Seminar Course 392N ● Spring2011
Lecture 1 Lecture 1 C P i d O i iC P i d O i iCourse Preview and OrganizationCourse Preview and Organization
March 28
Dan ONeillDan ONeillDimitry Gorinevsky
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
1
Outline
• Today is a short introductory lecture. y y• Regular lectures begin April 4• Todayoday
– Class logistics– Intro to intelligent energy systems
ee392n - Spring 2011 Stanford University
2Intelligent Energy Systems Gorinevsky and O’Neill
Instructors
• Dimitry Gorinevsky, Consulting Professor in EEy y, g– Information Decision and Control Applications– Broad industrial experience in advanced systems
www stanford edu/ gorin– www.stanford.edu/~gorin
• Daniel O’Neill Consulting Professor in EE• Daniel O Neill, Consulting Professor in EE – Communication Networks and Demand Response– Executive and venture capital experience– www.stanford.edu/~dconeill
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
3
Logistics for the Courseg
• 1 unit CR/NC• Weekly on Mondays
– The room and time might change!– Watch the class website announcements
• Two introductory lecturesG id d C O i D– Grid and Comm. Overview – Dan
– Control and Monitoring Basics – Dimitry
• Seven lectures by industry leadersSeven lectures by industry leaders• Final class
ee392n - Spring 2011 Stanford University
4Intelligent Energy Systems Gorinevsky and O’Neill
Logistics for the Courseg
• Requirements:– Attendance
• 1-2 page proposal for intelligent energy concept, research, or product, based on class presentations– Teams of up to three people, one person is acceptable– Due May 31
• Top three proposals will be presented at the finalWill b id d b S f d f l d i d i l– Will be considered by Stanford faculty and industrial presenters to receive research funding
– The best proposal will be archived on class websiteThe best proposal will be archived on class website including author info; expect PageRank 4 to 5.
ee392n - Spring 2011 Stanford University
5Intelligent Energy Systems Gorinevsky and O’Neill
Intelligent Energy Systemsg gy y
• Look at intelligent energy g gysystems from a systems point of view
Traditional Grid
• Nearer term evolution of the grid leading to the Smart G id
TimeIntelligent
Energy Systems
Grid• Focus on information and
tSmart Grid
management• Specific challenges
ee392n - Spring 2011 Stanford University
6Intelligent Energy Systems Gorinevsky and O’Neill
Traditional Grid
Generation
Transmission
Distribution
Conventional Electric GridLoad
Conventional Internet
7ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
Backup: Traditional Gridp
Three major interconnects
ee392n - Spring 2011 Stanford University
8Intelligent Energy Systems Gorinevsky and O’Neill
The Traditional Grid is Changing
• Incorporating renewables – supply(t)
g g
p g pp y( )• Replacing old equipment, $1.5T
– Electrical efficiency y– Reliability – Embedded smarts
• Reducing operating costs– Excess capacity: Reserves– Bottlenecks: Transmission
• Deregulating
ee392n - Spring 2011 Stanford University
9Intelligent Energy Systems Gorinevsky and O’Neill
Backup: Capital Plant Age900
400 MW, 15
400 MW, II
p p g
600
700
800 < 15 years 15 yearsII
IV
Installed Net Capacity
in MW400
500
600I
in MW
100
200
300
III
Plant Age in Years
0
100
0 5 10 15 20 25 30 35 40
< 400 MW, < 15 years
< 400 MW, 15 years
Plant Age in Years
Units without FGD: 15 years – Cluster V; < 15 years – Cluster VIee392n - Spring 2011 Stanford University
10Intelligent Energy Systems Gorinevsky and O’Neill
Intelligent Energy Systemsg gy y
• Integrate leading edgeg g g– Control, monitoring
and decision support Traditional Grid
– Communications technology
– Information technology
Intelligent Energy SystemsInformation technology
• In new applications– Distribution Smart GridDistribution
Automation– Demand response
Smart Grid
– Building EMSee392n - Spring 2011 Stanford University
11Intelligent Energy Systems Gorinevsky and O’Neill
Smart Energy GridgyIntelligent Energy Network
Source IPS
L d IPS
energy subnet
Load IPSIntelligent
Power Switch
GenerationTransmission
Conventional Electric Grid
DistributionLoad
12
Conventional Electric GridConventional Internet
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
Current Systems Engineering y g g
• Energy Management Systems – GE gy g y• Demand Response – Akuacom/Honeywell• Building Optimization – UTCu d g Opt at o U C• Plant Monitoring – EPRI • Sensing and Local Comm – Arch Rock/CiscoSensing and Local Comm Arch Rock/Cisco • Wireless – EPRI• Wireline (IP) - Cisco• Wireline (IP) - Cisco
ee392n - Spring 2011 Stanford University
13Intelligent Energy Systems Gorinevsky and O’Neill
Communications
• Many competing ideas y p gand standards
• Issues of performance and latency
• IEEE/NIST interface and data standards
ee392n - Spring 2011 Stanford University
14Intelligent Energy Systems Gorinevsky and O’Neill
Internet ApplicationsppTablet Smart
phone
Internet
Presentation La er
ComputerInternet
Business Logic
Presentation Layer
BackendCRM and ad analyticsPortfolio optimizationD i i tBusiness Logic
Database
Backend Decision supportFraud detection
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
15
a abase
Intelligent Energy Applications g gy ppTablet Smart
phone
InternetCommunications
Presentation La er
ComputerInternetCommunications
Energy Application
Business Logic
Presentation Layer
Application LogicBusiness Logic
Database
(Intelligent Functions)
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
16
a abase
Demand Response Applicationp ppAkuacom/HoneywellMay 16 LectureMay 16 Lecture
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
17
Plant Monitoring Applicationg ppEPRIMay 31 LectureMay 31 Lecture
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
18
Energy Management Systemgy g yGEApril 25 LectureApril 25 Lecture
SCADA/EMS
ApplicationsLoad Shedding & Restoration
Switch Order Management
Transmission Security Management
Voltage/Transient Stability
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
19
Generation Dispatch and Control Unit Commitment/Transaction EvaluationDemand Forecasting
End of Slides Lecture 1
ee392n - Spring 2011 Stanford University
20Intelligent Energy Systems Gorinevsky and O’Neill