Reliability Assessment Electric Utility Mapping. Maged Yackoub Eva Szatmari Veridian Connections Toronto, October 2015

Transcription

1 Reliability Assessment Electric Utility Mapping Maged Yackoub Eva Szatmari Veridian Connections Toronto, October 2015

2 Agenda Introduction About Veridian Connections Veridian s GIS platform Reliability assessment A case study for wood poles Electric utility mapping Schematics Conclusions and future directions Q&A 2

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5 Veridian s GIS platform 5

6 Reliability assessment A case study on utility wood poles serviced by Veridian Connections 6

7 Electrical Equipment Reliability Electrical equipment is subject to aging and deterioration Every component has different failure behaviour Overhead lines are exposed to damage from a wide range of causes In general, the failure rate of electrical equipment follows the famous bathtub-shaped curve. The bathtub curve 7

8 Weibull Model a=0.5 Two parameter Weibull distribution function f t = β α t α β 1 e t f(t) - the probability density function, F(t) - the cumulative distribution function CDF b>0 - the shape parameter a>0 - the scale parameter Failure rate function Reliability function β h t = f(t) R(t) = βtβ 1 α β F t = 1 e t α β R t = 1 F t = e t α Estimation of parameters a and b can be obtained from the linearized form of the CDF by linear least square regression β 8

9 Data Collection & Analysis Data sources Pole failure data Historical pole inspection data GIS DATABASE EXTRACT POLE FEATURES EXTRACT DATA FOR ANALYSIS DATA PREPARATION MODEL PARAMETER ESTIMATION Data analysis Age of failed wood poles Age of substandard poles CALCULATE RELIABILITY FUNCTION MAP RESULTS 9

10 ArcGIS Implementation 10

11 Results of the Analysis Poles failed a=50.20 years b =3.49 Substandard Poles a=47.11 years b =

12 Reliability Function Mapping 12

13 Reliability Function Mapping 13

14 Reliability Function Mapping 14

15 Conclusions Weibull analysis provide consistent estimates of wood pole reliability for true failure and inspection data Model-based reliability analysis can be applied to the study of failure patterns of other components of power distribution system. Predictive results of different modelling strategies can be further integrated into decision making processes in maintenance planning and replacement programs Include covariate factor to analysis (e.g., environmental factors) 15

16 Electric Utility Mapping Schematics 16

17 Maps in Electric Utility Companies Maps are the most common method to communicate spatial information GIS technology has transformed conventional mapping Electric utility maps are essential at different levels of the utility company: System Control Centre Asset Managers Engineers and technicians Field Crew 17

18 Different Types of Maps Geographic Geo-Schematic Pure Schematic 18

19 Schematic Diagrams at Veridian Two systems: CAD and GIS Connections Challenges Data redundancy Separate data source Error-prone system 19

20 Our Requirements for Schematics Schematic representation of the power distribution network Geographic reference Network visualization from source to load Detailed information with optimized placement of features for map legibility Efficient updates each time required Automatic or semi-automatic generation of the schematic 20

21 Our Approach to Schematics Previous approach Map books and schematic diagrams created with ArcGIS Desktop Current approach GIS data organized into a geometric network. Geo-Schematic map is created using ArcGIS Schematics Extension tools Semi-automated methods to update schematics 21

22 GIS DATABASE CREATE FEATURE DATASET CREATE GEOMETRIC NETWORK CORRECT ERRORS Geo-Schematics Workflow NETWORK ERRORS? YES NO GENERATE NEW SCHEMATIC DIAGRAM Non optimized layout Latest GIS data SCHEMATIC DATASET DIAGRAM TEMPLATE APPLY ESRI SCHEMATIC LAYOUT ALGORITHMS IDENTIFY (visually) OVERLAPPED, CLUTTERED &SCATTERED FEATURES NO UPDATE? MANUALLY REPOSITION SCHEMATIC FEATURES YES IMPORT EXISTING SCHEMATIC GEOMETRY INTO NEW SCHEMATIC DIAGRAM IDENTIFY NEW FEATURES since last update EXISTING SCHEMATIC Optimized layout Old GIS data SCHEMATIC DIAGRAM 22

23 Challenges Dealing with different network connectivity rules in ArcGIS geometric network and other GIS platforms Schematic layout algorithms (e.g., linear dispatch, compression) are applicable only to parts of diagram Manual labor still required (e.g., when first time generating the schematic) 23

24 Port Hope Schematic in CAD format 24

25 Port Hope Geo-Schematic 25

26 Gravenhurst Grid Maps 26

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29 Conclusions Unique data source: GIS database A single schematic template for all service areas Schematics are generated from a dataset in geometric network Automated update process Less error prone (e.g., new elements/changes are highlighted in the map document) More detailed information captured on the map Multiple visualization Customized solutions using the schematic layout algorithms 29

30 Thank you for your attention. 30