Accessing core data analytics grants deeper insight into the performance and condition of a utility's grid assets. Using this information, utilities and their investors can improve asset performance, produce more accurate balance sheet financials, measure grid losses, and improve tariff negotiation.
Avoid distribution losses from voltage drop or under-loaded distribution transformers by automatically increasing end-of-line voltage, adjusting power factor, or changing net load.
Shift and shave peak demand from expensive peak hours to lower-cost periods and to avoid coincident peak charges.
Flatten peak aggregate demand with non-wires alternatives on individual distribution transformers to avoid the need for upgrades.
Reduce peak demand on the most overloaded distribution transformers to extend their lifetimes.
Install smart electricity meters at customer locations, on distribution transformers and fuses to start collecting raw grid data.
Create digital models of distribution network assets in GIS and grid simulation software.
Identify estimates of grid inefficiency or asset performance issues where costly capital expense projects would be needed.
SparkMeter’s Engineering Analysis includes CapEx planning, resource adequacy requirements and distribution network analysis. We use geospatial and power system network models to perform these analyses, and are also a starting point for broader utility digitalization efforts.
Non-wires alternatives and DERs like demand response and distributed storage have the potential to unlock energy cost savings and a CapEx-light approach to grid capacity through grid services. Using Koios Custom Analytics with data from smart meters and other grid assets, we partner with utilities to develop DER program parameters. As a DER management system (DERMS), our Koios Cloud Platform delivers grid services like peak demand reduction, load shifting, and asset performance optimization.