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ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
1
Lecture 1 Course Preview and Organization
March 28
Dan ONeill
Dimitry Gorinevsky
Seminar Course 392N ● Spring2011
Outline
• Today is a short introductory lecture. • Regular lectures begin April 4• Today
– 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 EE– Information Decision and Control Applications– Broad industrial experience in advanced systems– www.stanford.edu/~gorin
• 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
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Logistics for the Course
• 1 unit CR/NC• Weekly on Mondays
– The room and time might change!– Watch the class website announcements
• Two introductory lectures– Grid and Comm. Overview – Dan– Control and Monitoring Basics – Dimitry
• Seven lectures by industry leaders• Final class
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4Intelligent Energy Systems Gorinevsky and O’Neill
Logistics for the Course
• 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 final– Will be considered by Stanford faculty and industrial
presenters to receive research funding – The 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 Systems
• Look at intelligent energy systems from a systems point of view
• Nearer term evolution of the grid leading to the Smart Grid
• Focus on information and management
• Specific challenges
Time
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6Intelligent Energy Systems Gorinevsky and O’Neill
• Traditional Grid
• Intelligent • Energy Systems
• Smart Grid
Traditional Grid
7
Conventional Electric Grid
Generation
Transmission
Distribution
Load
Conventional Internet
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
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Backup: Traditional Grid
ee392n - Spring 2011 Stanford University
Three major interconnects
Intelligent Energy Systems Gorinevsky and O’Neill
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• 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
Intelligent Energy Systems Gorinevsky and O’Neill
Plant Age in Years
Installed Net Capacity
in MW
Units without FGD: 15 years – Cluster V; < 15 years – Cluster VI
0
100
200
300
400
500
600
700
800
900
0 5 10 15 20 25 30 35 40
400 MW,
< 15 years
< 400 MW, < 15 years
400 MW, 15 years
< 400 MW, 15 years
I
II
III
IV
Backup: Capital Plant Age
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10Intelligent Energy Systems Gorinevsky and O’Neill
Intelligent Energy Systems
• Integrate leading edge– Control, monitoring
and decision support – Communications
technology – Information technology
• In new applications– Distribution
Automation– Demand response– Building EMS
• Traditional Grid
• Intelligent • Energy Systems
• Smart Grid
ee392n - Spring 2011 Stanford University
11Intelligent Energy Systems Gorinevsky and O’Neill
Smart Energy Grid
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Conventional Electric Grid
Generation
Transmission
Distribution
Load
Intelligent Energy Network
Load IPS
Source IPS
energy subnet
Intelligent Power Switch
Conventional Internetee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
Current Systems Engineering
• Energy Management Systems – GE • Demand Response – Akuacom/Honeywell• Building Optimization – UTC• Plant Monitoring – EPRI • Sensing and Local Comm – Arch Rock/Cisco • Wireless – EPRI• Wireline (IP) - Cisco
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13Intelligent Energy Systems Gorinevsky and O’Neill
Communications
• Many competing ideas and standards
• Issues of performance and latency
• IEEE/NIST interface and data standards
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Business Logic
Internet Applications
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Intelligent Energy Systems Gorinevsky and O’Neill
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Database
Presentation Layer
Backend
Computer
Tablet Smartphone
Internet
CRM and ad analyticsPortfolio optimizationDecision supportFraud detection
Business Logic
Intelligent Energy Applications
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Intelligent Energy Systems Gorinevsky and O’Neill
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Database
Presentation Layer
Computer
Tablet Smartphone
InternetCommunications
Energy Application
Application Logic(Intelligent Functions)
Demand Response Application
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
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Akuacom/HoneywellMay 16 Lecture
Plant Monitoring Application
ee392n - Spring 2011 Stanford University
Intelligent Energy Systems Gorinevsky and O’Neill
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Diagnostic Advisor
Plant Staff
On-Line Monitoring
Design
PdM Exam& Log Data
PlantProcess Data
FailureMode Data
Experience
Center Staff
Enterprise Asset Management System
Asset Fault Signature Database
EPRIMay 31 Lecture
Energy Management System
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Intelligent Energy Systems Gorinevsky and O’Neill
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GEApril 25 Lecture
SCADA/EMS
Load Shedding & Restoration
Applications
Switch Order Management
Generation Dispatch and Control
Transmission Security Management
Voltage/Transient Stability
Unit Commitment/Transaction EvaluationDemand Forecasting