© 2005 San Diego Gas and Electric Company and Southern California Gas Company. All copyright and trademark rights reserved

Semantic Modeling at Sempra Utilities:

Creating a Common Information Foundation

EPRI CIM Workshop - September 8, 2010

David Gillespie – IT Program Manager

California

Southern CaliforniaGas Company

San Diego Gas & Electric

Sempra Energy Utilities

Southern California Gas Company - 6,600 Employees• 5.6 million natural gas meters• 23,000 square miles, from San Luis Obispo to the Mexican border and 535

cities.• USA’s largest natural gas distribution utility• Serving over 20 million consumers in 20,000 square mile service territory

San Diego Gas & Electric - 4,500 Employees

• 1.4 million electric meters & 800,000 natural gas meters• 4,100 square miles, covering two counties and 25 cities.• Serving 3.4 million consumers in San Diego region

Combined Utilities • Regulated by the California Public Utilities Commission

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Key Business Efforts

SDG&E Smart Metering program• Meter installations began Q4 2008• Mass deployment nearing completion

SCG AMI program • Approval granted, will touch 5M meters

Sunrise Power link 500 kV

OpEx 20/20 Initiative• Field Force M&I and Construction work• OMS/DMS/GIS, CBM, Asset Management

SmartGrid Initiatives• Gridcomm, HAN, Regulatory planning responses, …

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Enterprise Information Management Key Business Driver

Requirement to Share Information• Creating a shared structure and terminology involves an upfront

investment.• Simplify integration, increase interoperability and most importantly

expose the information the business manages.

Past

ProvisioningBilling

Inventory

CRM1

TT

CRM2

CallCenter

DataW/house Inventory TT

ProvisioningBillingCRM1 CRM2

CallCenter

DataW/house

Provision-ingBilling

Inventory

CRM1

TT

CRM2

CallCenter

Common Data Model

Current FutureNo one can figure outWho is talking to whom?

Great! You are using SOA but,Can we reuse this investment?

We know what investments we havemade in automating the business andwe know what we can reuse to buildfuture applications cheaper.

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Semantic Modeling Information Efforts: Background

Vision:Provide a common view of enterprise dataUnderstood by business as well as technical usersEnable a common vocabulary

Realities:Challenging to understand … needs to be “summarized”

Need business involvementNeed diverse IT involvementThe results must be easily understood

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Project Goals & Objectives

Goals:Create broad communication of Information Assets (Awareness)Facilitate discussions of what is being captured for validation (i.e. in-use and planned) (Understanding)Support different “views” of Sempra Information Model. (Management)

Objectives:Deliver a consistent enterprise approach for modeling & metadataDevelop a baseline integrated EIM solutionEnable the ability to exchange data in a consistent mannerLeverage external as well as internal standards6

Enables ownership, responsibility and accountability for the improvement of data quality and information accuracy and consistency

Establishes and promotes a single version of truth for data

over time.

Reduces the number and effort of integrations over time

Enables the control of unnecessary data duplication and

proliferation

Improves data quality, consistency, availability, and

accessibility over time.

Maximizes the return on investment in SOA technologies

Why is this important?

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Influencing factors in Information Standards

Results:• Evaluate and reference relevant

industry standards or open models:– IEC TC57 CIM– NRECA MultiSpeak– OGC GML– PODS– Open ADE (automated data exchange)

• Adopt Model-Driven principles and approach for information modeling, management and services. Look for references in MDA and SOA standards.

• Adopt semantic data modeling approach for enterprise information model development.

• Adopt a SOA reference model for data and information architecture and management.

OLEProcessControl(OPC)

WG14DMS

Coordination

WG19

WG13EMS

WGs 10Substations

OpenApplication

Group

WG7ControlCenters

TC57WG9

DistributionFeeders

EPRIUCA2ProjectEPRI

CCAPIProject

W3C

CIM/61850

ebXMLObjectMgmt.Group

WG17

WG16

WG18

OASIS

UCA : User groups

MultiSpeak(NRECA)

MultiSpeak(NRECA)

CIM

Industry standards, best practices, and frameworks were reviewed to evaluate their value and applicability.

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What is our approach?

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Subject areas are defined as: A related group of data “summarized” from the detailed Sempra Information Model (SIM). Development of subject areas are needed in order to quickly understand and manage the SIM.

What does the SIM contain? Defined as data passed around the

Enterprise.

Industry Standard Utility Modeled data.

What is the value of the SIM and Subject Areas?

Use common data exchanges in SOA payloads to reduce software development costs.

Quickly assess data/information scope of projects in order to facilitate reuse

Example Subject Area

Sempra Information Model (SIM)

Consumer Application

Consumer Application

Consumer Application

ProviderApplication

ProviderApplication

RICEF_I

Requiremen

ts

EMF

Subject Area Levels

Level 0 - These are the Enterprise Subject AreasUseful Overview for Management and Business UsersStarting point to understand the contents of each Subject Area

Level 1- This next level of detail is one specific Subject Area – Work. Represents main related subject areas and Entity Groups. This level is useful for deciding if you need the semantic models in the next level to design new applications and interfaces

Level 2 - Here you can see the Semantic Model for the Subject area as well as the Metadata Entity Definitions

There may be additional levels of detail below that can be displayed, for each attribute

Metadata Entity Definitions

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Major Information Subject Areas – Level 0

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Relationships – Level 1

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Subject Area Management / Governance

Enhance and maintain the subject area models and ensure that it is easily accessible by those that need the information.

Ensure that we are treating information as a shared business

assetCollaborate with the following groups to ensure the validity and integrity of its contents:

• Data Owners and Stewards• IT Data Architects• Data Warehouse• Business Process Owners• Others?

Have We Arrived?

No, but our Vision is much clearer…Our roadmap:

Support Data Governance initiative

Acquire Metadata tool to extend subject area portal

Develop Master data management for subject areas

Assess emerging information ‘standards’ affecting Smart Grid objectives

Enterprise Information Management Models evolves incrementally and iteratively. It’s a journey, rather than a destination.

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