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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


Uncertainties and obstacles

• Little consensus on definition or direction

• Lack of standards

• Uncertain performance expectations,

benefits, and costs

• Limited investment capacity

• Uncertain regulatory treatment


Protection

Automation Coordination

• 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

Smart Grid Prediction

Adjustment

Optimizatio

n


Smart Grid Represents a Major Enterprise Transformation


The Impact Is Broad and Pervasive

• Meter reading expense

• Preventable field labor accidents

• Back-office operating cost

• Revenue growth

• 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

• 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

• Forecast accuracy

• Net billing

• Line loss revenue

• Fuel cost avoidance

Smart Grid Business Changes

Major Processes Impacted

Benefit Categories


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

Process

• Re-engineering

• Process optimization

• Quality and productivity

Organization

• Workforce rationalization

• Skill development

• Resource progression

• Decision support Data Data • Optimized operation • Automation

• There is tremendous There is tremendous

value potential in value potential in

identifying ways in identifying ways in

which data can which data can

transform the business.transform the business.

• Data can be the source Data can be the source

of new value as well as of new value as well as

being the “multiplier being the “multiplier

effect” to leverage effect” to leverage

additional value from additional value from

existing investments.existing investments.


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


Meter Data Management Managing a Complex Environment


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


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


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

Bidirectional, real-timecommunications

Consolidated & IntegratedApplications

Time sensitivity inmilliseconds

At Present Future


How to Extract Value from DataExample – Distribution Management

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.

• 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)


Data Analytics - Life Cycle for a Power Distribution Utility

• Abnormal consumption report

• Areas of High Loss Report

• Consumption trends Report

Bu

sin

ess

An

alyt

ics

Key

Co

nc

entr

atio

n A

rea

sIn

tellig

ent S

olu

tion

sM

IS an

d R

epo

rting

• 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


Advantages of Advance Analytics

15

“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:


Analytics Solution - Illustrative

_

+

Per

form

ance

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

So

luti

on

s

Abnormal consumption report

Areas of High Loss Report

Consumption trends Report


Risk Analytics Solution - Illustrative

_

+

Per

form

ance

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

So

luti

on

s

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


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: [email protected]

© 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 KPMG name, logo and "cutting through complexity" are registeredtrademarks or trademarks of KPMG International Cooperative ("KPMGInternational").