Oil-immersed transformer thermal monitoring and prediction system

Patent metadata

Field	Value
Publication number	US-2016252401-A1
Application number	US-201615050538-A
Country	US
Kind code	A1
Filing date	Feb 23, 2016
Priority date	Aug 23, 2013
Publication date	Sep 1, 2016
Grant date	—

Abstract

A real time thermal monitoring and prediction system (TMPS) is provided for use in monitoring and operating a transformer. The TMPS may be used to estimate a maximum loading level for the transformer over a future time period using a dynamic thermal model for the transformer and ambient temperature forecasts. The transformer may be loaded to its maximum loading level during power congestion or a service restoration process.

First claim

What is claimed is:

1 . A method of monitoring and operating an oil-filled transformer having a winding, the method comprising:
(a.) receiving a forecast period; (b.) receiving a value of current in the winding; (c.) receiving a value of ambient temperature; (d.) calculating initial values for a top-oil temperature and a winding hot-spot temperature of the transformer using the received values of current in the winding and ambient temperature; (e.) setting a simulation current for the winding of the transformer to a maximum value; (f.) receiving a forecast of future ambient temperatures for the forecast period; (g.) starting with the initial values for the top-oil temperature and the winding hot-spot temperature, recursively calculating updated values for the top-oil temperature and the winding hot-spot temperature of the transformer for a simulation time using the simulation current and the forecast of future ambient temperatures, the simulation time being the lesser of the forecast period and the time at which the calculated updated value of the top-oil temperature exceeds a maximum top-oil temperature or the calculated updated value of the winding hot-spot temperature exceeds a maximum winding hot-spot temperature; (h.) recording the simulation time and the simulation current; (i.) decrementing the simulation current; (j.) repeating steps (g.) through (i.) until the simulation current is a minimum value; (k.) using the recorded simulation currents and the recorded simulation times to create a loadability function for determining a maximum permissible loading level at any given time during the forecast period; and (l.) using the loadability function to operate the transformer during the forecast period.

2 . The method of claim 1 , further comprising after step (l.):
(m.) updating the forecast period by shifting it forward by a selected amount of time; and (n.) re-performing steps (b.) through (l.) using the updated forecast period as the forecast period.

3 . The method of claim 2 , further comprising continuously performing steps (m.) and (n.).

4 . The method of claim 1 , further comprising displaying the loadability function as a curve on a user interface of a computer.

5 . The method of claim 1 , wherein the step of calculating updated top-oil temperatures and winding hot-spot temperatures comprises a recursive series of steps and is performed using a thermal model having the general expression:
{dot over (θ)} top-oil ( t )= f (θ top-oil ( t ),θ amb ( t ), I ( t ), X )
{dot over (θ)} hot-spot ( t )= g (θ hot-spot ( t ),θ top-oil ( t ), I ( t ), X )
wherein, I(t) is the simulation current, X is a parameter vector, {dot over (θ)} top-oil is the updated value of the top-oil temperature, θ top-oil is a previous value of the top-oil temperature, {dot over (θ)} hot-spot is the updated value of the winding hot-spot temperature and θ hot-spot is a previous value of the winding hot-spot temperature; and wherein θ top-oil is initially set as the initial value of the top oil temperature and θ hot-spot is initially set as the initial value of the hot spot temperature.

6 . The method of claim 1 , wherein the step of receiving the forecast of future ambient temperatures comprises receiving the forecast of future ambient temperatures from a weather source over the Internet.

7 . The method of claim 1 , wherein the maximum value for the simulation current is selected by an operator through a user interface of a computer.

8 . The method of claim 1 , wherein the step of receiving the forecast period comprises receiving the forecast period from an operator through a user interface of a computer.

9 . The method of claim 1 , wherein the method is performed using an intelligent electronic device or a transformer protection relay.

10 . The method of claim 1 , further comprising calculating a percent loss-of-life of the transformer using real time ambient temperature and winding current data.

11 . The method of claim 10 , wherein the step of calculating the percent loss-of-life comprises calculating an aging acceleration factor that is a function of the winding hot-spot temperature.

12 . The method of claim 11 , wherein the step of calculating a percent loss-of-life of the transformer comprises:
continuously receiving values of current in the winding; continuously receiving values of ambient temperature; continuously re-calculating values for the winding hot-spot temperature of the transformer using the continuously received values of current in the winding and ambient temperature; continuously re-calculating the aging acceleration factor using the continuously re-calculated values for the winding hot-spot temperature; continuously re-calculating an equivalent aging factor using the continuously re-calculated values of the aging acceleration factor; and continuously re-calculating the percent loss-of-life using the continuously re-calculated values of the equivalent aging factor.

13 . The method of claim 12 , wherein the step of continuously receiving values of ambient temperature comprises receiving values of ambient temperature from a weather source over the Internet.

14 . The method of claim 1 , wherein the maximum value for the simulation current is a rated current of the transformer multiplied by a load factor; and
wherein the step of decrementing the simulation current comprises decrementing the load factor by a predetermined amount.

15 . The method of claim 1 , wherein the received value of current in the winding is a forecasted value of current in the winding.

16 . The method of claim 15 , wherein the received value of ambient temperature is a forecasted value of ambient temperature.

17 . The method of claim 1 , wherein the received value of current in the winding is a measured value of current in the winding.

18 . The method of claim 17 , wherein the received value of ambient temperature is a measured value of ambient temperature.

19 . The method of claim 1 , wherein the winding is a primary winding.

20 . The method of claim 1 , wherein the winding is a secondary winding.

Assignees

• Abb Inc

Inventors

• Feng Xianyong
• Mousavi Mirrasoul J

Classifications

• G01K1/20 Primary

  Compensating for effects of temperature changes other than those to be measured, e.g. changes in ambient temperature · CPC title

• H01F2027/406

  Temperature sensor or protection · CPC title

• H02H6/00

  Emergency protective circuit arrangements responsive to undesired changes from normal non-electric working conditions using simulators of the apparatus being protected, e.g. using thermal images · CPC title

• G01K7/427 Primary

  Temperature calculation based on spatial modeling, e.g. spatial inter- or extrapolation · CPC title

• H02H7/04

  for transformers · CPC title