an innovative solution to jeremy wright monitoring 'medium · 2017-08-04 · jeremy wright uk...

Jeremy WrightUK Power Networks

Gareth DevineEA Technology Ltd

An innovative solution to

monitoring 'Medium

Voltage' Joints

2011. UK Power Networks. All rights reserved

Challenge


Project Inception

Aim : “Create a cost-effective device for pre-fault detection of MV joint failure”

UK Power Networks

Asset Management & Innovation

Network Knowledge

NIA FundingEA

Technology

R&D Support

PD Knowledge


Research – Forensic Output


Research – MV Joint Construction


Research – Laboratory Samples


Research – Sensor Design

UHF

Capacitive

Ultrasonic

RFCT


Alpha Trials

• Based on laboratory results Radio

Frequency Current Transformer (RFCT) &

Transient Earth Voltage (TEV) Technology

Selected.

• Reduced time to field trial by using

existing EA Technology UltraTEV Plus2

• Configured to periodically record Partial

Discharge waveforms

• Installed at 10 Central London substations

with UK Power Networks assistance


Data Analysis

Signal Acquisition Alarm Output

4800 GB per day

(continuous)

2 bits8.2 MB per day

Trigger Noise Removal

4 MB per day

Equivalent to

960,000 MP3s


Data Analysis

–Collected 44 GB, 48,000 Files - only 8,800 MP3s


Data Analysis


First Success

Network Re-configured

Joint Replacement

UK Power Networks Notified

7 days


The Hatching of the Canary

Aim :

“Create a cost-effective device for pre-fault detection of a medium voltage joint

failure”


Specification Canary

SCADA


Next Steps

- Installation of 30 'canaries' across London sites based on risk rating

- Explore potential to use within cable tunnels

- Expand canary concept across other assets such as switchgear

and transformers

- Assessment of all sites across UK Power Networks that contain a

joint for potential deployment


Get Involved –

Meet the Team on stand C15 - C16

Maxi FaridiInnovation Engineer, UK Power Networks

[email protected]

Dawn O’BrienPrincipal Consultant, EA Technology

dawn.o’[email protected]

Underground HV Cable Research-

Health Index for HV solid cables


Agenda

• Background

• The Challenge

• Development of HV Underground Cable Prioritisation Model

• Methodology

• The Benefits and BaU implementation

• Q&A


Background• Underground cables offer improved security of supply compared with

overhead lines.

• Hence they represent a large part of asset base both in quantity and

economic value.

• UK Power Networks operate more then 44,000 km of high voltage

underground solid cables.

0%

20%

40%

60%

80%

100%

EPN SPN LPN

UK Power Networks population of HV Underground cables vs Overhead lines

HV Underground Cables (km)

HV Overhead Lines (km)


The Challenge

• Majority installed in 1960’s & 70’s in the UK

• A large portion of UG cables are nearing the end of their life

• Increase in trend of HV cable failures due to deterioration

• Replacements needed to maintain network reliability

• Wide-scale cable replacement is significantly expensive

Need for investment optimisation method to maintain network reliability in a more cost efficient way


Solution: HV Underground Cable Prioritisation Model

NIA Project Info:

Start Date: Sep 2015

End Date: Mar 2017

Funding: £932,477

Objectives:

• Rank cable circuits according to their failure risk

• Understand HV solid cable deterioration mechanisms

• Develop a pro-active approach for cable replacement

• Quantify consequences of failure

• Optimise our investment strategy

• Improve network reliability by reducing number of faults

Project Partners:


Project Stages

Phase 1: • Identify causes of failure and cable degradation process

• Collection of cable samples following a condition driven

fault for forensic analysis to understand the failure

mechanism

• Develop an improved cable database to store all analysed

results


Project Stages(2)

Phase 2: • Identify contributing factors of cable degradation

• Identify sources of HV cable data for inclusion into degradation model

• Collation of asset data from database for analysis

Phase 3: • Design and build HV underground cable prioritisation model

Phase 4: • Implement the model into business as usual


Causes of cable failure

39%

32%

26%

3%

% of samples

Partial Discharge

Sheath deterioration/corrosion

Ageing/wear

Moisture ingress


Cable Sampling

• Cable Analysis ID

• Details ID

• Date Analysed

• Cable Type

• Cable Visual Inspection (Outer & Inner Sheath / Armour / Lead Sheath / Metallic Screen / Conductor)

• Insulation (Waxing / Pin Holes / Creasing / Discoloration / Screen Interface / Manufacturing Defect / Carbon Deposits / Embrittlement / Water Tree / Electrical Tree / General Condition / Moisture Content / Tensile Strength / Crackle Test / Polymerisation Test / Elongation - median)

• Comments (Failure Mode / Comments)

• Post-Collection Images (up to 12 images)

• Summary (Health Index / Estimate Remaining Life / Recommendation)


Cable Data

• Definition data from

GIS system

• Fault data

• Feeder data

Ellipse

PowerOn Netmap


Partial Discharge


Health Index Model

CNAIM EHV Cables

Health Index

Initial Health Score

Age

Expected Life

Environment

Normal Expected Life

Loading

Health Score Modifier

Observed Condition

Forensic Analysis

Measured Condition

Partial Discharge

Fault Rate

Sheath Test

Reliability


Health Index Model

UK Power Networks HV Cables

Health Index

Initial Health Score

Age

Expected Life

Environment

Normal Expected Life

Loading

Health Score Modifier

Observed Condition

Forensic Analysis

Measured Condition

Partial Discharge

Fault Rate

Sheath Test

Reliability


Health Index Model

UK Power Networks HV Cables

Criticality Index

Network Performance Consequence

No. of customers

Sensitive Customers

Safety ConsequenceLocation

Financial ConsequenceCable Type


Outputs

Health/Criticality

HI1 HI2 HI3 HI4 HI5

CI1 2,146 3,745 4,331 998 274

CI2 4,656 5,521 5,998 1,342 347

CI3 2,244 3,381 1,594 1,166 442

CI4 1,976 1,071 2,994 240 0


Solution: HV Underground Cable Prioritisation Model

Fault repair

HV cable fault

Close incident

Existing Approach

Identify high risk cables using HI tool

Close incident

Online field testing/ fault locations

Monitor to enable “just in time”

response

Preventive action taken

Pro-active Approach


The Benefits

• Cable replacements are optimised with respect to cost and

financial performance

• Improved security of supply and reliability of the network by

knowing the condition of our UG cables better

• Reducing the number of customer interruptions

• Optimising our investment strategy replacing cables efficiently

• Best practice operational performance and optimisation


BaU Implementation:


To find out more- come and see us

an innovative solution to jeremy wright monitoring 'medium · 2017-08-04 · jeremy wright uk...

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