Asset Management Analytics for a Sustainable Gridtsdos.org/2019/media/presentation2019/Aziz,...

SEPTEMBER 4 - 6, 2019

Asset Management Analytics

for a Sustainable Grid


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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.


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


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


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


Substation Analytics - Overview

6


Protective Relays Schema - Typical

7

• 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


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

8


Probability of Failure Vs Age (Industry Recommended)

Electro-Mechanical

Microprocessor &

Solid State

Substation

transformer

Steel Towers

Circuit breakers &

Instrument

Transformers

SCADA

Telecom

Useful Lives


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


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


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


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


0

50

100

150

200

250

0 10 20 30 40 50 60 70 80

No

. of

Re

lay

Gro

up

s


Distribution Relay Groups - Age & Typet = 0

Electro-Mechanical

Solid State

Microprocessor


Distribution Protection System - TYPICAL


0

50

100

150

200

250

300

0 10 20 30 40 50 60 70 80

No

. of

Re

lay

Gro

up

s


Transmission & Distribution Relay Groups - Age & Typet = 0

Electro-Mechanical

Solid State

Microprocessor


Transmission & Distribution Protection System - TYPICAL


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


Simplified Analytics Landscape


END-END INTEGRATION:

LOGICAL ARCHITECTURE


DATA TRANSLATION:CONSUMABLE FORM


CONCLUSION

Asset Management Analytics for a Sustainable Gridtsdos.org/2019/media/presentation2019/Aziz,...

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