wireless internet technologies for smart grid

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1 Rajit Gadh Director, UCLA WINMEC Director, UCLA WINSmartgrid Program Director, UCLA Wireless Media Lab [email protected] http://winmec.ucla.edu/smartgrid UCLA WINSmartGrid Connection -Wireless Internet Technologies for Smart Grid 10/2/2009 2 Opportunity While the current electric grid in the United States has an impressive 99.97% reliability, it is somewhat limited in its ability to handle renewable energy sources (solar, wind, geo-thermal, biomass), to effectively manage demand response, to self-repair, or to sense/monitor its own problems. Current high-voltage transmission grid imposes constraints on deployment of renewables - wind, solar, and geothermal power due to absence of its reach in places where these sources exist (E.g. Nation has enough wind for 20% of national requirement, but is not accessible). Congestion hurts reliability of grid, esp. where new power sources originate Monitoring and control technology on transmission and distribution is weak Transmission congestion costs consumers in eastern U.S.$16.5 billion per year in higher electric bills. Smart Grid should reduce cost of power outages - 2003 blackout in N.E. caused an estimated $7 - $10 billion in losses Other requirements Security Redundancy Reliability

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Rajit GadhDirector, UCLA WINMECDirector, UCLA WINSmartgrid ProgramDirector, UCLA Wireless Media [email protected]://winmec.ucla.edu/smartgrid

UCLA WINSmartGrid Connection-Wireless Internet Technologies for Smart Grid

10/2/2009 2

Opportunity� While the current electric grid in the United States has an impressive 99.97% reliability, it is

somewhat limited in its ability to handle renewable energy sources (solar, wind, geo-thermal, biomass), to effectively manage demand response, to self-repair, or to sense/monitor its own problems.

� Current high-voltage transmission grid imposes constraints on deployment of renewables - wind, solar, and geothermal power due to absence of its reach in places where these sources exist (E.g. Nation has enough wind for 20% of national requirement, but is not accessible).

� Congestion hurts reliability of grid, esp. where new power sources originate

� Monitoring and control technology on transmission and distribution is weak

� Transmission congestion costs consumers in eastern U.S.$16.5 billion per year in higher electric bills.

� Smart Grid should reduce cost of power outages - 2003 blackout in N.E. caused an estimated $7 - $10 billion in losses

� Other requirements

� Security

� Redundancy

� Reliability

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A UCLA-based industry-university-government partnership to innovate and collaborate on Wireless Internet Technologies for Enterprise and Consumer Applications

Research

Education

Technology

transfer

Training

Tech

publicationsPosition

papers

Collaboration

& pilot studies

Workshops /

Forums

Technology

development

WINMEC – what we do

Business/market/

engineering

reports

Thought

leadership

10/2/2009 4

UCLA WINSmartGrid Nov 4th Smart Grid

Thought Leadership Forum

Andres Carvallo, Chief Information Officer, Austin Energy

Woodrow Clark II, CEO/Energy Strategic Plans, Clark Strategic Partners

Mort Cohen, Principal RevGen Group

Kevin Garrity Manager LADWP

Marie Hattar VP, Network Systems and Security Solutions, Cisco

Kim Huntley, Director, Defense Logistics Agency, DOD

Mark McGranaghan, VP, EPRI

Scott Pugh, Science & Technology Directorate, Department of Homeland Security

Ted Reguly, Director - Smart Meter Program Office, San Diego Gas and Electric

Malcolm Unsworth, President & CEO, Itron, Inc.

TBD, Duke Energy Corp

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10/2/2009 5

Reconfigurable Wireless Interface for Networking

of Sensors (UCLA-ReWINS) – Architecture

-

Fig. 1 Architecture of Intelligent sensor Interface

-

Hardware design of Intelligent sensor and wireless interface

Sensor Interface Module

10 bits A/D

Converter

Multi Channel16/32 bit

Microcontroller

256KB

EEPROM

RF

Transceiver

Sensing Unit

Digital

Signal

Analog

Signal

Sensors

Actuators

Data

Processing

RF

Transceiver

•Multiple protocols •Variable payloads - depending on the level of intelligence required by smart appliance•Existing devices - Works with existing devices and open for scaling up

•Multiple sensors – temperature, humidity, motion, shock, acceleration, gyroscopic, chemical•Embedded demand response intelligence within low-power Atmel processor•Accept time of day pricing•Framework for open AMI – connects with thermostats, meters, appliances, and HANs

10/2/2009 6

WINSmartGrid - Reconfigurable Wireless Interface for Networking of Sensors (ReWINS)

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WINSmartGrid – Technology

Based on ReWINS� Low Power technology

� Open architecture

� Standards-based communications adapted to fit the problem resulting in lower overall cost

� Wireless infrastructure for monitoring

� Wireless infrastructure for control

� Two-way communication

� Service architecture with layers - Edgeware, Middleware and Centralware

� Over the air download for real-time reconfigurability with wireless

� Plug-and-Play approach to network installation

� Reconfigurability - The capability of the technology to be reconfigurable allows OTA (over the air) upgrade of the firmware to be able to handle different appliances, applications, sensors, controllers, thermostats, smart meters, PHEVs.

•Variable and uncertain sources

•Solar

•Wind

•Variable sinks

•Appliances

•Spatial and Temporal sources

and sinks

•PHEVs / hybrids

•Demand Response

•Plug and Play

•Open Architecture

… An intelligent network making

decisions

RESEARCH

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10/2/2009 9

UCLA WINSmartGrid Research

Objectives of research- to determine what the wireless and sensor/monitoring communications architecture will look like for a scalable smart grid.- to determine how demand response functions in Smart Grids-to determine what the % reduction demand response will be in real-world scenarios- to study security issues within a wireless micro grid.- to connect various smart appliances and devices for studying scaling and performance of heterogeneous wireless infrastructure- open-systems to allow vendors to create plug-and-play sensor-enabled appliances- to investigate integration of PHEV and other energy storage systems- to study how variable, small and intermittent renewable energy sources would affect the last mile of the smart grid (distribution)- to propose data modeling and exchange frameworks for wireless sensors, nodes and controllers in commercial and residential settings

WINSmartGrid ConnectionThank you

� Rajit Gadh, Professor

� Director, UCLA-WINMEC

� Director, UCLA WINSmartGrid Connection