GIS Integrated Analytics for Preventive Maintenance and
Storm Response Presenter:
John Lauletta, CEO/CTO
Based in Columbus, OH
US Strategic Partners:
Int’l Alliance Partners
– Australia, Mexico, Canada
2 US Patents, 7 Int’l Patents
2 million+ Poles Surveyed
3rd Party Validation
– U.S. Dept. of Energy (DOE)
– Nat’l Elec. Testing Lab (NETL)
– The Ohio State University
Exacter, Inc. Provides: Grid Condition Assessment for Improved System Resiliency and Reliability
Initial Research 2004 to 2006 Advanced Research Coninues
Research Facilities The Ohio State University High Voltage Laboratory
Test Fixtures
Two views of the test setup
Surge Arrester Being Studied
Lab Workstation
EXACTER® Sensor
Research Analytics
Faraday Cage
Exacter Acquisition and Analysis Process Data Acquisition &
Discrimination Data Analysis Actionable Information
RF emissions from arcing (deteriorated) electrical components
Exacter sensor in vehicle/aircraft collects the signals and then discriminates and
GPS locates arcing, tracking and leaking electrical components
Data analyzed for severity, persistence and prevalence, enabling: • Exact locating of failing
component • Replacement prioritization
Precise GPS coordinates and relevant condition-
data transmitted to servers for final
statistical geospatial analysis Reports and GIS compatible
information provided to customer
The Need: DOE Smart Grid Project Example
http://www.smartgrid.gov/reports
Condition Assessment: Select Circuits and Design Survey
Following the selection of circuits to be included in the
assessment, Exacter Data Specialists design specific survey routes
using public access roadways. The
EXACTER Sensor is sensitive in a 200
meter radius from the vehicle.
Survey Quality Control Condition Assessment: Monitor Survey Progress
While the survey is underway, the path of the survey vehicle, the
WHITE trace, is monitored to insure
that the circuits being assessed are
completely studied.
Accuracy of results is improved by multiple
passes of the same route over a four week
period.
Condition Assessment: Real-time Failure Signature Analysis
Whenever the EXACTER Sensor
locates a line emission that correlates to a Failure Signature a real-time study is
completed. The 986 RED markers show all
of the studies from the four-week survey
process.
Condition Assessment: EXACTER Condition Assessment Results
The 986 RED Failure Signature Events are studied by EXACTER
Servers to create this result: 25 BLUE
Maintenance Groups where a structure
includes at least one weakened component.
Analytical Process to Locate Deteriorated Equipment
Transmission Equipment Deterioration Aerial Surveys
Prioritized Maintenance Action: Select Equipment to Replace
Specific component(s) that are arcing, leaking
or tracking on those structures that have been prioritized for
repair are identified.
Photographs, Maps, Reports, and GIS Files
are provided.
GIS .SHP File
Example: Project Design
• Projects are designed with utility data to create an optimized price/benefit result
• Utilities: – Set Goals – Perform Maintenance – Measure Results
Vegetation, 32%
Animals and Other, 37%
Selected Priority Feeders to Assess and
Improve Affecting
20% of Outages
Deferred, Less Critical , Low SAIDI Impact Feeders 11%
Equipment, 31%
Outage Causes
Predictive Based
Maintenance
30%
26%
17%
9%8%
5%
2% 2%1% 0%0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
-
5,000,000.00
10,000,000.00
15,000,000.00
20,000,000.00
25,000,000.00
1 11 21 31 41 51 61 71 81 91 101 111 121 131 141 151 161 171 181 191 201 211 221 231 241 251
Eastern DivisionCMI Impact Analysis
Circuit CMI Contribution 5,950 OVHD Miles
Example: Prioritized Worst Performing Circuit (WPC) Improvement Program
73% of Total CMI – 1,904 miles (32%)
CMI Result of Current Programs
Avoid Ineffective Outcomes
0
1
2
3
4
5
Des
ired
Out
com
e
Cost of Program
Cost per Outcome
Its Not the Question that Needs to Change. . .
Sum of All Customer Interruption Durations Total Number of Customers Served
SAIDI
Total # of Customer Interruptions Total Number of Customers Served SAIFI
Sum of All Customer Interruptions Total Number of Customer Interruptions CAIDI
Non Storm-Related Outages on the Electric Distribution System
Trees / Vegetation 32%
Animal Contact 18%
Miscellaneous 19%
Equipment Failure 31%
Source: U.S. DOE
Flat Response = Challenges & Opportunities
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CAID
I
SAIFI
Flat Response = Challenges & Opportunities
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CAID
I
SAIFI
Target Performance
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CAID
I
SAIFI
Top Decile 20 Years of Design Excellence
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CAID
I
SAIFI
SAIDI Focus O&M – Workforce Deployment
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CAID
I
SAIFI
SAIFI Focus Capital Intensive Programs
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CAID
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SAIFI
Typical Strategies
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0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
CAID
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SAIFI
Tree Trimming
Automat ion
60% – 70% Out of ROW
Replace Deteriorated Equipment
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0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
CAID
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SAIFI
Tree Trimming
Automat ion
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0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
CAID
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SAIFI
What is The Strategy to Improve? How Good Is Good Enough?
• SAIDI (CMI)
• SAIFI (Number of outages)
• CAIDI (CMI)
• CEMI (Number of outages)
• Targeted Performance: 1st Quartile or Decile
• Stay Ahead of the Bear
What is Urgent and Important?
Informed Maintenance Decisions
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Circuit A Circuit B Circuit C Circuit D
CMICMI (
100,
000)
Optimized Selection
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Circuit A Circuit B Circuit C Circuit D
CMICMI / Mile
CMI (
100,
000)
Circuit Connectivity
1,000 Customers
CMI1 = CMI2
120 Customers
Circuit 1
Circuit 2
Circuit Physical Design
9 miles of OH 1 mile of UG
9 miles of UG 1 mile of OH
CMI1 = CMI2
Circuit 1
Circuit 2
Circuit Critical Connectivity
100 Customers
100 Customers
CMI1 = CMI2
Circuit 1
Circuit 2
Grid Operation Importance
Smart Grid Control element
Residential Distribution
CMI1 = CMI2
Circuit 1
Circuit 2
Preventive Maintenance Decision Process
Grid Design Asset Health Critical Load Connectivity
Budget
Circuit Performance Optimized Maintenance
Improved Measurements Effective Results
0
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Des
ired
Out
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Cost of Program
Cost per Outcome
0
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Des
ired
Out
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Cost of Program
Cost per Outcome
Lift
Opportunity To Lower
O&M Expense
Predictive Analytics Effective Preventive maintenance
• Long Term Improvement in Reliability – Measurable – Documented – Repeatable
• Additional Value – GIS Data – OMS Systems – Software
• Complete Solution – Vegetation – Asset Data Collection – Predictive Maintenance
CONFIDENTIAL
CMI Reduction Project
Optimized Maintenance
Equipment
Deterioration
Important Assets
High Connectivity
Urgent &
Important
Goal Targets • Reliability Indices • Customer Experience • Employee/Public Safety • Enhanced Asset Information • Targeted System Hardening • Smart Grid Preparedness • Strategic Line Rebuilds Selection Criteria • System CMI Analysis • Cause Code Analysis • Circuit Operations • Customer Density/Complaints • Circuit Length • Outage Event Analysis
DISCOVERY: Goals & Objectives
Project Planning • Territory Analysis • Route Planning • Survey Schedule • Field Deployment • Prioritize Desired Results Field Data Collection - EVENTS • Mobile Survey • Data Collection & Analysis • Reporting - GROUPS • Information Delivery
CONDITION ASSESSMENT: Data Collection & Reporting
Who • EXACTER and UTILITY
Timeline Target • 2 to 4 weeks
Deliverables • Circuit Data Delivery (Utility)
Who • EXACTER
Timeline Target • 4 weeks
Deliverables • Condition Assessment Report/Information
• GIS, Web, PDF, XLS, CSV
Conditions-Based Criteria MAINTENANCE PRIORITY DECISIONS • Asset Age • Zone/Location • Circuit Operations • Voltage Class • Apply Priority Goals • Locate and photograph equipment matching utility goals Goal-Based Criteria • Map to defined goals during Discovery Strategic Maintenance • Issue Work Orders based on criteria Who • EXACTER and UTILITY
Timeline Target • 1 to 3 weeks
Deliverables • Selected field information for Work Order Creation
ANALYZE ASSET DATA: Target Maintenance Priorities
Strategic Maintenance • Issue Work Orders based on priority criteria Measure Select Metrics • Circuit CMI • Cause Code Events • Circuit Operations • Customer Complaints • Indices • Utility Chosen Criteria
Who • UTILITY
Timeline Target • Up to 6 months
Deliverables • Reporting
MEASURE PERFORMANCE:
Project Roadmap
It’s the Answers that Change • Create the Objective • Understand the Reliability
Status in Detail, Along with the Influencing Issues
• Create a Top-Down Strategy • Let the Engineers Do Their
Work • Build a Compelling Story –
Great Engineering Does Not Speak For Itself
• Mitigate Outages and Avoid Disappointing Customers