Integration of Resource/Transmission/Distribution Planning

MI Power Grid Optimizing Grid Investments & Performance Stamp

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Utility companies and stakeholders engage in separate processes to determine what upgrades to make to the electric resource mix, transmission system, and distribution system. Decisions made in each of these processes impact customer costs. Doing a better job of integrating these processes, with the goal of evaluating alternatives that provide the best value, will result in a more efficient system and lower costs for customers.


Actions to Date

  • Statewide Energy Assessment recommendations (U-20464):
    • Identify refinements to Integrated Resource Plan parameters related to forecasts of Distributed Energy Resources and reliability needs re: intermittent resources; work with Midcontinent Independent System Operator (MISO) on information sharing (Recommendation E-5)
    • Develop framework to evaluate non-wires alternatives in distribution plans/integrated resource plans; work with the Midcontinent Independent System Operator (MISO) on non-transmission alternatives analysis (Recommendation E-5)
    • Propose revisions to integrated resource plan modeling parameters/filing requirements to better accommodate transmission alternatives in integrated resource plans (Recommendation E-8.1)
    • Investigate opportunities to expand Michigan’s capacity import limit (Recommendation E-8.2)

Next Steps

  • MPSC Staff to convene a stakeholder workgroup looking at integration of planning efforts, to coordinate better alignment of electric distribution plans with integrated resource plans to develop cohesive, holistic plans and optimize investments considering cost, reliability, resiliency, and risk; make recommendations to MPSC within 1 year
  • MPSC Staff efforts to stay current on best practices for forecasting to support informed planning decisions and mitigate risk; areas of emphasis:
    • Energy waste reduction and demand response impacts
    • Distribution planning scenarios
    • Electric vehicle-related impacts on forecasting
    • Green pricing demand forecasts

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