Optimization of the factors affecting the breakdown voltage of the transformer oil using genetic algorithm

摘要

In previous years, a lot of experimental work was done on the factors that affect the breakdown voltage of transformer oil but recently software techniques for optimization gained so much attention. The basic purpose is to analyze the behavior of the properties that affect the breakdown voltage, to optimize the results according to the requirement and to enable the researcher to predict results before the experimental work. As we know, if the applied electric field is provided above a certain limit even for few nano-seconds it could lead to the breakdown of transformer oil. There are certain factors and dielectric properties that affect the breakdown strength of transformer oil and compromising the throughput of the electrical system. The optimization technique used for this purpose is Genetic Algorithm because of its good results, simplicity, and ease of use. It can deal with multiple variables at a time. The considered factors that affect the breakdown voltages are temperature, permittivity, tan δ, viscosity, velocity of the particles. The gap length is considered as 10mm and the factors are optimized around breakdown voltage of 50KV. Generally, oil having breakdown less than 50KV requires oil reconditioning. Considering these factors are leads to analyze many other factor affecting the breakdown voltage.