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

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Intelligent Energy Systems Gorinevsky and O’Neill

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Outline

• Today is a short introductory lecture. y y• Regular lectures begin April 4• Todayoday

– Class logistics– Intro to intelligent energy systems

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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

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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

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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.

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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

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Traditional Grid

Generation

Transmission

Distribution

Conventional Electric GridLoad

Conventional Internet

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Intelligent Energy Systems Gorinevsky and O’Neill

Backup: Traditional Gridp

Three major interconnects

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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

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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

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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

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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

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Communications

• Many competing ideas y p gand standards

• Issues of performance and latency

• IEEE/NIST interface and data standards

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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

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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)

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a abase

Demand Response Applicationp ppAkuacom/HoneywellMay 16 LectureMay 16 Lecture

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Plant Monitoring Applicationg ppEPRIMay 31 LectureMay 31 Lecture

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Energy Management Systemgy g yGEApril 25 LectureApril 25 Lecture

SCADA/EMS

ApplicationsLoad Shedding & Restoration

Switch Order Management

Transmission Security Management

Voltage/Transient Stability

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Generation Dispatch and Control Unit Commitment/Transaction EvaluationDemand Forecasting

End of Slides Lecture 1

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