Power analyser enables precise verification of losses in transformers

Yokogawa’s WT5000 precision power analyser – transformer version is dedicated to helping transformer manufacturers develop and validate the losses of highly efficient products for utility industry customers.

Transformers play a crucial role in the power grid. With electricity demand set to soar to as much as 40 TWh by 2040 and with transformers responsible for some 4% of distribution network losses, achieving more efficient transformers has never been more important.

Owners of distribution networks impose penalties on transformer manufacturers according to the degree of losses measured during the no load test. As these penalties can exceed 13,000 EUR per kilowatt and include the measurement uncertainty, it is vital for transformer manufacturers to measure these losses accurately and with minimum uncertainty. This lowers the cost of penalties and builds greater trust with customers.

The WT5000 WT5000 precision power analyser – transformer version helps manufacturers achieve the highly accurate analysis needed to develop economical and efficient transformers. The instrument is equipped with a special input module that has much better uncertainty specifications for transformer testing.

Yokogawa says the WT5000 WT5000 precision power analyser – transformer version is its most accurate power analyser, offering accuracy of 0.008% at unity power factor and offering the best accuracies at low power factors for commercial frequencies of 45 to 66 Hz. Low power factors have a dramatic effect on accuracy. The instrument offers accuracy of 0.6% of the reading for measurement, even at a power factor as low as 0.001 at 100 V and 1 A.

Kelvin Hagebeuk, marketing manager for test and measurement, says: “Whether during R&D, production, or acceptance testing, the WT5000 precision power analyser – transformer version produces the reliable measurements that engineers need as they seek to improve transformer efficiencies and verify the losses to reduce the total cost of ownership for utility companies.”