Revenue Protection & Distribution System Analytics - Using ... · SAP BODS SLT (Real-Time) Reading...
Transcript of Revenue Protection & Distribution System Analytics - Using ... · SAP BODS SLT (Real-Time) Reading...
Revenue Protection & Distribution System
Analytics - Using in memory computing &
big data analytics
Sanjeev Kumar Singh Sr. Consultant | Utilities Solutions | Mahindra Satyam |
Contact | (M) +91 8106720202 | (O) +91 40 6737 4972 | Fax +91 40 4022 4122 |
Email | [email protected] |
Global Center of Excellence | Utilities |
6 decades of value
creation
Revenue :
USD 15.6 billion
Associate base:
~1,45,000
Amongst the most
respected Indian
companies – Forbes
Automotive Farm Equipment Trade, Retail & Logistics
Infrastructure Development Information Technology After Market
Financial Services Systech Specialty Business
About Mahindra Group
Czech Republic
Hungary
Switzerland
Finland
New
Zealand
Brazil
South
Africa
Canada
United States
of America
Denmark
Sweden
Belgium
Italy Spain
France
Netherlands
Germany
UK Ireland
Qatar
India
Bahrain
Saudi Arabia
Jordan
UAE Egypt
Australia
Singapore Malaysia
China Japan Korea
Thailand
Taiwan
Americas Europe Asia Pacific
MEA & India
Hong
Kong
Mahindra Satyam - Global Presence 35,000+ Associates
>90% engineers and business graduates
60+ nationalities
28 years average age
95% Local Associates in Eastern Europe, China & Africa
• Strong presence in GCC, Levant and African countries since 1999
• Fastest growing region for Mahindra Satyam globally
• Over 140 full lifecycle implementations
• 450+ associates in Middle East + 300 supporting from offshore centers
• Highly matured processes across business consulting, ERP
implementations, Infrastructure management services, software
development and support
• Extensive Investments :
• Presence to be close to Customer [UAE, Qatar, Kuwait, Oman ,
Bahrain and Saudi Arabia]
• Set up of Full fledged Operations in Johannesburg to cater to
South African Operations
• Near Shore Development Center in Egypt
Mahindra Satyam Middle East & Africa
African Story – Since 2004
Matured practice with 10+ years of experience; focused on end-to-end solutions for Utilities
Served 55 + Customers spread across
globe
Focused on end-to-end Solutions for
Utilities
A decade of experience in EAM, BI and
ERP
Utility Business Application – CRM/CIS,
CC&B ,MDM , AMI , Mobility solution –
Handhelds
Smart Grid components – design &
integration – AMI , DR , Microgrid ,
Energy Optimization application ,
Automation
Have worked with 25 of the 50 largest
electric utilities and 23 of the largest 50
gas utilities in North America
Our group owns a water utility by name “
Mahindra Water Utilities”-
http://www.mahindra.com/What-We-
Do/Consulting-
Services/Companies/Mahindra-Water-
Utilities
Practice Highlights Key Value Preposition
•Thorough knowledge of Utility Economics and business planning process, including regulatory treatment, that are required to develop a profitable strategy and business case for investment
Financial
•Deep understanding of the implications of integrating new technologies with existing T & D infrastructure, including Smart Meter / AMI, Distribution and Substation Automation, Outage Management, Distributed Generation and Distribution Management
Technical
•Long Term experience helping Utilities deal with broader critical issues that they face, including Asset Management, Regulatory Policy, Reliability and Safety, Vendor Selection and Supply chain Management
Operational
•A History of Innovation and thought leadership in the industry through active participation in leading organizations such as Grid -Wise Alliance, Working Committee, NRDC & others. Our Consultants have worked with over half of the top 50 electric utilities in North America.
Industry Leadership
Utilities Practice Highlights
Utilities have to manage huge amount of data
Huge
amount of
Data
Customer interactivity
Electrical
Infrastructure
Information
Infrastructure
Analytics will unleash the business value from that information. Utilities will be able to develop situational
awareness and also plan operations more effectively.
‘Big Data’ sources are many, both from the new and
existing utility infrastructure
To have real-time access to utility databases
Able to read all data fields in all systems (but not modify them)
To check all equipments (meters, transformers, generators, etc.)
All losses and imbalances are to be tracked in real-time
Decisions are based on cost, staff availability, and pre-set performance
targets
System to automatically order equipment needed for future work and
monitor equipment inventory
In real time to monitor all network operations
System need to automatically schedule field work if equipment (or
customers) behave unexpectedly
Why do Utilities need analytics?
In-Memory Platform
Real-Time Analytics
Content/Applications
Accelerated BI
Benefits of Using SAP HANA for M2M Analytics
Speed and power of in-memory processing
Seamless Integration to M2M Devices using
Communication gateway
Less Database Space compared to traditional
Database
Open, agnostic architecture
Real-time insight into
Business operations without the delay
Huge volumes of detailed information
360 degree Deep-dive of M2M generated
machine data
Real Time Analytics using SAP HANA
2 million Records in 0.937 seconds 1000 times of transformation from 10 Min
Data Management
(ETL: Extraction,
Transformation
and Loading) Business
Intelligence
Solutions
(Dashboards,
Portfolio
Analysis)
Pricing
strategies
Demand
Management
Assets
Management
Outage
Management
Revenue
Protection
Data visibility
and
Understanding
the right
problem
Balancing &
Settlement
Predictive Models
(Demand Response
Model, Energy Load
control Model)
Customer
Analytics
(Segmentation
and profiling)
Business
Challenges
Analytics
Challenges we can solve…
Monitoring Devices / Evidence Collection
Managing the field inspections and Documents
Dash Boards / KPIs / Reporting
Regulatory & Statutory
Compliances Legal
framework
Case Manage
ment
Dat
a R
ep
osi
tory
, Me
ter
Dat
a, S
ite
Ph
oto
s, V
ide
os,
In
spe
ctio
n D
ocu
me
nts
Correlated Loss Analysis
Profile Administration & Balancing
Virtual Group Behavior Analysis
Distribution Operations Monitoring
Analytics for Revenue Protection and
Operational Excellence
Creating and updating the reference points
Solution Frame Work for Utilities Analytics
By
Pass
CT PT
Meter
Primary (MV)side Metering
Monitoring
device
Systems Details
Distribution
Feeder (MV)
Customers
Primary
Substation
Distribution Transformer
Power network parameters like
Power, Energy, Voltage, Current,
Power factor, etc.
Communication
Middleware
SAP HANA Energy Meters
Solution Architecture
GPRS
Reading & Billing
Customer
Information system
Electrical N/w
Management
System
Customer
representative
Profile
DataBase
Utility Aps & DB
Broker Client
SAP BODS SLT (Real-Time)
Reading & Billing
Customer
Information
system
Electrical N/w
Management
System
Customer
representative Profile
For N
on
SAP
Cu
stom
er
SLT (Real-Time)
SAP ECC IS -UTILITY
DT
DT
SM
SM
IDT
SAP BO Reporting
Tools (Webi, Explorer,
Dashboard)
Communica
tion Middle
ware
Integration
queue
Important use Cases
Loss Diagnostic Studies – Profiling & Estimation
Loss Diagnostic Studies – Statistical Analysis
y = 0.0714x + 13.191 R² = 0.9662
0
5
10
15
20
25
30
35
40
45
0 100 200 300 400 500
Axi
s Ti
tle
Axis Title
Typical Theft Profile
Typical Theft Profile
Linear (Typical TheftProfile)
0
50
100
150
200
250
300
350
400
450
1 4 7 10131619222528313437404346
Axi
s Ti
tle
Axis Title
Chart Title
Delivered Units
Typical Theft Profile
Z= 95% confidence level = 1.96
S= Standard Deviation = 1099
E= Error tolerance = 0.5
Asset Management - Load Monitoring
Load duration curves can tell us
about the peak loading & duration
of overloading
Suppose, this is 100%
rating
Peak load
This is the duration of
overloading
Asset Management - Phase Unbalance Studies
Asset Management - Reactive Demand Profiling & Studies
Base & switched capacitor requirement Should be taken from the profile Curve
This can be linked to upstream voltage conditions
Customer Analytics
Customer Analytics
Application Video
Zero down Commercial Losses
Optimized Technical Losses
Enhanced Asset Life at least by 20 % - 30 %
Reduced expenses on maintenance – Reduction of around 20- 30 % possible
Comprehensive information system helps in network planning and ensure the reduced investment on electrical Power network
Verification tools for demand Response
Security and Safety of general public
Ensures proper billing & Settlement
Benefits for Utilities
Mahindrasatyam.com
Safe Harbor
This document contains forward-looking statements within the meaning of section 27A of Securities Act of 1933, as amended, and
section 21E of the Securities Exchange Act of 1934, as amended. The forward-looking statements contained herein are subject to
certain risks and uncertainties that could cause actual results to differ materially from those reflected in the forward-looking
statements. Satyam undertakes no duty to update any forward-looking statements. For a discussion of the risks associated with our
business, please see the discussions under the heading “Risk Factors” in our report on Form 6-K concerning the quarter ended
September 30, 2008, furnished to the Securities and Exchange Commission on 07 November, 2008, and the other reports filed with
the Securities and Exchange Commission from time to time. These filings are available at http://www.sec.gov
Thank you