Multi-criteria decision support system using AHP method to determine the weight of transformer paper insulation index

Abstract

The transformer has evolved into an electrical device that operates based on the principle of electromagnetic induction without altering the frequency, capable of transferring electric energy from one or more electrical circuits to others by means of magnets. Insulation material is utilized as equipment to safeguard electrical components, where the resilience of each insulation plays a significant role in the functioning of the system. In addition to providing mechanical strength and distance, paper insulation functions as a dielectric medium. The quality of paper insulation deteriorates due to excessive heat generated from oil oxidation, leading to a degradation process known as depolymerization. In addressing this issue, a Decision Support System is required to aid in calculating the condition index of the paper insulation based on given parameters. The chosen method is the Analytic Hierarchy Process (AHP) utilizing multiple criteria. The outcome of applying this method is that the entire system operates as intended, and the calculation process yields appropriate results. Testing results, which involve a comparison between manual calculations and the Confusion Matrix system, exhibit a 100% accuracy rate. Additionally, user testing yields an average satisfaction level of 90.97%. In conclusion, this system adequately fulfils its intended purpose and significantly helps to determine the quality level of paper insulation in transformers.