Transformer Monitoring and Diagnostic Systems

Featured Product

Owners of critical transformer equipment can realize the benefits of predictive analysis on transformer health and the development of a true condition-based maintenance program.

This offering includes specific monitoring components that are configured into a customized system that correlates key transformer data and models actual operating conditions.

Transformer Predictive Analysis

Transformer Monitoring System (TMS) is primarily health monitoring of the equipment that can acquire, process, analyze & communicates the critical parameters to centralize Data Center for analysis and visualization of wide spread Distribution Transformers and Power Transformer in Electrical Network

TMS

Transformers are very important plant assets and their health is crucial to the operation of the facility.

Periodic inspections and tests are not always sufficient to identify developing issues.

Oil analysis alone cannot cover many failure modes. Many transformer units installed at industrial plants have very unique and complex designs.

Background

TMS increases the reliability of distribution network. Not only the conventional technical data, such as current, voltage, etc., but also other critical

information such as moisture, oil temperature, oil level etc. of transformers, are required by the operators to ensure reliable power delivery and to assist the day-to-day decision making activities.

TMS

BUSHING Operating Voltage Over voltages Change of bushing capacitance Power factor Loading current ( single or three Phase)

ACTIVE PART Power (apparent, active, reactive) Oil temperature (top and bottom) Ambient temperature Gas in oil (single or multi gas sensors) Moisture in oil and paper Hot –spot temperature ( fiber optic measurement)

PARTIAL DISCHARGES Electrical, acoustic and UHF methods available

MONITORING FUCTIONS

ON-LOAD TAP CHANGERTap positionNumber of switching operationsSwitching timePower consumption of the OLTC motor driveOLTC oil temperature and differentialSum of switched currentContact wear

MONITORING FUCTIONS

COOLING SYSTEM Oil temperature at the cooler inlets and outlets Cooling efficiency Running hours of pumps and fans Content of gas in the Buchholz relay Oil level in conservator Intelligent cooling control Auxiliary equipment statuses and alarms (pressure relief device, OTI, WTI, Buchhloz relay

etc.)

MONITORING FUCTIONS

Dissolved gas in oil Moisture in oil Top oil temperature Bottom oil temperature Ambient temperature Cooling fan and pump status Load current Tap changer information (if equipped)

Key transformer data includes

Apparent power Winding hot spot Moisture and bubbling Moisture in paper Moisture in barrier Dynamic loading Insulation aging Diagnostic alarms Prognostic alarms Health index Risk index

Spectro modeling predictive analysis information

On line Dissolved gas Analysis, Hot spot, and Tan delta of bushing for Power Transformerhelps to monitor the health of transformer and more important loading of the transformercan be accurately controlled. Insulation integrity is vital to your transformer's operation.Moisture buildup and transformer overheating are two conditions which may lead toirreversible insulation degradation. NI cRIO accurately monitors the evolution of bothmoisture and carbon monoxide, allowing optimal scheduling of additional insulationintegrity tests such as Dissolved Gas Analysis (DGA) and Furan testing.

Monitoring condition of Insulation Degradation

Even at the earliest stages of fault development, both thermal and electrical stresseson transformer oil will generate dissolved hydrogen. In addition, the highly mobile hydrogenis quickly distributed throughout the oil, providing an early and reliable fault signature.

NI cRIO excels at timely and accurate low-level hydrogen measurements. When installed onyour critical transformers, NI cRIO provides the earliest possible fault detection, andallows accurate real-time monitoring of subsequent fault evolution.

This unique hydrogen measurement technology requires no calibration and is field-proven to prevent equipment failure and extend transformer life.

Hydrogen Monitoring

Carbon monoxide is a by-product of cellulose degradation. Although generated inall transformers under normal operating conditions, anomalous amounts of carbonmonoxide may be generated when localized cellulose overheating occurs. NI cRIOprovides a dependable measurement of the CO baseline, and will alarm on a suddenincrease of CO concentration. Timely follow-up with laboratory DGA and furan analysiswill enable early detection of accelerated aging of solid insulation, beforesignificant and irreversible damage is incurred.

The TMS collects data from remote transformers with communication interface(GPRS/CDMA) to provide daily usage, total usage, real time data and long-term datamanagement, automatic report generation, energy accounting & graphicalrepresentation of transformer on GIS at centralized Data Center

Carbon Monoxide Monitoring

Selection of optimum components System design and engineering Hardware installation Communication system installation System and software integration Start-up and commissioning Supply of labor and technicians Project management Remote monitoring and diagnostics (optional)

Program Features

Software Image

Software Image

Bharti Automation has an extensive family of monitoring components that are easily configurable for customized transformer monitoring solutions. Many options are available for every budget and operational contingency.

These range from basic composite gas and moisture monitoring of the main tank to multi-gas systems that collect the key data on both the main tank and an on-load tap changer tank.

Components

All large single point of failure transformers Generator step-up (GSU) transformers Electric arc furnace transformers Rectifier transformer systems

This Program is applicable to:-

Reduced inspection and maintenance costs Reduced failure-related repair or replacement costs Reduced revenue losses due to lost plant production Deferred capital costs due to load growth or equipment age and condition Improved confidence and security for dynamic transformer overloading performance Detects incipient faults and assists in preventing failures and unplanned outages Enables the condition based maintenance Provides monitoring and diagnostic for all vital transformer parts by integrating the available

sensors and supporting various IED communication protocols Built-in models for transformer condition assessment (bushings, thermal model, insulation

ageing, cooling efficiency, OLTC)

Bharti Automation

Transformer Monitoring Benefits