Aclara Distribution Asset Analysis

Delivering accurate utilization forecasting and overload detection for downstream distribution assets

The Aclara Distribution Asset Analysis delivers a key - and often excluded-component of any distribution asset management program: accurate measurement of network utilization for downstream assets at and below the substation level.

Aclara Distribution Asset Analysis leverages all available interval data from AMI or other sources. Where such data are not available, the Aclara Distribution Asset Analysis applies sophisticated and proven load profiling and aggregation techniques to provide accurate estimates of hourly usage for any point on the network, from substation to transformer. This translates into tangible cost savings and better reliability through:

  • improved asset sizing
  • capital planning tied to accurate utilization rates;
  • reduced equipment failures
  • increased asset life and;
  • mitigation of energy losses

Forecasting (or Backcasting) Load Along the Network:

  • Create short - or long-term load forecasts (or backcasts) for a selected circuit, substation, transformer, capacitor, switch or other network device.
  • Define forecasting parameters with multiple options for season or month, day-type, and weather conditions.
  • Plot bottom-up load estimates against top-down SCADA metering to identify "unaccounted for energy" due to theft or metering failures.

Utilization Analysis & Overload Detection Generate:

  • Key metrics such as utilization percentage and overload duration allow you to quickly pinpoint chronically under- or over-utilized assets.
  • Query, sort, and group data to easily target and refine your analysis.
  • Display utilization from the substation level down to individual pole transformers.

Phase Balancing Analysis:

  • View peak and average load by phase to assess load-balancing performance at any selected node.
  • Use filter criteria to compare load balancing performance for different seasons, months, days, or temperature ranges.
  • View corresponding load aggregations by profile class to help identify the source of phase imbalances.