Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement.

Area of Science:

• Electrical Engineering
• Computer Science
• Telecommunications

Background:

• Increasing energy demand strains electric power infrastructure, leading to frequent blackouts.
• Existing grid limitations necessitate advanced solutions for reliable energy supply.
• The Internet of Things (IoT) offers potential for remote grid management and failure prediction.

Purpose of the Study:

• To design a fully reconfigurable wireless sensor node for smart grid environments.
• To develop a scalable hardware platform for seamless integration into the smart grid.
• To enable remote failure prediction in low/medium voltage switchgears.

Main Methods:

• Utilized a modular hardware platform for the wireless sensor node.
• Integrated the LoRaWAN communication protocol for data collection.
• Conducted a 6-month feasibility and scalability test of the designed architecture.

Main Results:

• Demonstrated the feasibility of the wireless sensor node for smart grid monitoring.
• Confirmed the scalability of the proposed system architecture.
• Validated the system's capability for remote failure prediction in switchgears.

Conclusions:

• The developed wireless sensor node is a viable solution for enhancing smart grid reliability.
• The system provides a scalable approach to remote monitoring and failure prediction.
• This technology opens new avenues for proactive maintenance of electrical infrastructure.