ee392n lecture two: the power grid and grid communications · 2011. 4. 5. · – intelligent...
TRANSCRIPT
EE392NLecture Two:
The Power Grid and Grid Communications
April 4, 2011
Dan O’Neill
Seminar Course 392N ● Spring2011
ee392n - Spring 2011 Stanford University
1Intelligent Energy Systems
The Energy Grid
• Last time…• Intro to the grid
– Traditional grid– Change– Intelligent energy system
• Communications background– Grid communications today– Future requirements– Alternatives
ee392n - Spring 2011 Stanford University
2Intelligent Energy Systems
Last Time:Intelligent Energy Systems
• Nearer term evolution of the grid leading to the Smart Grid
• Look at intelligent energy systems from a systems point of view
• Focus on information and management
Time
ee392n - Spring 2011 Stanford University
3Intelligent Energy Systems
Traditional Grid
Intelligent Energy Systems
Smart Grid
Backup: Smart Grid
The essence of this vision is “a fully–automated power delivery network that can ensure a two-way flow of electricity and information between the power plants and appliances and all points in between”. The three key technological components of the Smart Grid are distributed intelligence, broadband communications, and automated control systems.
ee392n - Spring 2011 Stanford University
4Intelligent Energy Systems
The Energy Grid
• Last time…• Intro to the grid
– Traditional grid– Change– Intelligent energy system
• Communications background– Grid communications today– Future requirements– Alternatives
ee392n - Spring 2011 Stanford University
5Intelligent Energy Systems
Traditional Grid
• Worlds Largest Machine!– 3300 utilities– 15,000 generators,
14,000 TX substations– 211,000 mi of HV
lines (>230kV)– SCADA control– Mostly unidirectional
• Capacity constrained graph
ee392n - Spring 2011 Stanford University
6Intelligent Energy Systems
Interconnect
ee392n - Spring 2011 Stanford University
7Intelligent Energy Systems
The Energy Grid
8
Distribution
Conventional Electric Grid
Generation
Transmission
Load
Data
Management and ControlCommIT
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems
Three Planes
• Electrical power– Supply(t)=Demand(t) – Real and reactive power
• Management and Control (MC)– Local protection systems– SCADA: Supervisory Control and Data Acquisition
• Data systems– Billing
ee392n - Spring 2011 Stanford University
9Intelligent Energy Systems
Backup: Supervisory Control and Data Acquisition
• Collects, processes and displays system data– Coordinates resources– Displays problems
• Converging with standard– Communications– IT
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems 10
• Incorporating renewables – supply(t)• Replacing old equipment, $1.5T
– Electrical efficiency – Reliability – Embedded smarts
• Reducing operating costs– Excess capacity: Reserves– Bottlenecks: Transmission
• Deregulating
The Traditional Grid is Changing
ee392n - Spring 2011 Stanford University
11Intelligent Energy Systems
$850B - grid$650B - users
Nearer Term Initiatives
• Renewables• Demand Response• Grid optimization• All drive a need for IT and communication systems
ee392n - Spring 2011 Stanford University
12Intelligent Energy Systems
Renewables
• System characteristics– Time varying – Inherent randomness!
• Issues– Centralized/uGrids?– Grid control and
stability– Communications– Supply(t) < Demand(t)
ee392n - Spring 2011 Stanford University
13Intelligent Energy Systems
Renewables: The System Problem
National Renewable Energy Laboratory
ee392n - Spring 2011 Stanford University
14Intelligent Energy Systems
15
Demand Response
• A method to reduce peak to average using variable pricing – Static - Look ahead– Dynamic pricing – Real time– Direct Load Control (DLC) – Utility directly reduces load– Interruptible tariffs – Large customers only
• Many issues– How communicate?– Consumer response?
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems
Demand Response
Campus and Buildings Home
•AMI •EMS•Smart devices
Whirpool Corp. made a public commitment to ship in 2011 a
million dryers ready to plug into a smart electric grid , if
communication standards
ee392n - Spring 2011 Stanford University
16Intelligent Energy Systems
Grid Optimization
• Adjusting – Supply(t)– Connectivity
• Transmission routing• Distribution Automation
– Aggregating DR users• Commercial buildings
ee392n - Spring 2011 Stanford University
17Intelligent Energy Systems
The Energy Grid
• Last time…• Intro to the grid
– Traditional grid– Change– Intelligent energy system
• Communications background– Grid communications today– Future requirements– Alternatives
ee392n - Spring 2011 Stanford University
18Intelligent Energy Systems
MC and Data Flow
19
Generators
Transmission 275-400’s KV
Industrial Commercial Business Residential
Distribution 10-20KV
ISO
Substations
Fiber and uWave
Manual
Slow speed wired and wireless/ nothing
??????
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems
Grid Communications
•Separate systems•Reliable •Secure
•Integrated
•Not integrated with existing communications systems
•Not visible on the Internet
ee392n - Spring 2011 Stanford University
20Intelligent Energy Systems
Intelligent Energy Network
21
Conventional Electric Grid
GenerationTransmission
DistributionLoad
Intelligent Energy Network
energy subnet
Conventional Internetee392n - Spring 2011 Stanford University
Intelligent Energy Systems
Cisco will talk about this…
Intelligent Energy Systems Communications
• Near Future– Transmission Area
Network (TAN) – Field Area Network
(FAN) – Neighborhood Area
Network (NAN) – Home Area Network
(HAN)
ee392n - Spring 2011 Stanford University
22Intelligent Energy Systems
Comm. Performance IssuesBandwidth Latency Reliability Comments
Field .5 /20Mbs 10us-1 sec 99.99 Control and SCADA
Neighborhood .1/5Mbps <50 msec 99.99 AMIHome 1-10Kbps >10 sec ? EMS
HAN•Separate energy net from home datanet?•Can use Internet?
Latency•Transmission•Queuing
Comments:
ee392n - Spring 2011 Stanford University
23Intelligent Energy Systems
Alternative StandardsZigbee WiFi 4G/WiMax PLC comments
Field XNeighborhood MESH X Europe 3 vs 50Home MESH MESH Femto? XSmart Meter X X X X
ee392n - Spring 2011 Stanford University
24Intelligent Energy Systems
Smart Grid Comm Overview
• Many competing ideas and standards
• Issues– Performance
(interference)– Latency– Security
ee392n - Spring 2011 Stanford University
25Intelligent Energy Systems
ZigBee• ZigBee smart energy 2.0
standard (HAN)– ~100ft– ~250Kbs
• Many suppliers and very inexpensive
• Not compatible with PLC• Open upper layers - Flexible• IEEE 802.15.4 Physical and
Data link layers– Mesh– 900Mhz/2.4Ghz DS-Spread
Spectrum
ee392n - Spring 2011 Stanford University
26Intelligent Energy Systems
IEEE/NIST interface and data standards: Converged USNAP and EPRI home standard
Power Line Communications• HomePlug Green Phy
– 10Mbs– IP
• Uses the AC lines– Historical use in Transmission– Distribution for AMI 500Kbs– Use in Europe is diff. than US
• HAN applications (Media) – 10-200Mbps, OFDM– Multiple standards
• Questions– Reliability (Not a mesh)– Interference– Privacy
ee392n - Spring 2011 Stanford University
27Intelligent Energy Systems
WiFi
• DAN – Mesh– 802.11a backhaul– Upper layer routing
optimization and security• HAN - coexistence?
– Interference– Reliability– Security
• IEEE standard 802.11x– 2.4(g) /5Ghz (a), OFDM– Up to 200Mbs
Tropos
ee392n - Spring 2011 Stanford University
28Intelligent Energy Systems
3G/WiMax/4G
• FAN (EPRI)• Issues
– Priority - latency– Reliability – dropped calls– Cell phone companies
• Roughly– 100Mbs downlink– 50Mbs uplink
• IEEE standards– OFDMA– MIMO
ee392n - Spring 2011 Stanford University
29Intelligent Energy Systems
Communications Challenges
• The last “hop” and in the home• Distribution system network (transformers and EV’s)• Reliability and security• Hierarchical decomposition of functions and applications
=> grid management– IT structure– Communications systems
• Integration with Internet?
ee392n - Spring 2011 Stanford University
30Intelligent Energy Systems
Next Week
• Dimitry will talk on Control and Monitoring Basics
ee392n - Spring 2011 Stanford University
31Intelligent Energy Systems