AC Breakdown Voltage Test of Vegetable Oils Analyse by AI-Driven Statistical Analysis

Transformers are also vital in electrical delivery to the consumers they are used in the process. Conventionally, transformer insulating fluids have been filled with standard mineral oils (MO) due to their fine dielectric strengths and cooling performances. In this work, the prospect of the two biodegradable oils, palm oil (PO) and rice bran oil (RBO), as the new dielectric fluids for transformers was investigated using the stringent method. The key elements of the methodology involved considering and analyzing oil data as an output while employing new AI-based algorithm analysis in certain areas. The findings of this research indicate that Natural Ester Oils (NEOs) have several benefits and one of them is the fact that they can self-disintegrate and minimize the possibility of fire outbreaks. The statistical analysis conducted by employing the characteristics of AI is useful for understanding the reliability and effectiveness of ester oils in a given circumstance and hence, the possibility of using these oils as a viable MO replacement in the transformer context. Thus, it can be pinpointed out that RBO yields maximal breakdown voltage of 100 KV; and average breakdown voltage was significantly higher than MO. Like in the case with MO, breakdown voltages of blends consisting of PO and RBO were found to be comparable. The trends in breakdown voltage distribution also provide the evidence that esters are going to have the performance characteristics as close to MO as possible. As it has been discussed, NEOs, especially PO and RBO, are economically effective in the long term and ecologically beneficial for transformer insulation.