Asset Management Analytics for a Sustainable Gridtsdos.org/2019/media/presentation2019/Aziz,...
Transcript of Asset Management Analytics for a Sustainable Gridtsdos.org/2019/media/presentation2019/Aziz,...
SEPTEMBER 4 - 6, 2019
Asset Management Analytics
for a Sustainable Grid
SEPTEMBER 4 - 6, 2019
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provided for informational purposes only and does not purport to be comprehensive. Neither CenterPoint Energy, Inc., together with its subsidiaries and affiliates (the “Company”), nor its employees or representatives, make any representation or warranty (express or implied) relating to this information. By reviewing this presentation, you agree that the Company will not have any liability related to this information or any omissions or misstatements contained herein. You are encouraged to perform your own independent evaluation and analysis.
SEPTEMBER 4 - 6, 2019
ABSTRACT
SUMMARY
O V E R V I E W &
Electr ic Substat ion re lated analyt ics are being used
in formulat ion of asset management strategies in
support of a sustainable power gr id. This
presentat ion focuses on present ing a methodology
around development of analyt ics for substat ion
assets inc luding transformers, c ircuit breakers and
protect ive re lay ing. I t d iscusses use of substat ion
analyt ics to assess system r isk associated with
e lectr ic assets based on condit ion and system
impact . I t descr ibes appl icat ion of substat ion
re lated analyt ics in developing long -term asset
management strategies encompassing asset
replacements, maintaining adequate levels of
Capital ized Emergency Mater ia ls (CEM) and best
maintenance strategies.
L E A R N M O R E
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A s s e t M a n a g e m e n t
A n a l y t i c s f o r a S u s t a i n a b l e G r i d
Electric power industry planned
replacements are carried out for several
types of substation assets including
transformers, breakers, switches etc.
Assets are identified and prioritized for
replacement based on risk of failure.
Annual capital budget dollars are then
allocated for targeted pro-active replacements.
Station assets are prioritized for replacement
based on analytics information using factors
such as vintage, diagnostic test results,
probability & impact of failure, O&M cost
and design etc.
Y O U R A B S T R A C T M E S S A G E
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THE ELEMENTS
A S S E T R E P L A C E M E N T S T R A T E G Y
O N E
Pro-active
T W O
Holistic
T H R E E
Condition Based
F O U R
Balanced
A mixture of elements formulate a
successful asset replacement strategy
“ N E A R R E A L T I M E ” A W A R E N E S S
• Asset Replacement Strategy
• Spare Assets Strategy
• Asset Maintenance Strategy
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Substation Analytics - Overview
6
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Protective Relays Schema - Typical
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• Relay Type
• Age
• Manufacturer
• Protection
scheme
PowerBase
SAP
• O&M Cost
• Maintenance
activity
EMS Web
• Relay failure
• Misoperation
s
• No of Trips
• MTBF
• Load
transferability
T-system one-
line
• Bus
configuration
• Voltage levels
• Station
ownership
Algorithms
Dashboard
s
• No. of customers
• Type of customers
• Electrical Load
(MW)
TLM
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Protective Relays
Condition Assessment using Analytics
• Age
• Mean Time Between
Failures
• Financials
• Misoperations
• Type & Obsolescence
• Station Impact
• Bus Configuration
• Protection Scheme
• No. of trips
Expert
Algorithms
Assessment
Parameters Condition
Assessment
Dashboards/ Reports
Impact Score = {(X% Station Impact ) + (Y% Protection Scheme) + (Z% Bus Configuration)}
Health Score = A% Sum of all Performance Indices + B% Age
Total Score = (C% Impact Score) + (D% Health Score)
Risk Index = Probability of failure x System Impact
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Probability of Failure Vs Age (Industry Recommended)
Electro-Mechanical
Microprocessor &
Solid State
Substation
transformer
Steel Towers
Circuit breakers &
Instrument
Transformers
SCADA
Telecom
Useful Lives
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Electro-Mechanical, 2587, 57%Solid State,
138, 3%
Microprocessor, 1852,
40%
Electro-Mechanical
Solid State
Microprocessor
57%:
Electromechanical
40%: Microprocessor3%: Solid State
Transmission & Distribution Protection System - Typical
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Electro-Mechanical,
701, 51%
Solid State, 68, 5%
Microprocessor, 613, 44%
Electro-MechanicalSolid State
Breaker, 299, 22%
Bus, 238, 17%
Capacitor Bank, 38,
3%
Reactor, 3, 0%
SVC, 4, 0%
Transformer -Auto, 55,
4%
Transmission Line, 725,
53%
Other, 20, 1%
Breaker
Bus
Capacitor Bank
Reactor
SVC
No. of Relay Groups: 1400
Transmission Protection System - Typical
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Electro-Mechanical, 1886, 59%
Solid State, 70, 2%
Microprocessor, 1239,
39%
Electro-Mechanical
Solid State
Microprocessor
Breaker, 27, 1%
Bus, 156, 5%
Capacitor Bank, 62,
2%
Distribution Feeder, 1682,
53%
Sectionalizing, 271, 8%
Transfomer -Power, 550,
17%
Under Frequency,
64, 2%
Other, 383, 12%
Breaker
Bus
Capacitor Bank
Distribution Feeder
Sectionalizing
Transfomer - Power
Under Frequency
Other
Distribution Protection System - Typical
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0
20
40
60
80
100
120
0 10 20 30 40 50 60 70 80
No
. of
Re
lay
Gro
up
s
Age of Relay Groups (Years)
Transmission Relay Groups - Age & Typet = 0
Electro-Mechanical
Solid State
Microprocessor
Electro-Mechanical useful life expectancySolid State and Microprocessor useful life expectancy
Transmission Protection System - TYPICAL
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0
50
100
150
200
250
0 10 20 30 40 50 60 70 80
No
. of
Re
lay
Gro
up
s
Age of Relay Groups (Years)
Distribution Relay Groups - Age & Typet = 0
Electro-Mechanical
Solid State
Microprocessor
Electro-Mechanical useful life expectancySolid State and Microprocessor useful life expectancy
Distribution Protection System - TYPICAL
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0
50
100
150
200
250
300
0 10 20 30 40 50 60 70 80
No
. of
Re
lay
Gro
up
s
Age of Relay Groups (Years)
Transmission & Distribution Relay Groups - Age & Typet = 0
Electro-Mechanical
Solid State
Microprocessor
Electro-Mechanical useful life expectancySolid State and Microprocessor useful life expectancy
Transmission & Distribution Protection System - TYPICAL
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Fleet Management
Plan
Failure Rates
Condition IndicesCapital and O&M
Budgets Technical Basis
Economics
Action
Effectiveness Metrics
Business Rules
Sample Cumulative Hazards
Internal Main Body Wearout Failures
Bayesian 95% Bounds
DS-12082008-12 Transformers
EPRI 2012-09-13
Transformer Age (years)
Cum
ulat
ive H
azar
d
0 10 20 30 40 50 60
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0%
5%
10%
15%
20%
25%
Prob
abilit
y of
Fai
lure
bef
ore
Give
n Ag
e
ALLALL
Wearout Failures
Asset Databases
ALC Programs
Risk Indices
CenterPoint Energy Proprietary and Confidential Information
ASSET MANAGEMENT ANALYTICS – Budget Development
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Simplified Analytics Landscape
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END-END INTEGRATION:
LOGICAL ARCHITECTURE
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DATA TRANSLATION:CONSUMABLE FORM
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CONCLUSION
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