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Cyber-Physical Smart Light Control System Integration with Smart Grid using Zigbee

Conference · · 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)

This paper presents a hardware-in-the-loop cyber-physical system architecture design to monitor and control smart lights connected to the active distribution grid. The architecture uses Zigbee-based (IEEE 802.15.4) wireless sensor networks and publish-subscribe architecture to exchange monitoring and control signals between smart-light actuators (SLAs) and a smart-light central controller (SLCC). Each SLA integrated into a smart light consists of a Zigbee-based endpoint module to send and receive signals to and from the SLCC. The SLCC consists of a Zigbee-based coordinator module, which further exchanges the monitoring and control signals with the active distribution management system over the TCP/IP communication network. The monitoring signals from the SLAs include light status, brightness level, voltage, current, and power data, whereas, the control signals to the SLAs include light intensity, turn ON, turn OFF, standby, and default settings. We have used our existing hardware-in-the-loop (HIL) cyber-physical system (CPS) security SCADA testbed to process signals received from the SLCC and respond suitable control signals based on the smart light schedule requirements, system operation, and active distribution grid dynamic characteristics. We have integrated the proposed cyber-physical smart light control system (CPSLCS) testbed to our existing HIL CPS SCADA testbed. We use the integrated testbed to demonstrate the efficacy of the proposed algorithm by real-time performance and latency between the SLCC and SLAs. The experiments demonstrated significant results by 100% realtime performance and low latency while exchanging data between the SLCC and SLAs.

Research Organization:
Iowa State University
Sponsoring Organization:
USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER)
Contributing Organization:
Iowa State University
DOE Contract Number:
OE0000830
OSTI ID:
1985676
Report Number(s):
DOE-0000830-17
Journal Information:
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Journal Name: 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Country of Publication:
United States
Language:
English

References (11)

RSSI-Based Indoor Localization and Identification for ZigBee Wireless Sensor Networks in Smart Homes journal February 2019
ZigBee performance evaluation for smart grid dual physical media communications in Riga city conference November 2016
New Approach for Intelligent Street Lights Using Computer Vision and Wireless Sensor Networks conference April 2019
Conceptual Framework of Smart Device for Smart Home Management Based on RFID and IoT conference February 2019
Smart water distribution network solution for smart cities: Indian scenario conference June 2018
Design of Intelligent Home Control System Based on Machine Learning conference January 2019
Intelligent Energy Efficient Street Light Controlling System based on IoT for Smart City conference December 2018
Monitoring System for Intelligent Transportation System Based in ZigBee conference March 2019
Efficient Modeling of HIL Multi-Grid System for Scalability & Concurrency in CPS Security Testbed conference October 2019
Wireless Sensor networks with Zigbee and WiFi for Environment Monitoring, Traffic Management and Vehicle Monitoring in Smart Cities conference October 2018
Security Improvements for IoT Data Acquisition Process conference May 2019

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