http://worldcat.org/entity/work/id/157970587

Remnant life estimation model using fuzzy logic for power transformer asset management

Power transformer is a strategic component for any power delivery system. Transformer breakdown due to faults causes substantial financial losses as power outage and repair or replacement costs are always significant. Electrical, thermal, mechanical and chemical analysis methods are in practice to investigate various individual transformer problems in order to minimize the outages. A number of electrical, mechanical, magnetic, thermal, and chemical phenomena act simultaneously inside the transformer making the analysis difficult. Thus, it is difficult to quantify and interpret power transformer's condition precisely in terms of economic, strategic and technical end of life assessments. The average age of the transformer population is increasing and utilities are facing an increased failure risk which is further compounded by higher peak loads. A number of transformers failed before reaching their designed technical life. Therefore, a scientific remnant life assessment model based on critical variables for aging and rate of aging would be an important tool towards higher reliability of the system and asset management. Better asset management can be achieved by implementing the correct operational and maintenance strategies to control these critical variables. Thus failures due to accelerated aging can be effectively minimized. This will also help in timely asset's relocation or replacement decision, thereby resulting in considerable financial savings and environmental benefits.

Open All Close All