Proving the Business Case for the Internet of Things

Data acquisition system enhances smart grid monitoring

Steve Rogerson
September 27, 2016
US chip company Analog Devices has announced a data acquisition system (DAS) that enhances smart grid equipment monitoring to protect equipment from harmful system faults and improve power delivery to residences and businesses.
As electricity demand grows and renewable energy generation is added, utility companies must increase the scope, granularity and accuracy of monitoring points across the distribution grid. Current data acquisition systems often require complex design work and expensive integration that can exceed the needs of the application.
This DAS supports Class 0.2 measurement accuracy and enables the development of faster, more sensitive and affordable fault detection equipment that helps protection relay operators reduce the high costs associated with repairing and replacing damaged components.
The AD7616 DAS simplifies designs and lowers system costs by reducing the need for multiple parts in high channel count applications by integrating dual simultaneous sampling of 16 channels. It operates from a single 5V supply and can accommodate ±10, ±5 and ±2.5V true bipolar input signals while sampling at throughput rates up to 1MS/s per channel pair.
Additionally, the device’s input structure eliminates the need for additional external protection circuits or external signal conditioning that add cost. On-chip filtering and high input impedance (1MΩ) eliminate the need for driver op-amps and external bipolar supplies.
On-chip ADCs provide a 90dB SNR, enabling Class 0.2 measurement accuracy compliance and producing more accurate, reliable, time coherent data. Higher SNR performance of 92dB can be achieved by using the on-chip oversampling mode.
The DAS is suitable for a range of distribution applications such as relay protection for low-voltage distribution and feeder terminal units. The device can also be used for multiphase motor control and industrial instrumentation applications.