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TRANSFORMER CONDITION- BASED RANKING ON THE BASIS OF DESIGN REVIEW AND COMPREHENSIVE OIL ANALYSIS

Victor Sokolov
Scientific and Engineering Center ZTZ-Service Company
11, Dnepropetrovskoye shosse, 69069 Zaporozhye, Ukraine
Phone: (380)-(612)-570-350; Sokolov@ztz-service.com.ua

Full Paper (228KB PDF)

Abstract

The paper discusses power transformer condition assessment cost effective methodology allowing ranking the transformer population and filter out over 80-90%, which does not require special tests and complex maintenance procedures. Methodology based on transformer design review, operation condition review and comprehensive oil analysis.
  Key words: Power transformer- Design review, Oil analysis.

Introduction

The maintenance policy for HV power apparatus is changing under the pressure of economical considerations. Key utility aspects are long term strategies for system usability and reliability
require knowledge of usable service time and serviceability of the transformer. Important factors are budget planning and pressure to postpone the cost not only for replacement of unreliable units but also for major maintenance procedures that require equipment de-energizing and prolong non-availability.
Typical failure rate of power transformer is around 2%. It means that another 5-6% can be in a critical condition in terms of short-term reliability. Among the aged population only 10-15%
are typically suffered from excessive deterioration and require special procedures to prevent early end of life.
Condition –based ranking could be a proper solution to select weak components in the transformer population [1]. It was shown that ranking may be performed by means of determination of some critical parameters based on diagnostic testing results (routine and special) and engineering analysis using design tool and historical background of the units [2].
Latest developments of ZTZ-Service have shown that effectiveness of equipment ranking can be significantly enhanced by means of implementation of condition-based functional methodology [3,4].
This paper discusses diagnostic methodology based on transformer design review, operation condition review and comprehensive oil analysis, which allow effective ranking of the transformer population.

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