Journal International Association on Electricity Generation Transmission and Distribution
Year : 2023, Volume : 36, Issue : 2
First page : ( 34) Last page : ( 38)
Print ISSN : 2250-012X. Online ISSN : 2229-4449.

Localization of Partial Discharge in Transformer by Acoustic Emission Technique : ERDA’s Experience

Soni Umesh¹

¹Electrical Research and Development Association, India

Online Published on 24 January, 2024.

Abstract

In power system, keeping power equipment healthy is very important. Any unplanned outage of power transformer results in huge revenue losses. Partial discharges are major cause of failure of power transformer[4]. Partial discharges are a localized dielectric breakdown of a small portion of electrical insulation system when it exposes to high voltage stress. The partial discharges are the early indication of the degradation of the insulation system. If partial discharges occurs in these HV equipment then its insulation will degrade at much faster rate, this will results in the failure of the equipment much earlier than its expected life. There are various techniques available to detect the partial discharges in the HV equipment insulation system. Partial discharge detection in the HV equipment which are in service is affected by various interferences & noises. For on-site detection of partial discharges various indirect methods can be utilized. This paper discuss about the online partial discharge detection method including discharge detection using acoustic emission detection, radio frequency interference detection & dissolve gas analysis of the liquid oil insulation system for power transformer. Acoustic emission detection has the added advantage of this technique is the localization of the discharge activity in the oil filled power equipment. DGA is the proven preliminary technique to detect the discharges. ERDA has been operating in diagnostics field for nearly three decades. This paper discuss techniques used as effective tool of discharge measurement. Case studies of Partial Discharges detection by these techniques were discussed.

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