Insulation Life Loss Prediction of an Oil-Filled Power Transformer Using Adaptive Neuro-Fuzzy Inference System

Matsila, Hulisani; Bokoro, Pitshou N.

doi:10.1109/isie51582.2022.9831734

Cited by 1 publication

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the training data, the distance from any point to the hyperplane is calculated by the following formula: (15) When the distance between the training data and the hyperplane is the smallest, the hyperplane is the optimal hyperplane. The solution of the optimal hyperplane can be expressed by the following formula: (16) The relaxation variables ζ and Lagrange multipliers vi and vi * are introduced to solve the above equations, and the expression of the optimal hyperplane is obtained as follows: (17) In the above formula, K(Xj ,X)is the kernel function. Based on the advantages of RBF kernel function in nonlinear mapping, the expression of RBF kernel function is selected as follows:…”

Section: B Support Vector Regression (Svr) 1) Basic Principles Of Sup...mentioning

confidence: 99%

“…The second is to directly construct the relationship between feature quantities and hot spot temperatures through artificial intelligence algorithms based on the collected transformer operation data. For example, some scholars have studied the application of neural network [14], support vector machine [15], fuzzy system [16] and Kalman filter algorithm [17] in transformer hot spot temperature prediction, and achieved good results.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer

Chen¹,

Chen²,

Huang³

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Realizing online monitoring of the hot spot temperature of grid mounted transformer windings is a challenge for the power industry. The heat exchange process between the internal heat source area and the external field area of the transformer is the direct cause of the temperature increase of the transformer shell. In this paper, based on the numerical coupling calculation of temperature -fluid field of 10kV oil immersed solid coiled iron core transformer, the typical heat flow streamline is extracted, and the measurable temperature characteristic points strongly correlated to the winding hot spot temperature are selected in the heat dissipation area of the shell, and the inversion model of the transformer winding hot spot temperature is established. This article verifies the effectiveness of the simulation results and the accuracy of the inversion model through the multi condition temperature rise test of transformer. The maximum error between the calculated steady-state temperature rise of each temperature measurement point in the simulation model and the test value is no more than 3°C, the simulation calculation results are in good agreement with the test results, and the average absolute error of the inversion model winding hot spot temperature inversion is 2.67 %, the maximum temperature difference is less than 3°C. This research provides an effective method for online monitoring of the hot spot temperature of the winding of a 10kV oil-immersed three-dimensional coil iron core transformer, and provides a reference for the state detection of grid mounted transformers.INDEX TERMS oil-immersed transformer; temperature fluid field; streamline extraction; hot spot temperature inversion; power equipment status monitoring

show abstract

Section: B Support Vector Regression (Svr) 1) Basic Principles Of Sup...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer

Chen¹,

Chen²,

Huang³

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

Insulation Life Loss Prediction of an Oil-Filled Power Transformer Using Adaptive Neuro-Fuzzy Inference System

Cited by 1 publication

References 21 publications

Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer

Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer

Contact Info

Product

Resources

About