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ABB

logo of ABBABB, the leading power and automation group, and Elster are working together on a wide range of solutions for the Advanced Grid Infrastructure (AGI) Initiative.

 


 

 

 

Among the commercially available and planned offerings are:
  • Combined voltage/current MV sensor with EnergyAxis-enabled Smart Meter
  • Solutions for Conservation Voltage Reduction (CVR)
  • Solutions for loss detection and reporting
  • Solutions for integrated volt/VAR control (IVVC)
  • Fault location, isolation and restoration (FLIR)
  • Solutions for on-line power flow


Asset Monitoring and Management: Medium Voltage Wireless Feeder (Overhead Line) Monitor
ABB and Elster have integrated Elster's ALPHA-based medium voltage (MV) AGInode monitoring and communications platform with ABB's new SCC-125 split-core combination voltage and current sensor. The integrated product will provide remote wireless feeder monitoring at the medium voltage level.

Data gathered from medium voltage sensing points can now be combined and time-synchronized with other system-level data allowing utilities to more efficiently monitor and operate their distribution network. In the past, utilities have not had access to real-time power measurement data on distribution feeders due to the lack of cost-effective, field-proven technology.

This offering provides utilities with a cost-effective solution for plug-and-play metering of overhead medium voltage feeders. It can either be integrated into existing SCADA infrastructure or into Elster's EnergyAxis communications system.

Detection of Technical and Non-Technical Losses
EnergyAxis-enabled LV and MV AGInode measurement devices (developed in collaboration with ABB) measure delivered energy using grid sensors located at targeted feeder boundary points. These devices also compare time-synchronized delivered energy metrics with aggregated downstream Smart Meter and transformer readings. This technology protects the utility’s revenue through faster detection of technical and non-technical losses. Utilities are less dependent on “tips” from the community, and find it easier to pinpoint problems or rule out potential causes with fewer field investigations.