainability; Egypt
• ISSN: 2073-431X; 2073-431X
• DOI: 10.3390/computers13070169

Renewable energy sources play a critical role in all governments’ and organizations’ energy management and sustainability plans. The solar cell represents one such renewable energy resource, generating power in a population-free circumference. Integrating these renewable sources with the smart grids leads to the generation of green smart grids. Smart grids are critical for modernizing electricity distribution by using new communication technologies that improve power system efficiency, reliability, and sustainability. Smart grids assist in balancing supply and demand by allowing for real-time monitoring and administration, as well as accommodating renewable energy sources and reducing outages. However, their execution presents considerable problems. High upfront expenditures and the need for substantial and reliable infrastructure changes present challenges. Despite these challenges, shifting to green smart grids is critical for a resilient and adaptable energy future that can fulfill changing consumer demands and environmental aims. To this end, this work considers developing a reliable Internet of Things (IoT)-based green smart grid. The proposed green grid integrates traditional grids with solar energy and provides a control unit between the generation and consumption parts of the grid. The work deploys intelligent IoT units to control energy demands and manage energy consumption effectively. The proposed framework deploys the paradigm of distributed edge computing in four levels to provide efficient data offloading and power management. The developed green grid outperformed traditional grids in terms of its reliability and energy efficiency. The proposed green grid reduces energy consumption over the distribution area by an average of 24.3% compared to traditional grids.