APPA 2007 Engineering and Operations Technical Conference

AMI “Its more than Just Meter Reading”

By Matt Klinker

Agenda

You’ve installed the automated meter, now what?

     Intelligent Grid Advanced Metering Infrastructure Communications AMI related applications Enterprise Applications Software Selection

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Intelligent Grid

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  An “intelligent grid” can support demand response, distributed generation, time-based rates, and other programs Potential cost savings, revenue enhancement, safety and reliability improvements can be achieved through implementation of intelligent grid applications

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Intelligent Grid (Cont’d)

   Broadband communication for telemetry and control Intelligent electronic devices providing monitoring of conditions, fault detection and diagnosis, and Volt / VAR control Event management through distributed processing

AMI and Intelligent Grid

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Usage Collection Outage Management End User Interaction Distribution Automation Communications On Demand Data Analysis Substation Automation Distributed Processing Grid Automation Switching and Controls

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EPAct 2005

 Energy Policy Act of 2005    Demand Response policy Directive to offer time-based selectable rates to the client More accurate metering data   Meter deployment requirements Impact on deployment schedules

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Advanced Metering

 Advanced metering is the integration of electronic communication into metering technology to facilitate two-way communication between utility and customer equipment.

US AMI Penetration

United States penetration of advanced metering

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Docket No: AD-06-2-000 August 2006

AMI System Diagram

IED Operations Center Electric Operations Substation

Feeder Condition

MDM / CIS Customer Operations

Backbone Network AMI Host Wireless BPL PLC Cellular Meter Data / Outage Detection Time Based Pricing

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Restore Commands Meter

Consumer

Thermostat

AMI Benefits

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      Tamper detection, fraud Remote disconnect / reconnect Outage restoration and notifications Load profiling and system load snapshots More accurate billing Demand Response (DR) enabling

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Application:

Load Management

 Use AMI to reduce and manage load on the power grid.

 Load controlling devices report what loads are active at a given time  Determine whether installed peak load generation is adequate   Voltage and power quality Faster load research

Application:

Demand Response

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 Shift or reduce use to improve electrical grid integrity     Notifies Operations when grid is near or at capacity Activates on site power generation (Distributed Generation) Notifies customers when pricing structure changes Interacts with (Automated) Demand Side Management

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Application:

Automated DSM

 Customer can automatically optimize consumption  Similar to Demand Response (DR)   Enables the customer to better manage finances through decreased usage Automated DSM responds to current pricing structures

AMI Business Benefits

AMR Business Benefits by Stages

Utility Customer

$-

$2.03

$3.25

$4.02

$0.27

$0.47

$3.79

$1.00

$2.00

$3.00

$4.00

Source: AMI/MDM Utilipoint 2005

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Basic With Meter Data Management Implement Demand Response

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Distribution Network Management

  Greatest benefit to AMI is better decisions based on correct assumptions about future use.

It provides information about peak consumption to aid in outage prevention, load management, and customer incentive programs.

Application:

Outage Management

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 AMI can be key in the analysis of a service outage.

   Pinpoint where and how often an outage occurs Faster redistribution of loads to offset excess power (DA) Inform customer service of trouble  Better distribute repair crews in the field  Tamper Detection

Customer Interaction

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 AMI allows the customer to:   View up to the hour billing Customer Service will have a better understanding of customer usage   Faster, easier account service activations and terminations Enable “Time of Use” so customer can better manage their power use and lower their cost

Customer Interaction (Cont’d)

 Customers generally support the integration of AMI  PPL: “Customers appreciate the better billing and look forward to more services in the future”  PG&E: “Very few customers don’t like AMI”

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Communication Medium

 Power Line Carrier / BPL  Twisted Pair Copper  Coaxial Cable  Fixed Wireless Network  Cellular  Fiber Optics

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Meter Communications

        Internet Protocol <10 Mbps TDM <56 Kbps PLC / BPL Fiber Licensed Wireless Unlicensed Wireless Cellular Leased Lines / Dial up

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Broadband

 Bandwidth limitations are a thing of the past.

    True high speed data rates over power line (BPL) Better leverage existing fiber for backbone/backhaul (GigE) Uses: meter reading, DSM, flow measurements, etc Tap new revenue streams

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Network Management

 AMI system becomes a singular complete network management tool.

 Overlay power and communication networks  Streamline Network Operations Centers

Managing Demand

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   AMI improves the process of managing demand for natural resources Savings from selective load control, where the utility or customer schedules a time to use their utilities If specific capacity constraints exist, utilities can offer customers near real-time incentives to reduce consumption

Application:

Meter Data Management

 System for analyzing the information from the meters  Single point to archive data  Interface with billing and legacy systems  Allows for multi-user access of meter data  Optimum performance of AMR systems

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Variable Pricing Structures

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    AMI allows price structures that better reflect customer usage Variable pricing encourages off peak usage with reduced rates to customers Utilities save resources and customers save money on their utility bills A win-win situation

Time-of-Use Schedule

PERIOD RATES

Off-Peak Summer Peak Summer 4.88¢/kWh 17.83 ¢/kWh Off-Peak Winter (1 st 400) Off-Peak Winter (add’l) 6.58 ¢/kWh 4.75 ¢/kWh Peak Winter 7.52 ¢/kWh Source: SALT RIVER PROJECT AGRICULTURAL IMPROVEMENT AND POWER DISTRICT E-26 STANDARD PRICE PLAN FOR RESIDENTIAL TIME-OF-USE SERVICE Effective: November 1, 2006

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Improved Data Quality

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  Automated, remote data collection streamlines the process and increases the quality of data collected by reducing the number of steps between consumer usage and bill distribution. Hard to reach meter access is no longer necessary

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Shorter Billing Cycle

    AMI shortens the billing process Cash flow is available earlier, decreasing daily sales outstanding (DSO) Improved data integrity eliminates reissued, disputed bills AMI educes theft of services

Efficient Call Centers

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     Most incoming calls are about billing errors, rescheduling meter readings and/or reporting outages Automated data instantly available Utilities are proactively telling customers which areas are affected and the estimated duration Staff can provide better customer service Call center costs go down

Customer Intelligence

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    AMI enables customer behavior profiling Effects of outages can now be studied Data can be used demand management, phase load balancing, and time-of-use data Improves quality of service and shortens response times to outages

Other Benefits

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      Reduced call center volume of high bill complaints Reduction in costs to support estimated readings and turn ons/turn-offs Reduced trouble call dispatches More timely billing and better cash flow Reduced energy theft and tampering Optimized load and distribution network

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Future Offerings

  AMI will interact with TOU and Demand Response (DR)   Control HVAC to cool or warm structures when power is cheapest Remotely start washer/dryer/oven  Controlled through home network BPL Triple Play

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New Revenue Streams

  AMI provides opportunities to provide services for devices in the home, such as home security and appliance diagnostics The utility can collect a fee for usage of these services

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Potential Conflicts

      Service reliability Operational efficiency Energy demand management Asset management Strategic planning Capital spending priorities

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Conflicts (continued)

   Meter data management (MDM) or SCADA data storage Data latencies and resolutions Competition for capital, expertise, program management

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Deployment

 AMI is a long term objective     Plan for next decade services Leverage existing communication network Infrastructure should be robust and expandable Realistic timelines set

1

st

Speaker

Matt Klinker SR Engineer, SCADA and Telecommunications Burns & McDonnell Engineering Company 9400 Ward Parkway Kansas City, MO 64114 [email protected]

Phone: 816-822-4285 Fax: 816-822-3296

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APPA 2007 Engineering and Operations Technical Conference

AMI Enterprise Application Integration (EAI)

By Wes Hardin

System Diagram

Non-Operational Data HMI Management Substation Data Wireless Gateway Management Non-operational Data Gathering & Management Automation Algorithms Maintenance Algorithms Traditional Protective Relay Functions Operational Data Gathering Protection Algorithms EMS Control Actions Operational Data Controller PC

Data Sharing

Feeder Automation Smart RTU Distribution Devices (MODs) Meter Data (AMI) DSM Data Other Substations Radio Network Substation WAN Non-operational Data Flow Fiber Optic Network Operational Data Flow Network Data Flow Control Center Meter Management System Data Collection & Management

Data Sharing

OMS

Data Sharing

Operational Control (EMS)

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CIS Corporate LAN

Network Management Data Collection AMR Communications Management Data Collection Infrastructure Personnel Management Data Collection Manual

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AMI Data Model

Customer View Usage/Billing TOU Data Collection

AMI MDMS

Customer Service Outage Management Billing Legacy Systems

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AMI EAI

      Contact Center Asset Management WMS Mobile Workforce Management (MWM) Inventory Management Capital Improvement Planning

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AMI EAI (Continued)

        DMS/OMS Event Management CIS ERP GIS SCADA Master Planning Engineering & Design

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AMI EAI (Continued)

    Financial Systems Procurement & Purchasing Environmental Response Regulatory

Business Case

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     Customer Service   Connect/Disconnect More Service Offerings Service Reliability  Improve Outage Management Operation Efficiency    Risk Management Financial Forecasting Pricing Energy and Demand Management   Better Load Forecasting Load Control Asset/Resource Management   Better Asset Planning Workforce Management

Business Case

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     Security  Identify Energy Theft Power Quality  Measure Real-time Environmental  Defer Generation Safety  GPS and GIS Regulatory  DOE Office of Electricity Delivery & Energy Reliability (source).

EAI Objective

Interoperable organization acting on one Departmental silos with manual, facility/enterprise model with each department fulfilling its purpose and impacts rippling thru the shared, virtual facility.

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Changes in Communication

People to People People to Things

Homes

Things to Things

Appliances Buildings People Computers Intelligent Subscriber Devices Vending Machines • Multiple Connections per Person • Networking Embedded in Household and Business Devices Transportation Vehicles & Systems Parking Meters • Full Time, “Always On” Connectivity, –

At Home, At Work, and On the Go:

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Metcalfe’s Law

“The value of a network grows as the square of the number of users (n 2

).”

Value = 4 Value = 144

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Value = 25

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Metcalfe’s Law in EAI

“The POTENTIAL value of an ENTERPRISE network grows as the square of the number of CONNECTIONS.”

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Reaching the Potential

     Data Reduction Visualation Speed of Comprehension Decision Support DON’T BLACKBOX!!!!

US AMI Penetration

United States penetration of advanced metering

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Two Concepts

  DataConservation tm Facility Information Model

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DataConservation

tm Every business activity creates, maintains or uses data from a commonly shared virtual facility.

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Facility Information Model (FIM)

A digital representation of physical and functional characteristics of a facility. As such it serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle from inception onward.

Influence vs Cost Curve

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Strategy 25% Design Implement 75% Operation

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AMI Integration

   ERP/CIS MDMS AMR

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User Requirements

   Option 1: Best of breed AMR, MDMS, or CIP/ERP without constraints on pricing or the company. Option 2: Emphasis on specific features or purchasing constraints. Depending on the complexity of the requirements, the decision matrix may need to be very elaborate with percentages tied to each category.

User Requirements

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           System Architecture (10%) GIS Integration (5%) Database (15%) Maintenance Management (10%) Customer Service Request (10%) Work Order (10%) Parts Inventory (5%) Equipment management (5%) Resource Allocation (15%) Asset Management (15%) Project Management (10%)

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Feature Sets

     Compare apples-to-apples. Remove any marketing language.

Make the statements or features parallel.

Assign numerical values or score to each feature that makes the comparison clear.

Summarize details within the matrix to make the comparisons clearer

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Software Selection Criteria

        Requirements (25%) Pricing Structure (20%) Experience and Reliability (15%) References (15%) Training Approach (5%) Technical Support Approach (10%) Warranties(5%) Extended Software maintenance (5%)

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Implementation Plan

Initiate Pilot Diversify Finalize

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Get Started

"The fellow holding the cat by the tail is learning twice as much as the fellow who is just watching." - Mark Twain

2

nd

Speaker

Wes Hardin Project Manager Information Management - Electric Utilities Burns & McDonnell Engineering Company 9400 Ward Parkway Kansas City, MO 64114 [email protected]

Phone: 816-822-4361 Fax: 816-822-4366

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