Smart Metering: IT and Power Sector Distribution – A Techno-economic Analysis October 5, 2004 Dr. Rahul Tongia Systems Scientist School of Computer Science (ISRI) / Engineering & Public Policy Carnegie Mellon University Pittsburgh, Pennsylvania [email protected]With support from PESD, Stanford University
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Smart Metering:IT and Power Sector Distribution –A Techno-economic Analysis
October 5, 2004
Dr. Rahul TongiaSystems Scientist
School of Computer Science (ISRI) / Engineering & Public PolicyCarnegie Mellon UniversityPittsburgh, [email protected]
Pricing End-Use Rates Usage Based Rates TOU Rates Real Time Pricing Metering None Total kWh Usage Time Period Loads Hourly Loads Load Shape Objectives Load Growth Load Growth, Valley
Filling
Peak Shaving, Shifting,
Conservation
Preserve Electric Reliability, Customer
Cost Management Customer Involvement
Active, Fuel Switching Passive, few options Utility Command and
Control Interactive Particiaption
Demand Response Contracts for Service Water Heater Time
Clocks
Curtailable, Interruptible, Direct
Control
Demand Bidding, Risk Management
• Increased choice • Service tailored to
customer needs
• Reduced choice • Increasing value to
customers • Declining cost
• Reduced choice • Increasing costs • Loss of control • Declining value to
customers
• Increasing choice • Cost Volatility • Value of Information
Source: New Principles for Demand Response Planning. Palo Alto, EPRI: 1006015
Hybrid wireless (GSM) and PowerLine Carrier (PLC)Store and Forward architecture (not fully real time)
Function of when the technology decisions were made?
Blanket deployment – lowers costsAssumed existing meters were a sunk cost
Other driver(s) than typical CBAChanging load ratings (3.3 kW, 6 kW, or 9 kW) for consumers previously required truck rollDeregulation by 2007~3% bad collection
Partnering with IBM for modifications and reselling worldwide
Be able to…Micromonitor and control every kWhProvide improved power qualityRemote connect/disconnectManage loads and offer new servicesAnd, of course, reduce theft
While allowing…Improved utility operationsNext Generation DSM
Target specific usersAll agricultural (almost one-third of the load)All Industrial and larger commercial usersOnly the larger-size domestic users
Estimated 2/3 of homes only use <50 kWh per monthInclude network nodes that need monitoring and/or control
SubstationsTransformersCapacitor banks (as applicable)Relays (as applicable)etc.Excludes capital for utility equipment like transformers
New system designs and services are not factored inPre-paid meteringFuture interaction with smart appliances, smart home networks, etc.Distributed generation
Improved power qualityAgricultural alone 25 8.3 1/3 of potential is realizedIndustrial 2.4 1.2 Based on capital stock and one-time 1% incr. equip.lifespanTOTAL Benefits (paise/kWh) 93.3 33.7
Reasonably conservative assumptions -- Cost per node assumed several % higher than ENEL’s project (which was blanket deployment)-- Only includes benefits where IT could play a role even within “Ultimate Potential”– Excludes trickle down/multiplier effects or +ve externalities like higher industrial growth
Draft – Subject to ChangeImplementation of Smart IT:Organizational Barriers
“Inertia” of some utility ground-staffReduces their extra income (theft connivance) or local standing
Bad decisions carry some irreversibilityE.g., reintroducing meters for the 12 million+ pumpsets is very hardHalf-way measures for Digital Metering ($100s of millions at a state level)
Today’s Inertia: (Simply) Digital Metering SolutionsSimply move to Digital Metering, down to DTR level
Driven by “mandate” for “universal” meteringMainly for historical (accounting) purposes
ToD usage recorded but read infrequentlyUsing “standard communications” won’t work or scale
Modems can not offer (near) real-time control5 min. intervals: > 100,000 reads annually
Cost-Benefits of simply Digital MeteringExpensive meters yet limited capabilities
$20+ for low end up to ~ $200 for 3 phase at 11 kV level Still costs about 1/3, and no metering for agricultureOnly benefits: some theft reduction, marginal operational improvementsEstimated costs ≈ benefits if lucky
Incremental costs for a Smart IT can be v. low (< ~$5–15/node)
Lose perhaps 2/3 of anti-theft benefits, much of the shiftable loadBut residential/commercial peaks remain
Consider: Smart System BUT Dumb AgricultureSimilar to Smart System but sans agricultureCosts are ~ 50 – 70% of Smart IT (depending on depth into rural areas)Benefits 2-3 times that of simply digital metering
Still coversIndustrial/commercial users
Paying 2/3+ of revenues Residential+Commercial Consumers – responsible for the peak
Allows migration to full Smart IT solution including agriculture
Time frames for implementing – waiting for “right” technologiesDirectionality of information flow
Interim for DR: why not use digital radio for announcing “peaks”?Is the WAN the bottleneck? Use of complementary infrastructure (e.g., broadband)Real Time Pricing plansModularity and scalability for implementation and realizing benefits
Demand Response and DSMShort Term vs. Long Term abilities to shift loads
Human Intervention vs. passiveNew technologies for the home (e.g., smart refrigerators)Standardization and new standards