Estimation of Dielectric Response Parameters of Transformers Using Hybrid Genetic Algorithm

Abstract

It is important to reveal the relationship between the characteristic quantity of return voltage and polarization characteristics of dielectric in theory. In recent years, some researchers have proposed some equivalent circuit models to study the relationship between the equivalent circuit and the characteristic quantity of return voltage. However, seldom shows how the mathematical model of equivalent circuit parameters estimated is established and these parameters are estimated. The initial slope of return voltage is of great significance to identify the parameters of equivalent circuit based on linear dielectric response theory. Therefore, this paper establishes a mathematical model with the data of initial slope of return voltage for estimating its parameter, and then, a hybrid genetic algorithm is used for solving the problem. The result shows that the model established is feasible and effective.