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Project 3.3 Distribution Automation: Sensors and Condition Monitoring Prof Julian Meng,Prof Eduardo Castillo Guerra, U. New Brunswick PowerPoint PPT Presentation


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Project 3.3 Distribution Automation: Sensors and Condition Monitoring Prof Julian Meng,Prof Eduardo Castillo Guerra, U. New Brunswick. Introduction: Project 3.3. Development of smart wireless sensor networks for sub-station monitoring.

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Project 3.3 Distribution Automation: Sensors and Condition Monitoring Prof Julian Meng,Prof Eduardo Castillo Guerra, U. New Brunswick

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Project 3 3 distribution automation sensors and condition monitoring prof julian meng prof eduardo castillo guerra u new brunswick

Project 3.3Distribution Automation: Sensors and Condition MonitoringProf Julian Meng,Prof Eduardo Castillo Guerra, U. New Brunswick


Introduction project 3 3

Introduction: Project 3.3

  • Development of smart wireless sensor networks for sub-station monitoring.

  • Test the sensor prototype modules under realistic operating conditions.

  • Deployment of low-cost re-configurable wireless sensors for monitoring overall microgrid health.


Wireless sensor platform

Wireless Sensor Platform

  • IEEE 802.15.4 ZigBee based sensors (ISM frequency 2.4 GHz) are initially being considered.

  • Impulsive noise from partial discharge and sferic radiation (e.g. high current transients) makes a sub-station particularly challenging.

  • Previous research has shown that ZigBee sensors “can” work in this environment.


Wireless sensor platform1

Wireless Sensor Platform

  • Other protocols: DigiMesh, WirelessHART, 6LoWPAN, etc.

    “open vs proprietary”, “flexibility”, “security”, “energy consumption”

  • System Access: IEEE P1451 (re: Project 3.1, Dr. Michelson)

  • Generic re-configurable sensors to monitor:

    • Channel interference hot spots

    • Environmental conditions

    • Vibration, Shock

    • Faults

    • Circuit breaker status


Wireless sensor platform examples

Wireless Sensor Platform Examples

Embed’s sensor prototype development platform and Libelium’sWaspmote


Way forward

Way Forward

  • Test/measurement system for evaluating sensor network performance.

  • ZigBee simulation analysis -> noise limiting situation.

  • RF radiation measurements in a sub-station environment: NB Power and Saint John Energy.

  • Sensor packaging for outdoor environments –> simplicity in deployment (what is commercially available ???)


Way forward1

Way Forward

  • Smart sensor configuration:

    = microcontroller + sensor module + transducers

  • Connections with other projects: Project 1.3 (Dr. Xu), Project 3.1 (Dr. Michelson), Project 3.4 (Dr. Farhangi)

Thank you

UNB Team: Dr. Julian Meng, Dr. Eduardo Castillo Guerra, Tristan Losier, AB Kar, Yandy Perez Ramos


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