Implementing the smart grid enterprise information integration
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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

By

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

SG

Greenhouse

Gases

Operational

Efficiency

Renewable

Resources

Aging

Infrastructure

OPERATIONS EXCELLENCE

ENVIRONMENT

Demand

Response

Aging

Workforce

SECURITY & QUALITY OF SUPPLY

Capacity

Supply

Reliability

Power

Quality


The smart grid of the future

The Smart Grid of The Future


Smart grid challenges

Smart Grid Challenges

Business

Roadmap uncertainties: regulatory and cost recovery

Risk averseness: impact on existing operations and practices

Changing customer and market expectations

Technology

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

Process

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

People

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

Reliability

Organizational Capabilities

Business Processes

Roles & Responsibilities - Skills

Technology

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

Examples:

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

Best

Practices


Example management of distributed demand side resources

Example: Management of Distributed & Demand Side Resources

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

Higher values are gained through enterprise level information and process integration


Smart grid technology implementation considerations

Smart Grid Technology Implementation Considerations

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

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

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

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

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:Summary

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

Users

Users

Users

Data Portal

Data Mart

Applications

Integration Infrastructure

Users

Users

Applications

Applications

Information Management Principles

Data Governance


Information management principles

Information Management Principles

Stewardship

(Chain-of-custody)

Content

(Quality)

Organization

(Definition)

Data

Access

(Readiness)

Presentation

(Presentation)

Integration


Apply best practices to it systems implementation steps

Apply Best Practices to IT Systems: Implementation Steps

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

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

Technology

Practical and Leveraged Solutions

Interoperability Standards

Data and applications

First Movers


Implementing the smart grid enterprise information integration

Thank You !

Contact Information:

[email protected]

[email protected]


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