Methods and systems for predicting conductor health
Embodiments of the application relate to methods and systems for monitoring and predicting a conductor's health using original manufacturer conductor specifications ( 1 ), in-use conductor clearance ( 6 ), in-use conductor temperature ( 5 ), and perhaps even in-use conductor tilt ( 15 ) to calibrate a conductor health model and continuing to recalibrate a conductor health model throughout the life of a conductor.
1. A method for monitoring and predicting power line conductor health comprising the steps of:
providing original manufacturer conductor specifications for a conductor;
installing said conductor in a power line system;
preparing an initially designed conductor health model using said original manufacturer conductor specifications;
continually measuring an in-use temperature and an in-use clearance data of said conductor after installation to provide in-use conductor health data;
calculating a creep of said conductor from said in-use conductor health data;
calibrating said initially designed conductor health model with said in-use conductor health data to provide a calibrated conductor health model;
evaluating a strength of said conductor based on said calibrated conductor health model; and
predicting a remaining strength of the conductor.
2. The method for monitoring and predicting power line conductor health as described in claim 1 , wherein the step of calculating the creep of the conductor from the in-use conductor health data comprises a step of calculating an effective high temperature conductor creep of said conductor.
3. The method for monitoring and predicting power line conductor health as described in claim 2 , wherein said step of calibrating said initially designed conductor health model with said in-use conductor health data comprises a step of computing a corresponding strength loss of said conductor from said effective high temperature conductor creep.
4. The method for monitoring and predicting power line conductor health as described in claim 1 , wherein said original manufacturer conductor specifications are chosen from an original sag chart of said conductor, an original plan and profile chart of said conductor, original LiDAR survey data from said conductor, and any combination thereof.
5. The method for monitoring and predicting power line conductor health as described in claim 1 , wherein said initially designed conductor health model using said original manufacturer conductor specifications is chosen from:
a PLS-CADD file based on said original manufacturer conductor specifications for said conductor;
a drawing file based on said original manufacturer conductor specifications for said conductor;
a finite element model using PLS-CADD based on original LiDAR survey data from said conductor;
a ruling span model using PLS-CADD based on the original LiDAR survey data from said conductor;
a ruling span model using PLS-CADD based on an original plan and profile chart of said conductor and an original sag chart of said conductor;
a ruling span model using drawings based on the original plan and profile chart of said conductor and the original sag chart of said conductor;
a single span model using the drawings based on the original plan and profile chart of said conductor;
the single span model using PLS-CADD based on the original plan and profile chart of said conductor; and
any combination thereof.
6. The method for monitoring and predicting power line conductor health as described in claim 1 , further comprising a step of analyzing said conductor and collecting in-use conductor health data when said conductor is initially installed and including said in-use conductor health data in said initially designed conductor health model.
7. The method for monitoring and predicting power line conductor health as described in claim 6 , wherein said in-use conductor health data from said analyzing said conductor when initially installed comprises different stress and strain data used to calibrate creep of the conductor.
8. The method for monitoring and predicting power line conductor health as described in claim 1 , wherein said step of continually measuring an in-use temperature and an in-use clearance data of said conductor after installation to provide in-use conductor health data comprises the step of continually measuring the in-use temperature and the in-use clearance data of said conductor after installation to provide in-use conductor health data throughout a life of the conductor.
9. The method for monitoring and predicting power line conductor health as described in claim 1 , wherein said in-use clearance data comprises an inverse of sag data.
10. The method for monitoring and predicting power line conductor health as described in claim 1 , wherein said step of continually measuring an in-use temperature and an in-use clearance data of said conductor after installation to provide in-use conductor health data comprises a step of measuring said in-use clearance data of said conductor with three hour running averages of said in-use clearance data.
11. The method for monitoring and predicting power line conductor health as described in claim 1 , further comprising a step of continually measuring an in-use tilt data of said conductor after installation.
12. The method for monitoring and predicting power line conductor health as described in claim 11 , wherein said step of continually measuring an in-use tilt data of said conductor comprises a step of measuring said in-use tilt data of said conductor with specified running averages of said in-use tilt data of said conductor.
13. The method for monitoring and predicting power line conductor health as described in claim 11 , further comprising a step of comparing said in-use clearance data with said in-use tilt data of said conductor.
14. The method for monitoring and predicting power line conductor health as described in claim 13 , further comprising a step of when said in-use clearance data do not correlate to said in-use tilt data of said conductor, evaluating an event for an artificial ground event or a validated event.
15. The method for monitoring and predicting power line conductor health as described in claim 14 wherein said validated event comprises calculating a new conductor creep and recalculating said calibrated conductor health model.
16. The method for monitoring and predicting power line conductor health as described in claim 14 wherein said artificial ground event is chosen from snow, vegetation on the ground, and a mobile vehicle.
17. The method for monitoring and predicting power line conductor health as described in claim 14 wherein said validated event comprises a twist in a conductor or a conductor blowout event.
18. The method for monitoring and predicting power line conductor health as described in claim 11 , further comprising a step of creating a secondary calibrated conductor health model from the in-use tilt measured data and said in-use temperature measured data of said conductor.
19. The method for monitoring and predicting power line conductor health as described in claim 11 , wherein the step of continually measuring an in-use tilt further comprises a step of measuring in-use clearance data, wherein, when clearance data may be inaccurate or missing, the clearance data can be replaced by the in-use tilt data.
20. The method for monitoring and predicting power line conductor health as described in claim 1 , further comprising a step of determining an effective wind on said conductor and incorporating said effective wind into a recalibrated conductor behavior model.
21. The method for monitoring and predicting power line conductor health as described in claim 20 , further comprising a step of using said effective wind when an effective ambient temperature cannot be used.
22. The method for monitoring and predicting power line conductor health as described in claim 1 , further comprising a step of recalibrating said calibrated conductor health model with new in-use conductor health data.
23. A system for monitoring and predicting power line conductor health comprising:
an initially designed conductor health model using original manufacturer conductor specifications for a conductor in a power line system;
continual in-use temperature and an in-use clearance measurement data of said conductor after installation;
a calibrated conductor health model based on said initially designed conductor health model calibrated with said continual in-use temperature and an in-use clearance measurement data;
a conductor strength based on said calibrated conductor health model;
a predicted remaining strength of said conductor, and
a creep calculation of said conductor based on a calculated effective high temperature conductor creep of said conductor.
24. The system for monitoring and predicting power line conductor health as described in claim 23 , further comprising a creep calculation of said conductor based on a calculated effective high temperature conductor creep of said conductor.
25. The system for monitoring and predicting power line conductor health as described in claim 24 , further comprising a computed corresponding strength loss of said conductor from said calculated effective high temperature conductor creep.
26. The system for monitoring and predicting power line conductor health as described in claim 24 , wherein said original manufacturer conductor specifications are chosen from an original sag chart of said conductor, an original plan and profile chart of said conductor, original LiDAR survey data from said conductor, and any combination thereof.
27. The system for monitoring and predicting power line conductor health as described in claim 24 wherein said initially designed conductor health model using said original manufacturer conductor specifications is chosen from:
a PLS-CADD file based on said original manufacturer conductor specifications for said conductor;
a drawing file based on said original manufacturer conductor specifications for said conductor;
a finite element model using PLS-CADD based on original LiDAR survey data from said conductor;
a ruling span model using PLS-CADD based on the original LiDAR survey data from said conductor;
a ruling span model using PLS-CADD based on an original plan and profile chart of said conductor and an original sag chart of said conductor;
a ruling span model using drawings based on the original plan and profile chart of said conductor and the original sag chart of said conductor;
a single span model using the drawings based on the original plan and profile chart of said conductor;
the single span model using PLS-CADD based on the original plan and profile chart of said conductor; and
any combination thereof.
28. The system for monitoring and predicting power line conductor health as described in claim 24 wherein said initially designed conductor health model comprises initially tested conductor data.
29. The system for monitoring and predicting power line conductor health as described in claim 28 , wherein said initially tested conductor data comprises different stress and strain data used to calibrate creep of said conductor using the original manufacturer conductor specifications.
30. The system for monitoring and predicting power line conductor health as described in claim 23 , wherein said continual in-use temperature and in-use clearance measurement data comprises the continual in-use temperature and the in-use clearance measurement data collected throughout a life of the conductor.
31. The system for monitoring and predicting power line conductor health as described in claim 23 , wherein said in-use clearance measurement data comprises an inverse of sag data.
32. The system for monitoring and predicting power line conductor health as described in claim 23 , wherein said in-use clearance measurement data of said conductor comprises three hour running averages of said in-use clearance measurement data.
33. The system for monitoring and predicting power line conductor health as described in claim 23 , further comprising continual in-use tilt measurement data of said conductor after installation.
34. The system for monitoring and predicting power line conductor health as described in claim 33 z wherein said continual in-use tilt measurement data comprises three hour running averages of said in-use tilt measurement data.
35. The system for monitoring and predicting power line conductor health as described in claim 33 z further comprising a comparison of said in-use clearance measurement data with said in-use tilt measurement data.
36. The system for monitoring and predicting power line conductor health as described in claim 35 , wherein said comparison of said in-use clearance measurement data with said in-use tilt measurement data is not correlated comprises an event evaluation of an artificial ground event or a validated event.
37. The system for monitoring and predicting power line conductor health as described in claim 36 , wherein said validated event comprises a new conductor creep.
38. The system for monitoring and predicting power line conductor health as described in claim 36 , wherein said artificial ground event is chosen from snow, vegetation on the ground, and a mobile vehicle.
39. The system for monitoring and predicting power line conductor health as described in claim 36 , wherein said validated event comprises a twist in a conductor or a conductor blowout event.
40. The system for monitoring and predicting power line conductor health as described in claim 23 , further comprising a secondary calibrated conductor health model based on in-use tilt measured data and said in-use temperature measured data.
41. The system for monitoring and predicting power line conductor health as described in claim 23 , further comprising an effective wind measurement data of said conductor and a recalibrated conductor behavior model based on said effective wind measurement data.
42. The system for monitoring and predicting power line conductor health as described in claim 41 , wherein said effective wind measurement data is used to produce secondary calibrated conductor data.
43. The system for monitoring and predicting power line conductor health as described in claim 23 , wherein said calibrated conductor health model is recalibrated with new continual in-use temperature and an in-use clearance measurement data of said conductor.
44. The method for monitoring and predicting power line conductor health as described in claim 11 , further comprising a step of using said in-use tilt of said conductor to validate dynamic line ratings.