smart grid research at ttu - ttu cae network
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Smart Grid Research At TTU
Robert C. Qiu and David Gao
Department of Electrical and Computer EngineeringTennessee Technological University
Feb. 4, 2010Presented at Argonne National Laboratory
Smart Grid Research Groups
■ Wireless Networking Systems Laboratory□ 10 PhD/post-doctors by the end of the summer of 2010□ One full-time R&D scientist□ $2.5 million external funding from DoD, NSF and Industry□ Part of Center of Manufacturing Research (a center of excellence)
■ Electric Transportation And Power Systems (ETAPS) ■ Electric Transportation And Power Systems (ETAPS) Laboratory□ 8 PhD/post-doctors□ $2 million external funding from DoE, NSF and industry□ NSF Career Award□ Part of Center for Energy Systems Research (a center of
excellence)
■ Other supporting faculty members from TTU and outside
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Generating Plant
Transmission Line
Substation
� Broadband over Powerlines — Provide for two-way
communications� Monitors and smart relays at
substations
Key Technologies
End UserDistribution System
substations� Monitors at transformers,
circuit breakers and reclosers
� Bi-directional meters with two-way communication
[1]
Key Technologies
■ Integrated communications□ Fast and reliable communications for the grid□ Allowing the grid for real-time control, information and data
exchange to optimize system reliability, asset utilization and security
□ Can be wireless, powerline or fiber-optics□ Can be wireless, powerline or fiber-optics□ For wireless
▪ Zigbee▪ WiMAX▪ WiFi
Challenges
■ TF1: Power Engineering Technology□ Energy sources□ Transmission □ Substation□ Distribution□ Distribution□ Consumer premise□ Cyber security□ Safety
Challenges
■ TF2: Information Technology□ Cyber security□ Management protocols□ Coordination with TF1
▪ Provide data storage requirements▪ Data retrieval performance requirements▪ Define data interfaces
□ Coordination with TF3▪ Communication link▪ Topology control▪ Protocol
Challenges
■ TF3: Communications Technology□ Define communication requirements between devices□ Identify existing communication standards and definitions for use
in Smart Grid
Wind Energy
Solar Energy
(Donated by TVA)
A Real-Time Smart Grid Testbed in Tennessee Technological University
Dorms
Apartments
Water Energy
Offices
Long RangeLong Range
Wireless Network:
Cognitive Radio, WiMAX
Short Range
Wireless Network:
ZigBee, WiFi, UWB, etc.
Electric Grid
(Donated by TVA)
Overlaid by 2-way highly secured wireless network
Including 40 Cognitive Radio nodes
(Sponsored by DoD and DoE 2010 Earmark
Projects)
Cookeville Utilities
Smart Automation& Control
Smart Power Grid
Smart Grid Research at TTU
■ Renewable and clean energy integration into smart grid□ Wind Power, funded by NSF CAREER□ Solar PV Power, funded by TVA□ Fuel Cell Distributed Power Generation
■ Wide area grid monitoring, protection, and
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■ Wide area grid monitoring, protection, and control□ FNET-based, Frequency monitoring network, sponsored
by Oak Ridge National Laboratory□ PMU-based, Phasor Measurement Unit□ Intelligent load shedding based on wide-area
measurement to prevent cascading blackout
Smart Grid Research at TTU
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Smart Grid Research at TTU
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Cognitive Radio Networks
Internet or othernetworks
SU3SU4
SU1
Statistical learningof network behavior
Robust control for
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Internet or othernetworks
Primary user(PU)
Secondary user(SU)
SU5
SU2
PU1
Robust control forcomplex cognitive
network
Experimentaltestbeds
Lyrtech SFF SDR Development Platform (1)
■ RF frequency range□ TX: 200 MHz to 930 MHz□ RX: 30 MHz to 928 MHz
■ Full-duplex transceiver■ Selectable bandwidth: 5 MHz/20 MHz■ RF input
□ Gain: 22 dB (RX selectable filter: 20 MHz)□ Gain: 22 dB (RX selectable filter: 20 MHz)□ Phase noise at 100 kHz from carrier: –101 dBc (RF: 425 MHz)□ Phase noise at 10 kHz from carrier: –73 dBc (RF: 425 MHz)□ Sensitivity: –105 dBm (BW: 300 kHz, SNR: 0 dB)
■ RF output□ Carrier suppression: –35 dBc□ Sideband suppression: –37 dBc□ Phase noise at 100 kHz from carrier: –109 dBc (RF: 425 MHz)□ Phase noise at 10 kHz from carrier: –83 dBc (RF: 425 MHz)
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Lyrtech SFF SDR Development Platform (2)
■ Digital Processing Module□ Texas Instruments TMS320DM6446 DSP□ Xilinx Virtex-4 SX35 FPGA□ 128-MB DDR2 SDRAM and NAND flash memory□ Texas Instruments Stereo Audio codec (8 kHz to 48 kHz)□ 10/100-Mbps Ethernet□ 10/100-Mbps Ethernet□ High-speed USB (USB 2.0)
■ Data Conversion Module□ Two 14-bit, 125-MSPS
input channels (TI ADS5500)□ Dual-channel 16-bit,
500-MSPS output channels (TI DAC5687)
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Cognitive Radio Testbeds in Tennessee Tech Wireless Lab
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Building Cognitive Radio Networks Using Lyrtech Platforms
■ All of the nodes and super nodes are connected using Ethernet cable through an Ethernet switch to computers.
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Available Equipments and Testbeds for Cognitive Radio
■ Advanced equipments□ DPO - Tektronix DPO72004: 20 GHz bandwidth, 50 GS/s
sampling rate□ AWG - Tektronix AWG7122B: 12 GS/s per channel, dual
channel□ Funded by NSF MRI
■ Narrowband Cognitive Radio Testbed □ Texas Instruments (TI) Software Defined Radio (SDR)
Development Platform (x2)▪ TMS320DM6446 DSP
▫ 594 MHz TMS320C64x+™ DSP core▫ 297 MHz ARM926 core
▪ Xilinx Virtex-4 SX35 FPGA▪ RF: 360 MHz – 960 MHz, Bandwidth: 5 MHz or 20 MHz
□ Used for testing concepts and algorithms
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■ Time Reversal UWB Radio Test-bed
Test-bed Digital Implementation
�Tx:�Xilinx Virtex-5 FPGA�Waveform Generator:
•8 bits quantization.•1 Gsps sampling rate.
�High speed connection.�High speed connection.
�Rx:�Xilinx Virtex-5 FPGA.�Thresholds variable. (Sensitivity)�High speed connection.
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System TestRoom 400 layoutRoom 400
Robert Qiu 19
System test videoSystem test video
Thank you!
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Dr. David Wenzhong Gao email: [email protected]
Dr. Robert C. Qiuemail: [email protected]