Boards/Backplanes

Reference design aids power grid data measurement

14th May 2014
Mick Elliott
0

The need for utilities and infrastructure providers to simultaneously and accurately measure distributed power grid data can now be met with Petaluma, a subsystem reference design from Maxim Integrated Products. Utility organisations worldwide are deploying more robust applications that require highly accurate distributed grid status data to leverage distributed generation technologies such as solar and wind power.

Voltage and current measurements must be gathered simultaneously for all lines, so the utility can understand the timing among phases and ensure maximum uptime across the grid. Petaluma is a high-speed, simultaneous-sampling, 8-channel analogue input front-end (AFE) that monitors grid data simultaneously from all phases, so grid managers can optimize their distribution automation signal chain.

Petaluma is tuned to the 50Hz to 60Hz signal to match power grids around the world. The simultaneous sampling of three phases is done with low power consumption in the 1W range.  Its high-speed sample rate (250ksps per channel) comes with 16-bit accuracy, allowing for quick responses to grid fault conditions. Petaluma performs well in any application that requires multiple simultaneous sampling of analog inputs, such as multiphase motor control and industrial vibration sensing, to accurately calculate instantaneous power consumption.

Key advantages includea 16-bit ADC and external voltage reference provide the highest possible accuracy of 0.02% and a 3ppm/°C maximum temperature coefficient; Simultaneous sampling as the subsystem includes eight high-speed 250ksps simultaneous-sampling analog input channels that accept ±10V input signals; and low power consumption in the 1W range.

“Petaluma was developed as an analog front-end solution ideally suited for the distribution automation grid,” said David Andeen, Reference Design Manager at Maxim Integrated. “The subsystem reference design’s high sample range of 250ksps per channel ensures accurate capture of fault events so utilities can take immediate action within a single cycle.”

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