IT and the smart grid, Peter Will,Information Sciences Institute, USC' - Presentation Transcript
IT and the Smart Grid Peter Will USC Information Sciences Institute [email_address] http://www.isi.edu/will/ Sources: Wikipedia, US DoE, EPRI, SCE, PG&E etc
Electrical Energy The Grid Switchgear Transformers Power lines Command and Control Every country has one, Many countries are interconnectd generators consumers
The US Ideal Grid
The Actual 3 US Grids plus Canada and Mexico connections
Grid Statistics
There are more than 3,100 electric utilities :
213 stockholder-owned utilities provide power to about 73% of the customers
2,000 public utilities run by state and local government agencies provide power to about 15% of the customers
930 electric cooperatives provide power to about 12% of the customers
America has about 10,000 power plants .
The "handoff" from electric transmission to electric distribution usually occurs at the substation. There are hundreds of thousands of substations
The distribution system is generally considered to begin at the substation and end at the customer's meter.
Also, in 2,000 localities across the country, state and local government agencies operate their own distribution utilities, as do over 900 rural electric cooperative utilities.
Virtually all of the distribution systems operate as franchise monopolies as established by state law.
Power and Grid Control Area Control Operators Major power plants “ For an ac power grid to remain stable, the frequency and phase of all power generation units must remain synchronous within narrow limits. A generator that drops 2 Hz below 60 Hz will rapidly build up enough heat in its bearings to destroy itself. So circuit breakers trip a generator out of the system when the frequency varies too much. But much smaller frequency changes can indicate instability in the grid. In the Eastern Interconnect, a 30-milli-Hz drop in frequency reduces power delivered by 1 GW. If certain parts of the grid are carrying electricity at near capacity, a small shift of power flows can trip circuit breakers, which sends larger flows onto neighboring lines to start a chain-reaction failure . ” from http://www.aip.org/tip/INPHFA/vol-9/iss-5/p8.html
Historic Catastrophic Failures
1965 NE blackout
2003 Ohio Failure
International failures
Typical causes
Trees falling on wires
Ice build up
aerodynamic clashes
Short to ground
Increase in load
Operators had only telephone connection to other operators
no sensors,
no real time control
No modern IT
So controllable local faults escalated to bring down half of the USA
Grid Control
Today manual
Dispatching is human oriented in control rooms, Phone connected, protection relays blow automatically. A few seconds can avoid a grid collapse
Multi-phase-angle measurement correlated with GPS position
Line sag, temperature, moisture
And AUTOMATE
Grid Failure Mechanisms
Power factor and compensation needed
Switchgear, protection relays fail
Transformers, lines overheat, get ice-coated
Problems: line capacity including thermal limits, line sag, wind induced oscillations, flashover, corona, solar flares (~7% loss --- better cables? superconductor cable?)
Up to now, it has been almost impossible to foresee the temperature distribution along the cable route, so that the maximum applicable current load was usually set as a compromise between understanding of operation conditions and risk minimization. The availability of industrial Distributed Temperature Sensing (DTS) systems that measure in real time temperatures all along the cable is a first step in monitoring the transmission system capacity. This monitoring solution is based on using passive optical fibers as temperature sensors, either integrated directly inside a high voltage cable or mounted externally on the cable insulation. Source Wikipedia
Harmonics and Phase unbalance
Command and Control; sense, reconnect,
Hackers and security
Grid Stability
All generators must be in synchronism
All generators must be in phase
All generators should supply the same voltage
In practice these conditions do not always apply
Synchronous motors operate at low phase shift Voltage and power drawn are interrelated too much power drain can cause failure Multi-phase lines may have differential unbalance due to phase angle loading Apply capacitors to give a leading power angle Requires high speed sensor acquisition and a high speed real-time system to close the loop esp. near instability: greater operating margin without hurting the safety factor. Operating point
Timing (from Amin)
1-hour-ahead Assure adequacy of resources Identify system bottlenecks
5-minute Assure reliability, efficiency Update control parameters and limits. Look-ahead (about 10 to 20 minutes) Alert system operator and/or hour-ahead cycle
1-minute Maintain efficiency and reliability, as per the 5-minute cycle. Adapt the more recent models
2-second Collect/validate data for use by control area or interconnection including data acquired in the 10-millisecond cycle (PMUs). Perform closed loop controls (Area Generation Control, etc.) Adapt control parameters and limits for faster cycles
1-second Control extended transients (secondary voltage control, etc.) Adapt control parameters and limits for faster cycles
100-millisecond Control imminent system instabilities including execution of intelligent Special Protection Schemes (iSPS) based on adaptive models or criteria identified by slower cycles.
IT and the Smart Grid: two views Smart Energy Delivery Smart use of electricity Few players Huge capital investment All “Silicon Valley” playing Smart Grid = old grid + Internet Smart Grid = AI embedded into the Grid Supply Demand
Principles of a New Electricity Constitution
Require Fundamentally Higher Distribution Reliability Standards
Compensate Utilities Based on their Reliability, Efficiency and Customer Service Quality
Enable Municipalities to Control Their Electricity Distribution Infrastructure
Eliminate Restrictions on Smart Microgrids
Provide all Consumers with Time-of-Use Electricity Rates
Establish Truly Competitive Retail Electricity Service Markets
The Goal of the New Grid Dept of Energy
A high altitude view: The Open Smart Grid
We are not designing a technical system, primarily
We are designing a new cyber-physical economy (or “a new playing field”)
Multiple players
Competing interests
No central control
The problem with economies is they sometimes go screwy
We do not understand systems of this complexity at theoretical level
This one needs to work. (nice if the other ones did too..)
( from J WroclawskI, ISI)
The Target Smart Grid
Steve Pullins, Team Leader for the Modern Grid Initiative at NETL (National Energy Technology Laboratory) notes that there are seven characteristics to a smart grid
Motivates and incorporates consumers
Accommodates a wide variety of generation and storage
Accommodates competitive markets
Resists attack
Matches power quality to needs
Optimize assets
Is self-healing
Bumps on the road to a Smart-Grid
from Clark Gellings, VP of Technology Innovation at EPRI (Electric Power Research Institute).
Load is growing about twice as fast as transmission capacity, and has been for over 10 years. Lots of congestion. We’ve modernized virtually every industry in the U.S. except this one –
It is mechanically controlled,
No sensors,
No information technology,
No digitization,
It can’t heal itself,
We get information about problems too late.
And that is just the beginning
This is the IT/Smart Grid Research Agenda.
Smart Grid Summary
Sense Conditions/Overloads anywhere
Load distribution
Line-balance in a multi-phase supply
Phase angle control
Over-current
Level of harmonics
Sensing: e.g. transformer oil temperature
Local outage control
Predict the daily and seasonal loads
short term prediction e.g. tomorrow’s weather,
Wildfires,
Ice-storms
Earthquakes
Take action
Digital Grid
The digital grid does not refer to the electrical current . It refers instead to an essentially a self-diagnosing grid infrastructure consisting of intelligent digital sensors.
The architecture also includes real-time decision support for customers and utilities.
For example, this often includes smart appliances and thermostats that can automatically throttle energy consumption during peak load periods to avoid the necessity of rolling blackouts, etc.
Utilities will generally also move towards demand-response pricing models, so that variable rates apply to energy depending on the overall load on the grid (e.g., it will be cheaper to do a load of wash at night during low demand periods).
It is also possible to build better security into such a grid than currently exists.
But some want to transmit pulses of energy -- if we had storage
New Functions
Remote meter reading
New meters and switches for selective “shutouts” down to within the home or office
Functions enabled by ubiquitous sensing
New appliances with power cost functions
Proactive control by the utility eg It turns up/down the thermostat via “Zigbee”
Fault detection, repair and recovery
Two way power eg use your Prius for storage
Smart Meter
Olden days: a person read the meter monthly
Now, smart meters can be read much more often
What can you find out if you mine this data? A great deal
The Honeywell research on the instrumented house
Mats by each bed, measure when coffee is made, take showers etc to get a load profile
Utility could do experiments
What if such data were widely available?
Older people would say no
Young people, the Google generation, may not care about privacy
Use of the data in social networking
Drive for the common good
Block parties to celebrate the biggest energy saver in the neighborhood
Finding marijuana farms by monitoring 24/7 electricity usage?
Is this all good?
What is tomorrow’s meter
The meter is multi-functional:
A power measurer
a LAN controller probably
A tarriff indicator
A c e ll phone for calling home and for remotely loading software
a secure cell phone
An ad hoc network router
on a broadcast wireless r.f. band
A security system
with security detection rules
with security mitigation rules
The meter is a now a very complex device and the key to Utilities entering the home, business.
See http:// www.sce.com/nrc/videos/smartconnect/smartconnect.html
In the beginning, there were serially reused big expensive computers that held “corporate” information
Then multi-terminal time shared computers to give access to corporate information
Then small real-time computers
Then non-TCP/IP networked computers for business,
IBM in 1974 mantra was DB/DC
Then the IBM Personal Computer
Then Internetted PCs
Then Cloud Computing that comprises blocks of computers holding “corporate” information
Moore’s Law has reduced the cost of hardware by a factor of 2 every 18 months for~40 years
Throwing hardware at a problem is a good thing
Software costs have risen. The lines of code per day has remained the same while the cost of a programmer has risen A suite of VLSI CAD tools is $1 million per user + maintenance Clouds: single clouds and clouds of clouds
All new applications always use the latest version of IT’s hot topics
Hot Topics Today
The Web
Federated Services
Cloud Computing
Cybersecurity
Agents
Systems of Systems
SOA
SAAS
JAVA AJAX
XML DAML
RTOS
The World Wide Web
Everything is stored,
Everything is available
--- if you can get the URL to it
The WWW has changed everything in IT
The WWW has, by design, Redundant Multi-Path Routing
Note
The Web is built on the voice based phone system that was designed for the minimal # of switches between subscribers, therefore it has a high physical internal connectivity
Webearth from www.ibiblio.org/.../de2007/webearth.jpg
The Redundant Web from CIA website
The US Grid
Grid and Internet Networks
The Grid and the Internet are networks. The Grid is partially a graph, partially tree-structured
Node connectivity, k = ~2.7
The distribution of k is a power law
Both Grid and Internet are “small world” networks “by design”
Path length is about the log of the number of nodes
Sociology showed 6 nodes from anyone in the US to anyone else
In both :---
Failures occur when a node is overloaded
This causes the load to be taken up by other nodes that get overloaded and fail etc., etc.
Failures can be caused by taking physical action
Failures can be induced by software
A Top Level Issue
The Grid grew incrementally around big ac power stations that were not too far apart geographically
Big users relocated near big sources of power
1900 Carborundum to Niagara Falls
2000 Google to Bonneville
You have just seen the Grid and the Internet
Not best for fault isolation, recovery
Is the Grid topology the best one?
IT: Scaled, Layered Architecture Get sensor data from Grid and from Residences Put commands for control Store User data, usage history, fiduciary, Serbanes-Oxley Billing through Google Smart two-way Meters Generators, substations, line state, switchgear, connections to businesses, homes Application Layer Middleware Layer Physical Layer The Electrical Grid The Internet The Grid Grid and Cloud Computing Apps Faster response Slower response
Smart Energy Web Vision Energy infrastructure 1 Communications infrastructure 2 Computing / information technology 3 Business applications – “ Smart Energy Web” 4 Security Energy information network Cap banks Reclosers Switches Sensors Transformers Meters Storage Substation Wires Customers Servers Data storage Web presentment Transactions Modeling Smart agents Intelligence Generation / supply Solar monitoring & dispatch Backup generation Grid 2 Vehicle / Vehicle to Grid Distributed generation Distributed storage T&D SCADA T&D Automation Load limiting Fault prediction Outage management Micro-grid Usage / demand Interval billing Load control Prepay In home displays Energy mgmt systems Power quality management Grid appliances Fiber/MPL RF Mesh Home Area Network (HAN) Broadband WWAN 3G Cellular
SCADA
SCADA stands for Supervisory Control And Data Acquisition . It generally refers to an industrial control system: a computer system monitoring and controlling a process. The process can be industrial, infrastructure or facility based industrial processes include those of manufacturing , production , power generation , fabrication , and refining , and may run in continuous, batch, repetitive, or discrete modes source Wikipedia: SCADA
Real time control,
Real time operating systems,
Embedded processors
Technically the technology is real-time programming of embedded processors, interrupt processors, with time critical programs in very low level languages including as low as Assembler and even in native instruction language.
Generally task switching in Windows and MacOS are not fast enough, nor is Linux or UNIX. Use proprietary RTOS eg from robotics or write your own monitor
Grid Problems IT and the SMART GRID
Supplying enough clean power
Base power
Fast reacting power
Distributed power
Distributing the power to the user
Minimizing outages
Smooth recovery methods
Distributed Control
Security
Micro and Mini-grids
Advanced Power Metering
Systemic control of power usage by consumers--really local brown-outs
Measure Everything
The Grid fails when there is a current overload --- sense the voltage amplitude and current phase everywhere, GPS located, in real time
Prevention of cascading faults --- AI, modeling and real time prediction, million element simulation, non-linear d.e.’s
Prevent too much reactive power --- add in the right sense, replace capacitors
Prevent Instability when the solar and/or wind farm percentage exceed 10 to 15%
solar and wind are harmonically impure and have large amplitude fluctuations
added power must be locally phased and synchronized to milli-degrees
Connect the Grid for Data. Connect via Internet or via the power lines? Guaranteed delivery?
Security Once connected, the Grid becomes the Ideal Target for Terrorists so there are immense Security problems
Agents
Old idea going back to Actor ideas in the ’70’s
More and more popular, many conferences today
Not used in a big system as far as I know
Eg WWMCCS, Air Traffic Control … yet
Can you guarantee stability of a network of agents??
Was the recent Wall Street crash due to Agents going unstable?
Azimov’s Laws for Agents, anyone?
IT Research-Smart Meters
Design your own meter
Extend the AMI (Advanced Metering Infrastructure) protocol, 15 minute to 15 second meter-reading, prioritization
Deliverer’s side
“ Brown out” --- but not too brown
Design of Appliances that can accept a degree of browning
Consumers side
Smart thermostat, smart everything
Help with tariffs
Time of day tariffs
Meter becomes a mini-command center inside a house
Multi-modality Data Mining to augment smart metering
Tough business to enter
IT Research-Comm, Networks
Carriers
Use Internet or use data over wire
Need an alternate path if using Internet
If power grid goes down, the Internet goes down!!!
But the Grid wires stay up, perhaps a bit disconnected
Trade-off, merge?
Is Internet fast enough?
Maybe have to have reserved capacity
Reservation Protocol see ISI web site
Hacker-proof?
IT Research-Security
Internetting VASTLY increases the security risk
National Enterprise vulnerability
So does the use of cloud computing
The Hacker and terrorist problem
Denial of service attacks, malware of all kinds
Guaranteed-Secure kernel? Not Windows, not even Unix, not even Linux! Maybe VM
Data Detect via normal security mechanisms
Add additional authorization layer based on defined policies
AI: Use the intent of the message bearing in mind the current state to do security??
IT Research Areas - Faults
Look at the Network Flow of current
Detect incipient fault using a fast simulator
Predict its extent and effect
Build protective isolation ring
Selective shut down based on the prediction
Some assets cannot easily be shut down e.g. a nuclear plant
KEY ISSUE: Fault propagation time vs Internet time
Detection of multiple synchronous faults (the Al Queda attack problem )
IT Research-Recovery
Smart Autonomous Restoration of Service
Smart for user
Bring up critical first
Smart for supplier
Depends on type of asset
40-minutes to bring base station on line
0-time for solar if the sun is shining
Don’t overload while restoring
Done today largely by human control
IT Research-Decision Support
Decision Support Tools
Automation supervision eg dispatching
Supervisory function on operations
Better Visualization of data for decision makers
Hierarchies of Decisions; some automated some human
Useful Decision Support tools do not make decisions – people do
Tools assist with four functions:
Identifying/assembling promising alternative courses of action
Determining detailed case-specific requirements and implications of competing alternatives
Assessing relative tradeoffs (e.g., costs, benefits, risks...) of alternatives
Formulating personalized metrics and triggers for future “continue vs. revise” decisions regarding adopted choices
Generate all feasible solutions Roll out implications of standard rules and procedures Explain reasons and constraints Explore alternative options Drill down into alternatives Explore spatio-temporal data
Understand...
What happened
Why it happened
How to affect it
Choose or create good visualizations Manage, query, mine streaming data from >10M live or simulated entities
Fast, accurate adaptation; less user load, more quality
Smart alerting of changed situations
Multiple options consider ripple effects
Understand who’s affected, notify accordingly
Rapidly resynchronize
Recognize models stray from reality Analyze risk; avoid blunders Leverage the intelligence of users Outperformed competition in gov’t tests by 60-80% on 98% of test suite Collaboratively share and publish results and comments Attach machine-interpretable annotations to views and data Find others with relevant knowledge
Cloud Computing
The cost of building maintaining and running your own computational/business facility is too high and getting higher.
Revert to a new version of the original computing model now called “The Cloud” containing a network of thousands of computers, Unix boxes, PCs and Macs.
You rent a piece of it
Clouds can be networked to give clouds of clouds
Major Issues
Availability and loading
Cloud reliability
Cloud security
See Sun’s http://blogs.sun.com/gbrunett/entry/cloud_security_webinar_on_tuesday
IT Research- Demographics
How will people respond to the system?
Ignore after a few weeks? …(the 1960’s experience in the UK)
Embrace the technology? (today’s web savvy population, social networking?)
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