Microprocessor Implementation of Means for Diagnosing Winds of Power Oil Transformer

Abstract

Power oil transformers are an important component of the power infrastructure. Monitoring the condition of the windings of power oil transformers helps to prevent their premature failure and significant damage to the windings, the repair of which is expensive and leads to significant financial losses. Methods for periodic inspection of the state of the windings of the power transformer are not effective enough. This paper focuses on approaches to the analysis of the assessment of the insulation life of the power transformer windings. The mathematical model proposed by the author allows to estimate the state of insulation of windings of the power transformer in the conditions of short-term and long-term influences on a condition of isolation. This study is aimed at developing a microprocessor tool for diagnosing the windings of a power oil transformer by thermal aging in accordance with the proposed mathematical model. Microprocessor implementation simplifies the use of this mathematical model, as all calculations are automatic. The proposed approach does not require significant investment and meets the requirements of speed.

The developed tool can be recommended for use by power companies in diagnosing power oil transformers, which can be integrated into the monitoring system of all power equipment of the switchgear of a power plant or substation, which reduces in some way the cost of maintenance of power equipment.