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Implementing the Smart Grid:  Enterprise Information Integration. Presented at Grid Interop Forum Albuquerque, NM November 9, 2007 By Ali Ipakchi, VP, Integration Services ML Chan, Sr. Principal Consultant KEMA, Inc. Smart Grid Business Drivers An emerging new Business Environment.

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Implementing the smart grid enterprise information integration

Implementing the Smart Grid:  Enterprise Information Integration

Presented at

Grid Interop Forum

Albuquerque, NM

November 9, 2007


Ali Ipakchi, VP, Integration Services

ML Chan, Sr. Principal Consultant

KEMA, Inc.

Smart grid business drivers an emerging new business environment
Smart Grid Business Drivers An emerging new Business Environment






















Smart grid challenges
Smart Grid Challenges


Roadmap uncertainties: regulatory and cost recovery

Risk averseness: impact on existing operations and practices

Changing customer and market expectations


Complexity of the just-in-time power delivery operations

Potential scope of impact

Limited industry supported standards for the technology and its inter-operability

IEEE, ANSI and other regional and utility standards: Network Design, Interconnections, and operations

IEC TC57: IEC61850 for SA, IEC61968 for DMS – IEC61970 for EMS – CIM and its extensions

Sluggishness of the established vendor community and the potential risks of emerging and smaller suppliers


Traditional organizational roles and responsibilities and business practices limit the required innovations


Multi-disciplinary nature of required changes

Aging workforce and limited availability of in-house expertise

Smart grid building blocks
Smart Grid Building Blocks

Regulatory & Market Incentives

Environment – Conservation


Organizational Capabilities

Business Processes

Roles & Responsibilities - Skills


Supply Side

Distributed & Demand-Side Resources

Interconnections and Micro-Grids

Power Delivery

Network Design

Protection and Control Strategies

Asset Management & Utilization

Information Technologies

Data Communications

Data Management

Enterprise Level Integration and Inter-operability

Intelligent Applications

Smart grid requires an end to end operational view
Smart Grid Requires an End-to-End Operational View

Individual technologies and enablers are critical components

E.g., high-bandwidth, secure, and two-way communications infrastructure

However, real benefits are achieved when considering the end-to-end impact and integration

Smart grid also requires a holistic view of the business
Smart Grid Also Requires A Holistic View Of The Business

Changes touch many parts of the organization

Decisions require collaboration between business units

High values are gained through projects crossing organizational Boundaries

Requires a resistance to the lure of easier short-term solutions made with a “silo” mentality


Advanced Metering

Customer Services (metering) – System Operations (DSM and Distribution Automation)

Outage Management

Customer Service & System Operations, Enterprise systems

Asset Management – System Ops

People: Organizations, Responsibilities, Skills

Process: Roles, Information & Work Flow

Technology: Information, Automation

Example improved reliability through oms dms ami integration
Example: Improved Reliability Through OMS/DMS/AMI Integration

Integrating Outage Management with GIS, SCADA, AMI and Mobile Workforce Automation

Last gasp and outage verification from meters

Network Connectivity from GIS

Integration with SCADA/DMS remote switching

Mobile workforce dispatch and communications

Significant Improvements in SAIDI

Timely and Accurate Data to Customers

US Averages

US Best Practices

EU Averages



Example management of distributed demand side resources
Example: Management of Distributed & Demand Side Resources Integration

Large penetration levels require significant data management

Aggregation, scheduling, market operations, billing and settlements

Distribution voltage and power quality management, distribution automation

Islanding and micro-grid operations

Electrical Network need to be supported by an Information Network

Project and technology synergies need to be fully explored and exploited

Coordinated Voltage VAr Control

Example asset management condition based maintenance and inspection
Example: Asset Management - Condition Based Maintenance and Inspection

Equipment Life Extension, System Capacity Expansion

Equipment performance and failure probabilistic model

Improve O&M efficiencies - Improve maintenance processes

Reduce number of “catastrophic” failures

A utility of the future vision
A Utility of the Future Vision Inspection

Higher values are gained through enterprise level information and process integration

Smart grid technology implementation considerations
Smart Grid Technology Implementation Considerations Inspection

An end-to-end and holistic view is required

Data integration and data management is a key requirement

Utility enterprise information management
Utility Enterprise Information Management Inspection

Identify the Enterprise Data Assets

Establish System of Records

Version of Truth – Master Data

Define Enterprise Data Management Disciplines

Data Stewardship, Data Organization, Content Management, Data Access

Data Ownership, Data Modeling Standards, Data Maintenance

Data Marts and Data Federation

Enterprise information integration
Enterprise Information Integration Inspection

Integration of messages, events & notifications – Message Service Bus

Real-time, queuing and guaranteed delivery

Integration of Operational and Business Data

Published Data Schemas, Data Access, Data Federation and Data Marts

Service Oriented Integration Strategies

Functionality and flexibility needed to support utility operations and business

A case study
A Case Study Inspection

Utility Vision

To make the diverse T&D operational data available to the users across company end-users and functional areas:

Where and when needed;

Right person gets the right data;

In a form that is most useful to the users; and

While ensuring high levels of data quality.

Correlate operational data and knowledge into meaningful information about the overall health of power systems

Coverage of Scope

People: Regions, Asset Management, System Operations, Technical Services, Engineering, Constructions, Operations

Process: T&D Business Life Cycle

Technology: Operational Systems, Applications, and Data

Current state assessment observations
Current State Assessment: Observations Inspection

Improvement areas

Many systems but separate and un-integrated database

Lack of company-wide guidelines for data management

Unclear data ownership and custodianship

A need for defining a single authoritative source for each data group

No common definitions, formats, and units of measure for master data

A need for performance indices to measure, monitor, and manage data quality and data services

Lack of the concept “utilizing data” and therefore insufficient quality control on data input

Can further improve Operational Efficiency, Effectiveness, Reliability and Safety

Current state assessment summary
Current State Assessment: InspectionSummary

The utility puts significant effort to collect operational data.

The data can be further utilized to speed up operational decisions

The following two aspects are critical to developing high-value operational intelligence applications:

Data quality

Information integration infrastructure

The utility should:

Improve data quality by establishing enterprise data management policy

Set up enterprise architecture framework to minimize the development and operating costs

Implement Smart Grid applications to reap benefits

Enterprise architectural framework
Enterprise Architectural Framework Inspection




Data Portal

Data Mart


Integration Infrastructure





Information Management Principles

Data Governance

Information management principles
Information Management Principles Inspection













Apply best practices to it systems implementation steps
Apply Best Practices to IT Systems: Implementation Steps Inspection

Identify the utility’s key Data Assets

Apply Information Management Principles – Data “Quality” Program

Define Data Stewardship - Governance

Formalize Data Organization – Operational Data Modeling & Mgmt Standards

Implement Data Content Management – SLA

Establish a Reference Architecture for Enterprise-wide Data Access

Data Access and Integration Framework - Data Mart Concept

Data Transformation and Presentment – Data Portal Concept

Implement Key System Capabilities to Close High-Value Gaps

Operational Data Warehouse – DMS and Field Data

Operational Data Portal

Utilize the Capabilities to Improve Operational Efficiencies

Condition-based Inspection and Maintenance

Intelligent Outage Restoration System

Advanced project planning, design and commissioning

Roadmap to smart grid utility of the future
Roadmap to Smart Grid / Utility of the Future Inspection

Strategic Planning

Phased Implementation Approach

Transformation from a “Silo-Based” Business

Business Case Analysis

Business Supported and Business Driven Initiatives

Project Synergies

Enabling and Foundational Capabilities

Organizational – People


Practical and Leveraged Solutions

Interoperability Standards

Data and applications

First Movers

Implementing the smart grid enterprise information integration

Thank You ! Inspection

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