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Distributed Energy Resource (DER) Integration

The intermittent nature of DERs requires distribution utilities to have near-real time net load and generation data for each DER asset.  To physically integrate these disparate, dispersed, and dynamic assets utilities need near-real time visibility into the impact these assets have on local circuits throughout the day. This analysis must include forecast analytics for ordinary service point loads as well as variable DER load and generation to ensure that local system assets can manage local requirements and maintain system fidelity.

Distributed Energy Resource Integration.

PowerRunner Delivers

PowerRunner delivers dynamic models that can deliver detailed cost benefit valuations to support rate cases based on additional DER integration. Our dynamic modelling tools can deliver answers to the following questions:

  • What is the net value that a solar array or wind turbine contributes to the grid

  • When is the power used or not used?

  • When does it improve efficiency?

  • When and where is it ineffective and increases system congestion?

  • What is the actual price the asset owner should receive for that electricity at any time in each day?

  • What is the actual cost to serve at each consumer endpoint and how does the DER affect the cost?

What PowerRunner Provides

  • Identify locational impacts of load and DER on every system asset

  • Avoid overloading transformers and potential outages

  • Evaluate the locational impact of DER

  • Improve CAIDI SAIFI metrics

  • Identify unanticipated load increases

  • Use loading history on each transformer to evaluate expected loss-of-life

  • Identify optimal sizing for transformer replacement - right size new transformers to handle existing load and possible load growth

  • Use dashboards and alerts to identify transformers experiencing loading above the nameplate rating

  • Focus an analyst’s attention on worst case offenders by region or by feeder.

  • Identifying at-risk transformers

  • Create lists of transformers that can be used in replacement programs.

  • Maximizing usable life

  • Understand the impact of sudden load growth

  • Perform ‘what-if’ analysis to investigate strategies for managing new load

  • Identifying under-utilized transformers which could have additional load added to maximize the value of the asset

  • Make informed decisions with up-to-date information during storm restoration, car-pole accidents or routine pole maintenance


Use PowerRunner's Dashboard to

  • View geospatial mapping of transformer overloads

  • Provide a list of top overloaded transformers

  • Provide users with a spatial view of search results

  • Drill-downs from map or grid to a more detailed view of the transformer

  • Identify winding failure suspects

  • Provide a graphical view of load profile and voltage data

  • Empower operators to customize maps for their investigation needs of the moment

  • Transformer and substation representation with informative data pop-ups

  • Relationships between transformers and service points using network connectivity lines

  • Display layers and slider controls allow operators to modify how the data is filtered and represented geospatially

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