US 12,360,149 B2
Machine learning based method and device for disturbance classification in a power transmission line
Obbalareddi Demudu Naidu, Karnataka (IN); Dinesh Patil, Karnataka (IN); and Preetham Venkat Yalla, Karnataka (IN)
Assigned to HITACHI ENERGY LTD, Zürich (CH)
Appl. No. 17/777,883
Filed by Hitachi Energy Ltd, Zürich (CH)
PCT Filed Nov. 18, 2020, PCT No. PCT/EP2020/082577
§ 371(c)(1), (2) Date May 18, 2022,
PCT Pub. No. WO2021/099413, PCT Pub. Date May 27, 2021.
Claims priority of application No. 201941047094 (IN), filed on Nov. 19, 2019.
Prior Publication US 2022/0413032 A1, Dec. 29, 2022
Int. Cl. G01R 31/08 (2020.01); G01R 19/25 (2006.01); G06N 20/00 (2019.01); H02H 1/00 (2006.01); H02H 7/22 (2006.01)
CPC G01R 31/088 (2013.01) [G01R 19/2513 (2013.01); G06N 20/00 (2019.01); H02H 1/0092 (2013.01); H02H 7/226 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method for determining a disturbance condition in a power transmission line, wherein the method is performed by an Intelligent Electronic Device (IED) communicatively coupled with a measurement equipment connected with the power transmission line, the method comprising:
obtaining a plurality of sample values corresponding to an electrical parameter measured in each phase among one or more phases, wherein the electrical parameter in the one or more phases is measured with the measurement equipment connected at one end of the power transmission line;
determining a plurality of magnitudes of the electrical parameter corresponding to each phase based on the corresponding plurality of sample values;
determining a plurality of difference values for each phase based on the corresponding plurality of magnitudes, wherein each of the plurality of difference values is representative of a rate of change of magnitudes for the corresponding phase, wherein determining the plurality of difference values comprises
detecting the disturbance condition based on comparing each of the plurality of difference values with a pre-determined threshold value, and
selecting a subset of the plurality of difference values subsequent to the detection of the disturbance condition;
processing only the selected subset of the plurality of difference values corresponding to the one or more phases using a machine learning technique to determine a type of the disturbance condition in the power transmission line, wherein the disturbance condition is one of a load change condition, a power swing condition, or an electrical fault condition; and
performing at least one of a protection function or a control function based on the disturbance condition.