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Maximizing Efficiency in Energy Trading Operations through IoT-Integrated Digital Twins
Faiza Qayyum1, Reem Alkanhel2, Ammar Muthanna3
1Department of Computer Engineering, Jeju National University, Jeju-si 63243, Republic of Korea.
Sensors (Basel, Switzerland)
|December 23, 2023
Summary
This study introduces a digital twin framework for optimizing energy storage systems (ESSs) in peer-to-peer (P2P) nano-grid trading. The approach enhances energy utilization and reduces costs through intelligent power management and IoT task orchestration.
Area of Science:
- Energy Systems Engineering
- Computer Science
- Artificial Intelligence
Background:
- The energy industry is exploring Internet of Things (IoT) applications beyond traditional sectors.
- Distributed energy systems require advanced frameworks like digital twins for improved performance.
- Energy storage systems (ESSs) are vital for nano-grids to enhance sustainability and resilience.
Purpose of the Study:
- To propose a novel conceptual framework for IoT-enabled nano-grid energy trading.
- To optimize power management of ESSs within a peer-to-peer (P2P) trading environment.
- To enhance P2P energy trading efficiency through digital twin-based IoT task orchestration.
Main Methods:
- Particle Swarm Optimization (PSO) for ESS power optimization.
- Digital twin technology for IoT task orchestration (generation, virtualization, mapping, scheduling, allocation, deployment).
- IoT sensors and Raspberry Pi edge technology for virtual nano-grid operation.
Main Results:
- The proposed framework effectively manages surplus ESS energy and meets nano-grid demands.
- PSO techniques demonstrated efficacy in reducing energy trading costs.
- Digital twin-based orchestration improved power utilization and overall system efficiency in simulated nano-grids.
Conclusions:
- The integration of digital twins and IoT is crucial for efficient nano-grid energy trading.
- Optimized ESS power management significantly reduces operational costs.
- The framework offers a scalable solution for enhancing distributed energy system performance.
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