Predictive Maintenance and Modeling of Transformer

Abstract

Power transformer is the most important and expensive equipment in Power plant and the Oil has the main roles of insulating and cooling of transformer. The oil condition has to be checked regularly and replaced when it necessary, because to avoid the suddenly failure of the transformer. Large power transformers are the most key components in power system and their correct functioning or maintenance is important to system operation. Power transformers are protected by different protection schemes that use voltages and currents to detect abnormal condition in the different zone of protection. For this type of scheme, a short circuit or increment load accidental it must be to trip a system. Power transformers ageing are one of the most critical issues. Also their replacement will consider amount of time and cost. Therefore, developing a replacement or maintenance strategy of transformer populations is important. This paper presents simulation for life assessment of the transformer per hour, per day, per month using LabView™. Here Load and ambient temperatures are two important factors that affect the life of insulation of transformers. The estimated load factors and ambient temperatures are input and to find out the Hot spot temperature or ageing or rate of change of ageing of transformer to the IEC life consumption models to assess the consumed life of insulation of transformer.