Austin Energy’s MDMS

Project

Presenter Reza Alaghehband, Power System Consulting Engineer

Austin Energy, Austin, TX

EMMOS Users Conference

September 8, 2014

Austin Energy: At-A-Glance

Nation’s 8th largest public power utility

Vertically-integrated utility

Governed by Austin City Council

• 422k customers; 437 square-mile service area; 1,700 employees

Annual revenue: $1.2B

$105 million General Fund Transfer for FY 2014

Diverse generation mix

• 26% Coal, 16% LNG, 23% Nuclear, 21% Renewables, 14% PP

Generation: 3,535 MW

Peak Load: 2,714 MW

ERCOT Member

2

Austin Energy: T&D System

Distribution Lines: 11,398 miles

Transmission Lines: 619 miles

Distribution Substations: 60

Transmission Substations: 12

Overhead Distribution Transformers: 43,094

Pad Mount Distribution Transformers: 34,995

Power Poles: 149,910

2013 SAIDI: 46.24 min

2013 SAIFI: 0.59

3

Austin Energy: Service Area

4

Austin Energy: ERCOT NM Participant

• Non-Opt-In Entity (NOIE) – No part in retail Market

• Qualified Scheduling Entity (QSE)

• Submit bids, dynamic/static gen schedules

• Settle retail/wholesale gen resources with ERCOT

according to EPS meters at tie-lines and generation

terminals

• Power Generation Entity (PGE)

• Transmission & Distribution Service Provider

(TDSP)

5

MDM Project at Austin Energy: Topics

• MDMS Charter Review

• MDMS Solution Configuration

• MDMS Staffing

• Projects Depend on MDMS

• Projects MDMS Depend on

• Lessons Learned

6

MDMS Charter Review

• Charter created in Jan 2012 • Revised in July 2013 to include AMI and ADMS scope

• Key Charter Objectives • Revenue Measurement and Billing: Invoice validation; validation of 3rd party

meter reads; detection of off-meter consumption (theft / tampering); provision

of customer billing reads to CC&B; consumption estimation based on a

configurable range of meter read data to improve the estimation.

• Customer Contact Center: Identification and management of daily

consumption and trends from 12 to 48 months.

• Customer Service Management: Support escalations of complex customer

issues by providing consumption data in a single repository. Ability to gather

meter read data for specific device groups (i.e.. By zone improvement plan

code).

• Electric Service Delivery: Meter Data from the L+G Command Center (CC)

head end, integration of MDMS with Advanced Distribution Management

System (ADMS).

7

MDMS Solution Configuration

8

Daily Reads

AMR DB

CC&B

Billing

Schedule

Import

Supplementary Reads

(MVRS, MV-90, CC&B)

Real Time Interfaces

ODE for Ping, Solicited Voltage

SD-OM for Power Status, Last

Gasp

Daily and Interval Reads

Gateway

Import

ODE

SD-OM

ADMS

Topology

Import

MDMS Project Team

• MDMS Team

• L+G is the prime vendor and provides PM, AMI and

MDMS expertise

• AE Staff team does majority of AE implementation

work

• Contract team has built multiple MDMS to CC&B

interfaces

• IBM Staff build MDMS interfaces to CCB

9

Projects Depend on MDMS - 1

• Project currently in MDMS Charter

• AMI (aka Command Center Migration) • Dependency: CC cannot send meter reads to CCB w/o MDMS

• ADMS • Dependency: MDMS to send Ping, Voltage, Last Gasp, Power Up

to ADMS from USC and Command Center + Daily & Interval Data

for Load Profiling

• Other systems in scope

• Lodestar – MDMS to send interval data for load profiling

• Pecan Street – MDMS to send Daily Read data for analysis

• Schneider EPO – MDMS to send interval data for C&I

10

Projects Dependent on MDMS - 2

• Projects not currently in MDMS Charter

• Power Saver

• Dependency: Needs Solar Meter Read data from MDMS

• Prepaid Billing

• Dependency: Needs usage data for prepaid users from MDMS

• Smart Building (Customer Portal)

• Dependency: Needs USC and CC Daily Read data from MDMS

• Business Intelligence (BI) for Meter Reads

• Dependency: Needs Daily and Interval data for all meters from MDMS

• Demand Response Mgmt System (DRMS)

• Dependency: Needs Interval data from MDMS

11

MDMS: Project Dependencies

• Data Power Upgrade

• CC&B Storage Upgrade

• CC&B Dev Environment Availability

• CC&B Test Environment Availability

• Other dependencies too detailed to list

12

MDMS Project Lessons Learned

• Get input and support from Project stakeholders

• Set objectives clearly

• Minimize objectives change during the project

• Make sure vendors tasks are clear and concise

• Get full commitment to meet the objectives by the

target dates

• Provide Regular Project feedback to stakeholders

• Document the project every step of the way

13

Contact Us

Thank You!

Questions?

Reza Alaghehband, PE

Power System Consulting Engineer

Austin Energy

721 Barton Springs Rd.

Austin, Texas 78704-1194

Phone: 512-322-6378

Email: reza.alaghehband@austinenergy.com

14

D-Ops Trends: Technology Drivers

• Advanced sensor technology

• New technologies are maturing

(e.g., intelligent equipment, smart

meters, etc.)

• Significant activity in DA – to

operate the system more efficiently

& more reliably

• Short-term ROI expected from

technology deployment

• DMS are being deployed broadly -

Apps are evolving

• New paradigm in D-Ops driven by

operational benefits anticipated

©2014 Copyright. Confidential and Proprietary to The Structure Group, LLC. 15

D-Ops Trends: Smart Meters

• Pinging to verify outage extent and restoration success

• Create outages automatically before customers notice problems

• Accurate outage record information (i.e., on/off times)

• Potential use of smart meters: surgical load shedding

• Collect consumption for several practical uses (e.g., load profiles, TLM)

• Data will be used more widely beyond consumption information

16

Direct to OMS and/or DMS Manual methods going away

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D-Ops Trends: Use of MDM Data

• Smart meter data in Meter Data Management for

several uses: meter events, energy consumption, and

for use by DMS Apps

• Load profiles available for short-term forecasting

• Business Analytics activity on the rise (e.g., TLM)

• Most U.S. electric meters will be "smart“ • Figure is expected to grow to

significantly • Huge amounts of data would need to be

stored and managed 0 2 4

2000

2008

2012

Billions

Number of Data Elements Per Day

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Data Availability is Increasing AMI & Data Size

17

D-Ops Trends: Smart Meters in DMS Apps

• Conservation Voltage Reduction (CVR)

• Verify voltages are within operational limits

• Change equipment operational settings if violations are detected

• Load Allocation

• Use metered values to know actual load; no need to allocate load

• May not be feasible to use these values in real time - latency

(AMI)

• May be a combination of metered values & classical load

allocation techniques

• Load Flow

• Use the load as established by the Load Allocation function

• Analytics will not change due to smart meters

• Can be more accurate as the load values may be “true” values

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D-Ops Trends: Smart Meters in DMS Apps (2)

• State Estimation (SE) • Use meter readings as another measurement in the system

• System may become more “visible”

• Timing of the information may cause the metering information to

be not useful

• Feasible use of smart meters in DMS Apps • Surgical (targeted) load shedding – “selective” load shed

• Provide 24-hr load profiles (values stored in the MDM System)

• Power Quality monitoring (i.e., flickering)

• Current state / use • Used in CVR deployments as a verification tool

• Used for outage only at this time

19 ©2014 Copyright. Confidential and Proprietary to The Structure Group, LLC.

D-Ops Trends: AMI & MDM Integration

DMSOMS

Demand

Response

Demand Side

Management

Meter Data

Management

AMI

Meters

Markets

DSCADA

DMS Apps

IVVC

CIS

^ Ping Meter ^

v Meter Status v

v Voltages v

Control Device(s) >

< Status & Usage

Market Prices >

Control Device >

^ Control Device(s) ^

Customer Participation

v Voltage v

from Meters

Market Prices >

v Cust. Load v

Meter Reads >

< Cust-meter Info.

^ Planned Outages ^

v Load Profiles v

20 20 ©2014 Copyright. Confidential and Proprietary to The Structure Group, LLC.

Network Management Network Coloring, Device Operations, Temporary Devices,

Tagging, Security Analysis

Fault Location Fault Measurements, Short Circuit Analysis

Restoration Switching Analysis Fault Isolation, Service Restoration, Line Unloading

Estimated

Restoration Time Initial, Normal, Storm

Distribution Automation

Outage Management Trouble Call Analysis, AMI Analysis, Outage

Reporting

Crew

Management Dispatching, Crew

Call Out, Referral

Distribution SCADA

Coordinated Volt-VAR control

Damage

Assessment Storm Management

Load Management

Distribution State Estimator Load Allocation, Unbalanced Power Flow, Load Profiles, Short Term Load Forecast

Switch Order

Management Planned Outages

Meter Data Management Outage Reporting, Connect/Disconnect, Outage Extent, Fault Detection, TOU Rates, Measurements

Securi

ty

Im

pro

ved O

pera

tions

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21

DMS: Applications Layers

21

22

DMS Apps: Value & Effort Quadrant

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Low Value High Value

Low

Eff

ort

H

igh

Eff

ort

SOM

FL

VVO

SC

LF

FLISR