A 5G Wireless Event-Driven Sensor Chip for Online Power-Line Disturbances Detecting Network in 0.25 μm GaAs Process

This article presents an event-driven sensor chip for 5G wireless online power line disturbance monitoring network. The proposed event-driven sensor can directly sense the power line disturbance and send out alarm signals without complex, analog, and digital signal processing. Thus, the response time to the voltage or current disturbance can be greatly reduced. This article presents passive and active modeling, circuit design, simulation and measurement results. The results show that the sensor can provide different frequency outputs that are related to power line voltage disturbance levels. The output frequency of the sensor is 26.4–27.5 GHz that is suitable for the 5G wireless sensor network. The proposed chip is fully integrated in GaAs process, achieving maximum 13 dBm output power with power added efficiency of 25%. With the proposed chip, a power line voltage disturbances system is demonstrated and the proposed chip can realize signal communication with 3 km distance.

[1]  Nagender Kumar Suryadevara,et al.  Smart Plugs: Paradigms and Applications in the Smart City-and-Smart Grid , 2019, Energies.

[2]  Nianxiong Tan,et al.  An Energy Metering Chip With a Flexible Computing Engine , 2019, IEEE Access.

[3]  Nianxiong Tan,et al.  An Energy Metering and Measurement SoC With a Novel Low-Power DSP Architecture , 2019, IEEE Internet of Things Journal.

[4]  A. Tabesh,et al.  Design Optimization of an Energy Harvesting Platform for Self-Powered Wireless Devices in Monitoring of AC Power Lines , 2018, IEEE Transactions on Power Electronics.

[5]  Rosario Morello,et al.  A Smart Power Meter to Monitor Energy Flow in Smart Grids: The Role of Advanced Sensing and IoT in the Electric Grid of the Future , 2017, IEEE Sensors Journal.

[6]  Fredrik Wallin,et al.  A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks , 2016, IEEE Internet of Things Journal.

[7]  Keith Lindsey,et al.  Real-Time Overhead Transmission-Line Monitoring for Dynamic Rating , 2016, IEEE Transactions on Power Delivery.

[8]  Tahoura Hosseinimehr,et al.  Magnetic Field Energy Harvesting from AC Lines for Powering Wireless Sensor Nodes in Smart Grids , 2016, IEEE Transactions on Industrial Electronics.

[9]  Filippo Attivissimo,et al.  Channel Characterization of an Open Source Energy Meter , 2014, IEEE Transactions on Instrumentation and Measurement.

[10]  Luca Benini,et al.  Modeling and Optimization of a Solar Energy Harvester System for Self-Powered Wireless Sensor Networks , 2008, IEEE Transactions on Industrial Electronics.

[11]  A. Burger,et al.  Real-Time Sag Monitoring System for High-Voltage Overhead Transmission Lines Based on Power-Line Carrier Signal Behavior , 2008, IEEE Transactions on Power Delivery.

[12]  I.C.H. Lai,et al.  A New On-Chip Substrate-Coupled Inductor Model Implemented With Scalable Expressions , 2006, IEEE Journal of Solid-State Circuits.

[13]  A. Caddemi,et al.  Accurate Multibias Equivalent-Circuit Extraction for GaN HEMTs , 2006, IEEE Transactions on Microwave Theory and Techniques.

[14]  G. Kompa,et al.  A new small-signal modeling approach applied to GaN devices , 2005, IEEE Transactions on Microwave Theory and Techniques.

[15]  E. Vandamme,et al.  Improved three-step de-embedding method to accurately account for the influence of pad parasitics in silicon on-wafer RF test-structures , 2001 .

[16]  Ali M. Niknejad,et al.  Analysis, design, and optimization of spiral inductors and transformers for Si RF ICs , 1998, IEEE J. Solid State Circuits.

[17]  H. W. Furst,et al.  An analog method for detecting superimposed power line voltage disturbances , 1994 .

[18]  H. Zirath,et al.  A new empirical nonlinear model for HEMT and MESFET devices , 1992 .

[19]  G. Dambrine,et al.  A new method for determining the FET small-signal equivalent circuit , 1988 .

[20]  Y. Xuan,et al.  A Generalized Approach to the Design of Microwave Oscillators , 1987 .

[21]  Michael F. Matouka A Wide-Range Digital Power/Energy Meter for Systems with Nonsinusoidal Waveforms , 1982, IEEE Transactions on Industrial Electronics.