Distribution transformer

Electrical engineering

Physics

Linear variable differential transformer

Nonlinear system

State-space representation

Energy efficient transformer

Algorithm

Filter (signal processing)

Delta-wye transformer

Engineering

State variable

Voltage

Artificial intelligence

Control (management)

Electronic engineering

Computer science

Quantum mechanics

Control theory (sociology)

Particle filter

Transformer

Thermodynamics

IEEE Transactions on Power Delivery

The power transformer is a key element in a power system and its condition needs to be monitored and evaluated. However, subject to electrical, thermal, and mechanical stresses, the condition of a power transformer can eventually deteriorate causing the loss of the transformer's useful life. Utilizing various condition monitoring data of the transformer, this paper applies a state-space model method to the transformer's remaining useful life estimation. In the state-space model, a state dynamic equation considering the transformer aging mechanism is developed. Three measurement equations using different types of condition monitoring data are established. To solve the nonlinear state-space model, a particle filtering approach is applied. The posterior probability density function of the state variable obtained from the particle filtering is used to determine the transformer's remaining useful life. A number of case studies are carried out to demonstrate the applicability of the proposed method.

On Particle Filtering for Power Transformer Remaining Useful Life Estimation