Grid Impact Model Resources for Utility Distribution Planning
The Grid Impact Model (GIM) resource page provides links to executive summaries, model examples, presentations, videos, and technical notes covering utility EV load forecasting, electrification analysis, distribution grid stress analysis, DSM, DER, VPP, and non-wires alternatives planning.
- Forecasts localized EV, electrification, customer growth, and weather-driven hourly load impacts.
- Supports ZIP, block group, neighborhood, and customer-level distribution planning analysis.
- Evaluates DSM, DER, managed charging, and virtual power plant strategies for peak and grid-risk mitigation.
- Provides utility planning resources for executives, engineers, consultants, and program managers.
Grid Impact Model Summary
The Grid Impact Model (GIM) is an Excel-based distribution stress-testing analysis system that uses information on actual identity-protected residential utility customers within block groups to assess load impacts of increased EV ownership, customer growth, electrification, and weather extremes on ZIP areas, block groups, neighborhoods, and individual customers with an AI-assisted customer digital twin model.
Model users can evaluate these challenges along with options for minimizing local grid impacts using detailed DSM and DER programs and strategies. An additional scenario option identifies potential load support available with virtual power plant (VPP) strategies.
The GIM simulates real-world localized grid behavior with intuitive tools for scenario testing, flexible inputs, and real-time visualization. The model makes complex hourly load modeling both accessible and actionable.
GIM Model Resources
Distribution Analysis, Forecasting, and Planning Support
The GIM model bridges the disconnect between high-level awareness of emerging distribution challenges and the detailed planning required to protect transformers, feeders, and substations. Model results turn broad trends into quantifiable, location-specific load effects along with analysis of the potential for utility programs to mitigate those load impacts and potentially support grid reliability with VPP programs.
Utility System Planning
- Identify areas where EV growth will stress feeders, transformers, and regulators.
- Develop timelines for upgrades before overloads occur.
- Model weather-driven peak impacts and resilience needs.
- Support distribution planning with ZIP, block group, and neighborhood-level forecasts.
- Guide siting of non-wires alternatives, microgrids, and storage.
- Provide data for budget planning, board reporting, and long-term load strategy.
Program Evaluations and Investment Decisions
- Quantify benefits of managed charging and load shifting.
- Support business cases for ADMS, DERMS, or time-series DMS tools.
- Prioritize SCADA, AMI analytics, and voltage management upgrades.
- Evaluate ROI of load control for HVAC, water heating, and EV charging.
- Provide defensible inputs for grid-modernization and resilience grants.
- Justify hosting-capacity tools, digital twins, and GIS model buildout.
- Help secure funding for software, sensors, and automation deployments.
Support for Existing Distribution Planning Tools
- Import EV growth as load multipliers or time-series profiles in distribution system analysis software.
- Map ZIP, block group, and neighborhood forecasts to feeders, transformers, or GIS service areas.
- Run unmanaged versus managed charging scenarios to test peak and voltage impacts.
- Prioritize capital upgrades using overload and hotspot forecasts.
- Apply weather-based load curves in time-series simulations.
- Layer water heater, heating, and AC load-control savings to show deferred upgrades.
- Use outputs in hosting-capacity screening and interconnection studies.
- Support screening even without full circuit models by linking loads to ZIP- and block-level transformer counts.
Grid Impact Model Resource FAQ
What Grid Impact Model resources are available?
Available resources include a summary introduction, a 1-minute executive video, an online viewer presentation, a primary Grid Impact Model web page, an example model session, and related notes on EV load forecasting, customer digital twins, and neighborhood load impacts.
Who is this resource page intended for?
The page is intended for utility executives, distribution planners, engineering consultants, DSM and DER program managers, and others evaluating EV load growth, electrification, and localized grid impacts.
How do these resources support EV load forecasting?
The linked materials explain how the Grid Impact Model forecasts localized EV adoption and hourly charging loads at ZIP, block group, neighborhood, and customer levels.
How do these resources support non-wires alternatives planning?
The resources show how DSM, DER, managed charging, and VPP strategies can be evaluated as options for reducing or shifting local loads before capital upgrades are required.