A review of health index-based condition assessment techniques for power and distribution transformers

Abstract

In this paper, the most significant diagnostic parameters of transformers and the corresponding asset management strategies adopted by the leading power utilities of various countries are discussed. The analytical techniques used include Monte Carlo simulations (MCSs), fuzzy inference systems, neuro-fuzzy systems, regression analysis, multi-criterion analysis (MCA) and so on. These techniques incorporate information related to transformer design and fabrication, operation history and maintenance, visual inspection and various diagnostic tests and measurements. The health assessment methodologies for power and distribution transformers may require improvement. Cost-effective techniques involving few critical parameters have to be used for distribution transformers. Suitable communication technologies need to be deployed for remote monitoring and assessment. Appropriate interfacing software can be developed for analysis. There are many issues and operating conditions associated with Indian transmission and distribution systems, which call for the adaptation of the discussed techniques for their effective use.