Seminar Course 392N Spring2011 Lecture 1 Course Preview and Organization March 28 Dan ONeill Dimitry Gorinevsky 1
Outline Today is a short introductory lecture. Regular lectures begin April 4 Today Class logistics Intro to intelligent energy systems 2
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 3
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 Gid Grid and dcomm. Overview Dan Control and Monitoring Basics Dimitry Seven lectures by industry leaders Final class 4
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 d by Stanford faculty and industrial i presenters to receive research funding The best proposal will be archived on class website including author info; expect PageRank 4 to 5. 5
Look at intelligent energy systems from a systems point of view Nearer term evolution of the grid leading to the Smart Gid Grid Focus on information and management Specific challenges Traditional Grid Intelligent Energy Systems Smart Grid Time 6
Traditional Grid Generation Transmission Distribution Conventional Electric Grid Load Conventional Internet 7
Backup: Traditional Grid Three major interconnects 8
The Traditional Grid is Changing g Incorporating renewables supply(t) Replacing old equipment, $1.5T Electrical efficiency Reliability Embedded smarts Reducing operating costs Excess capacity: Reserves Bottlenecks: Transmission Deregulating 9
Backup: Capital Plant Age 900 800 400 MW, 400 MW, < 15 years II 15 years 700 600 500 Installed Net Capacity 400 in MW 300 IV I 200 100 0 III < 400 MW, < 15 years < 400 MW, 15 years 0 5 10 15 20 25 30 35 40 Plant Age in Years Units without FGD: 15 years Cluster V; < 15 years Cluster VI 10
Integrate leading edge Control, monitoring and decision support Communications technology Information technology Traditional Grid Intelligent Energy Systems In new applications Distribution Smart Grid Automation Demand response Building EMS 11
Smart Energy Grid Intelligent Energy Network Source IPS Intelligent Power Switch energy subnet Load IPS Conventional Electric Grid Conventional Internet Generation Transmission Distribution Load 12
Current Systems Engineering g Energy Management Systems GE Demand Response Akuacom/Honeywell Building goptimization UTC Plant Monitoring EPRI Sensing and Local Comm Arch Rock/Cisco Wireless EPRI Wireline (IP) - Cisco 13
Communications Many competing ideas and standards Issues of performance and latency IEEE/NIST interface and data standards 14
Internet Applications Tablet Smart phone Computer Internet Backend Presentation Layer Business Logic Database abase CRM and ad analytics Portfolio optimization Decision i support Fraud detection 15
Intelligent Energy Applications Tablet Smart phone Computer Communications Internet Presentation Layer Application Logic Business Logic (Intelligent Functions) Database abase Energy Application 16
Demand Response Application Akuacom/Honeywell May 16 Lecture 17
Plant Monitoring Application EPRI May 31 Lecture 18
Energy Management System GE April 25 Lecture SCADA/EMS Load Shedding & Restoration Applications Transmission Security Management Switch Order Management Voltage/Transient Stability Demand Forecasting Generation Dispatch and Control Unit Commitment/Transaction Evaluation 19
End of Slides Lecture 1 20