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SMART Grid
Integration Through
Advance Analytic
Solutions

Conference on Transmission Distribution &
Metering India (Enabling Smart Grid Smart
Metering)


New Delhi

10
-
11 November 2010

Arindam Ghosh

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Smart Grid Vision

To digitize a largely passive network into a two
-
way,
interactive information highway to support metering and grid
monitoring and control, from demand management to “self
-
healing” circuits.


Grid intelligence (collecting and analyzing data about grid
activities and behaviors) and the ability to act in real
-
time
are the defining capabilities.


Smart Grid involves a large
-
scale investment in T&D
infrastructure aimed at enabling, and improving, advanced
metering, demand response, asset management, and
system reliability.

Source: EEI

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Uncertainties and obstacles


Little consensus on definition or direction


Lack of standards


Uncertain performance expectations,
benefits, and costs


Limited investment capacity


Uncertain regulatory treatment

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.




Network Operations
Optimization



Dispersed Generation and
Grid coordination



Renewable energy
Integration





Rapid Growth in Overall
Electricity Demand



Growing awareness for
Reliable and Quality
Electricity supply




Smart Grid Future Technology
-

the Driving Force

Drivers of SMART GRID

Demand

Technology






Increasing competition within
Industry due to deregulation
and restructuring




Pressure on DISCOMS to
increase energy efficiency and
be self sufficient


Regulatory





Theft and Fraud Detection



Demand Management and
Volatility adjustment



Meter based Billing rather than
estimated billing

Internal

Characteristics of SMART GRID

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Smart Grid Represents a Major Enterprise Transformation

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

The Impact Is Broad and Pervasive



Asset management


Meter to cash


Field service and maintenance

Leveraging opportunities

to gain operational efficiency




Customer service


Customer response

Leveraging opportunities

to gain operational efficiency



Network operations


Generation capacity and planning


Energy scheduling and dispatch

Enabling new capabilities for

advanced power management

• Meter reading expense

• Preventable field labor accidents

• Back
-
office operating cost

• Revenue growth

• Field customer service costs

• Non
-
collectible expense

• Customer service field labor

• Service order response time

• Forecast accuracy

• Net billing

• Line loss revenue

• Fuel cost avoidance

Smart Grid Business

Changes

Major Processes

Impacted

Benefit Categories

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

A Broader Approach Recognizes the Role and Importance of Data
as a Transformation Driver

Technology

• Interoperability

• Systems integration Process

• Architecture

Process

• Re
-
engineering

• Process optimization

• Quality and productivity

Organization

• Workforce rationalization

• Skill development

• Resource progression







Decision support


Data


• Optimized operation





• Automation


There is tremendous value potential in
identifying ways in which data can
transform the business.


Data can be the source of new value as
well as being the “multiplier effect” to
leverage additional value from existing
investments.

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Data Becomes a Key to Driving Value

New and Additional Data

• Interval consumption

• Interval demand

• Meter status/error reporting

• Event completion notification

• Condition alert (i.e. tampering)

• Grid node status

• Distributed generation data

• Feeder status/monitoring data

• Power quality incidents

• T&D line loss

• Grid voltage stability

Optimizing the benefits of Smart Grid requires a data
-
driven transformation in addition to technology and process

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Meter Data Management Managing a Complex Environment

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Meter Data Management (MDM)



Why it is critical for Smart Grid


New meter technologies capture significantly more data. Utilities need a central
repository for this data.


MDM is the foundation on which many AMI and Smart Grid programs will be built,
both as a technical prerequisite and as a foundation for improved business value.


While meter data was once viewed as simply an input to the billing process, its
strategic business value has grown considerably.


It provides the data required for regulatory reporting compliance as well as key
business metrics.


MDM is a central component to enabling and managing security and information
protection

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Some key data management considerations



• Data Volume & Management


• Data Collection & Collation


• Legal Consultation and Privacy Concerns


• Incident and Breach Management Planning


• Leverage Data Audits and Reviews

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

The Architecture of Smart Grid Creates a Paradigm Shift in the
Role of Data

Bidirectional, real
-
time

communications

Consolidated & Integrated

Applications

Time sensitivity in

milliseconds

At Present

Future

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

How to Extract Value from Data

Example


Distribution Management

Network Operation and
Maintenance

Schedule and Dispatch

Energy Management

Network Planning

Grid operations have historically been limited by unidirectional communication devices and a high degree of
manual involvement. Outage management is typically a reactive process based on trouble calls. A “Smart”
grid with numerous data collection and control points will provide the data to enable advanced distribution
and power management capabilities.

1. Identify
Available Data

2. Assess
Potential Value

3. Develop the
Transformation

• Condition
-
based monitoring

• Feeder segmentation

• Distributed generation

• Plug
-
in electric vehicle (PHEV)

• Demand
-
side demand response

• Home area network

• Grid voltage

• Enable “self
-
healing” and increase distribution
management automation

• Grid can proactively identify potential failure points
and react to prevent outage

• Reduce outage rate of occurrence and impact

• Make outage management more proactive vs.
reactive

• Increase grid management

“intelligence”

• Automate sensors and control nodes to react to specific
events

• Program outage alarms and notifications to automatically
initiate repair crew work orders and customer communication

• Establish a distribution management system to operate grid

• Assess potential redundancies with other systems (i.e. Outage
Management System (OMS)

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Data Analytics
-

Life Cycle for a Power Distribution Utility




Abnormal
consumption report



Areas of High Loss
Report



Consumption
trends Report


Business Analytics

Key Concentration Areas

Intelligent Solutions

MIS and Reporting



Data Point
Optimization


Demand Analysis


Market Insights


Dashboards






Customer Data
Analytics


Load Data Analytics


Billing Data Analytics


Vendor Data
Management


Business
Drivers to
Achieve
MDMS


Grid Optimization


Demand
Management
Revenue Protection


Outage
Management


Business
Benefits
after MDMS

Metered Data Management System

MDMS

Roadmap to MDMS

Roadmap after MDMS

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Advantages of Advance Analytics

14

“Customer Information
and Energy Use”


Automation / effort reduction


Restoration improvements


Revenue protection


Some demand reduction

“Strategic Consumer
Integration and
Empowerment”


Consumer engagement


Energy efficiency


Incremental revenue

Focus:


Infrastructure and meter install


Customer interaction


Usage and outage analytics


Meter to cash process
connectivity


Governance

Focus:


Network and asset management


Advanced workflow


Real
-
time data management and
analytics


Operating model integration

Focus:


Enhanced Business model


Customer strategy and
behaviors


Third party relationships


Innovation and collaboration at
speed


“Grid Optimization “


Asset life optimization


System operational efficiency


Improved reliability


Predictive maintenance

Beyond the
Meter

Change:


Change:


Change:


© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Analytics Solution
-

Illustrative

_

+

Performance

Sub
-
Metering

Outage
Management

Active Load
Control

Revenue
Protection

Real time
Decision
Making



Load Profile




Market profile




Customer profile




Tariff profiling




Theft Detection




Peak clipping




Load shifting




Scheduling & Settlement






Demand Optimization




Price & Load Modeling




Load Forecasting




Integrated Voltage /VAR Control




Usage Analysis




Distribution Planning & Analysis


Grid Optimization

Strategic Consumer Integration
and Empowerment

Customer Information and Energy Use

Solutions



Abnormal consumption report




Areas of High Loss Report




Consumption trends Report



© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Risk Analytics Solution
-

Illustrative

_

+

Performance



Last
-
Gasp, Power
-
Up Messages,




Demand violations




Abnormal power


factors




Transformer & cable
load and equipment load


analysis




Peak and Valley
Analysis







Baselines and Outlier Analysis




Identifying tampered meters


or zero readings




Customers who are billed but


never pay




Customers billed on average
or minimum




Customers with same name
and address




Same customer number with


different names and addresses




Customers with no name and


address

Solutions

Alarm and
Notifications


Transformer &
cable load and
equipment load
analysis


Usage and
Scenario Analysis

Rate Analysis &
Load Factor
Analysis



Advanced switching


Modeling




Applications Utility


Modeling




Flexible Load building


Modeling




Reliability area
footprint modeling




Demand supply /
demand response
Modeling




Energy mix Analysis




Forecasting & Energy


Procurement



Energy

Accounting



Carbon footprint


Analysis




Energy Balance


Report


© 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated
with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

MIS and Reporting Solution
-

Illustrative


Continuous Monitoring and Vigilance Dashboard



Near real time energy accounting


Data Reconciliation Monitoring


Area / Office wise monitoring


Watching High Value Customers for fraud

Thank You

Presentation by
Arindam Ghosh

Associate Director


Advisory


KPMG

DLF Corporate Park

DLF City, Phase III

Gurgaon 122002, India

Mobile: +91 9650666868

Email: arindamghosh@kpmg.com

© 2010 KPMG, an Indian Partnership and a member firm of the KPMG
network of independent member firms affiliated with KPMG International
Cooperative (“KPMG International”), a Swiss entity. All rights reserved.



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