Title :
Modeling transformers with internal incipient faults
Author :
Wang, Hang ; Butler, Karen L.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
4/1/2002 12:00:00 AM
Abstract :
Incipient fault detection in transformers can provide early warning of electrical failure and could prevent catastrophic losses. To develop transformer incipient fault detection technique, a transformer model to simulate internal incipient faults is required. This paper presents a methodology to model internal incipient winding faults in distribution transformers. These models were implemented by combining deteriorating insulation models with an internal short circuit fault model. The internal short circuit fault model was developed using finite element analysis. The deteriorating insulation model, including an aging model and an arcing model connected in parallel, was developed based on the physical behavior of aging insulation and the arcing phenomena occurring when the insulation was severely damaged. The characteristic of the incipient faults from the simulation were compared with those from some potential experimental incipient fault cases. The comparison showed the experimentally obtained characteristic´s of terminal behavior of the faulted transformer were similar to the simulation results from the incipient fault models
Keywords :
ageing; fault diagnosis; finite element analysis; power transformer insulation; short-circuit currents; transformer windings; 25 kVA; 60 Hz; aging insulation; aging model; arcing model; arcing phenomena; catastrophic losses prevention; deteriorating insulation models; distribution transformers; electrical failure; finite element analysis; finite-element analysis; incipient fault detection; internal incipient winding faults; internal short circuit fault model; terminal behavior; transformers; Aging; Circuit faults; Circuit simulation; Costs; Degradation; Electrical fault detection; Finite element methods; Power system faults; Power transformer insulation; Windings;
Journal_Title :
Power Delivery, IEEE Transactions on