ee392n - Spring 2011 Stanford University

Intelligent Energy Systems Gorinevsky and O’Neill

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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

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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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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

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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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• Traditional Grid

• Intelligent • Energy Systems

• Smart Grid

Traditional Grid

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Conventional Electric Grid

Generation

Transmission

Distribution

Load

Conventional Internet

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Intelligent Energy Systems Gorinevsky and O’Neill

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Backup: Traditional Grid

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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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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

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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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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

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Intelligent Energy Systems Gorinevsky and O’Neill

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Akuacom/HoneywellMay 16 Lecture

Plant Monitoring Application

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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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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

End of Slides Lecture 1

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