A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy...

Area of Science:

• Electrical Engineering
• Computer Science
• Energy Systems

Background:

• Growing integration of Renewable Energy Resources (RERs) into distribution networks necessitates advanced control strategies.
• Networked Renewable Energy Resources (NRERs) offer significant resilience and flexibility benefits.
• Cooperative Peer-to-Peer (P2P) control architectures are key to harnessing NRER capabilities.

Purpose of the Study:

• To propose a multi-agent system for P2P control of NRERs leveraging the Internet of Things (IoT).
• To implement a distributed control system with primary and secondary control layers for localized and arbitrary power sharing.
• To validate the effectiveness of the proposed system through numerical simulations.

Main Methods:

• Development of a multi-agent system with two control layers (droop control for primary, distributed diffusion for secondary).
• Implementation of a two-level communication system using IP/TCP for local and MQTT for global data exchange.
• Validation via numerical simulation on a modified IEEE 9 node test feeder.

Main Results:

• Achieved system-wide savings of 20.65%.
• Demonstrated significant savings for individual components: 25.99% for photovoltaic, 35.52% for diesel generators, and 24.59% for batteries.
• Reduced power loss by an impressive 52.34%.

Conclusions:

• The proposed multi-agent P2P control system effectively manages NRERs via IoT.
• The distributed control architecture enhances energy sharing and optimizes system performance.
• The system offers substantial economic and efficiency benefits for distribution networks with RER integration.