Estimation of cable maximum operating temperature based on ANN approach

In this paper, an artificial neural network (ANN) based approach is used for estimation of cable maximum temperature under operational conditions. The most susceptible aspect of power cables is their thermal stability in operational conditions. Estimation of cable maximum temperature during the load cycling can assure the network operator from the cable safe operation. In this paper, some substantial factors which affect the cable thermal behavior are selected as the ANN inputs. A two-layer ANN is formed for cable maximum temperature estimation and is trained by experimental result of cable temperature variation data during different operational conditions. Finally, some other experimental results are applied for evaluation the ANN capability. Results show good accordance of ANN estimations with the real experimental measures.