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Transformer monitoring

The fault seen in the oil first.

INSIDE: POWER TRANSFORMERS AND SWITCHGEARHOW IT WORKS · A TRANSFORMER NEAR VADODARASensors read theoil temperatureevery minute,say 68 °CA gas sensormeasures thehydrogendissolved in theoil: 40 partsper millionOver threeweeks, thehydrogen climbsto 180 partsper millionSoftwarecompares thisrise with thesafe limit andthe past trendIt sends analert to themaintenance teamEngineersinspect thetransformer at aplanned shutdownALSO TALKS TOAsset performance management (APM)↗ PREDICTIVE MAINTENANCE SOFTWAREINSIDE: POWER TRANSFORMERS AND SWITCHGEARHOW IT WORKS · A TRANSFORMER NEAR VADODARASensors read the oiltemperature every minute,say 68 °CA gas sensor measures thehydrogen dissolved in theoil: 40 parts per millionOver three weeks, thehydrogen climbs to 180parts per millionSoftware compares thisrise with the safe limitand the past trendIt sends an alert to themaintenance teamEngineers inspectthe transformer ata planned shutdownALSO TALKS TOAsset performance management (APM)↗ PREDICTIVE MAINTENANCE SOFTWAREINSIDE: POWER TRANSFORMERS AND SWITCHGEAR · ATRANSFORMER NEAR VADODARASensors read the oil temperature everyminute, say 68 °C↓A gas sensor measures thehydrogen dissolved in theoil: 40 parts per million↓Over three weeks, the hydrogen climbs to180 parts per million↓Software compares this rise with the safelimit and the past trend↓It sends an alert to the maintenance team↓Engineers inspect the transformer at aplanned shutdownALSO TALKS TOAsset performance management (APM)↗ PREDICTIVE MAINTENANCE SOFTWARE
Sensors on a transformer measure the oil temperature and the gases dissolved in the oil, and send the readings to software that raises an alert when the trend turns bad.
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Transformer monitoring is the use of sensors to watch a power transformer's oil, gases and heat for the early signs of a fault, before the transformer fails. A transformer is a large machine that changes voltage on the power grid. Replacing one can take many months, so a utility wants a warning well before it breaks.

The oil inside the transformer carries the early evidence. The oil cools the windings and insulates them. When the insulation or the oil overheats or sparks inside the tank, it breaks down and releases small amounts of gases, which dissolve in the oil. Different faults release different gases. Hydrogen appears with many kinds of fault. Acetylene points to an electric arc, and ethylene points to severe overheating. A dissolved-gas sensor measures these gases. Other sensors measure the oil temperature, the winding temperature, the moisture in the oil and the load on the transformer.

The readings are sent to asset performance management software. It compares each reading with safe limits and with the transformer's own past readings. A slow rise in one gas over weeks is a warning even if the value is still below the limit. This is the idea of predictive maintenance: repair when the data says it is needed, not on a fixed calendar and not after a breakdown. The readings are a kind of time series data, which means numbers with a timestamp.

Say a different transformer shows acetylene on its gas sensor, where there was none last month. Acetylene is the sign of arcing inside the tank, and arcing can grow quickly. The software raises an urgent alert the same day. The maintenance team reduces the load on the transformer and takes it out of service for inspection. Without the alert, it could have failed in a heat wave, when demand is highest and a replacement is not available for months.

Newer sensors do part of the analysis themselves. A sensor now carries enough computing power to process its own reading, so it reports only what matters instead of sending every number onwards. Transformer monitoring sits inside the larger job of looking after power transformers and switchgear.

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