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Operations Planning Mitigation

Senior power-engineer playbook for planning and operations optimization problems. Use whenever Egret or PyPSA studies are infeasible, reserve-deficient, congested, too expensive, or heavily curtailed — including escalations from a tool skill's OPF, unit-commitment, or expansion run. Triggers on "OPF infeasible", "not enough reserve", "too much curtailment", or "why is this so expensive". Gives corrective actions — data fixes, simpler screening solves, flexibility, congestion relief — rather than only reporting optimization output.

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Operations and planning mitigation

Start with the failed or unsatisfactory optimization result and the constraint set that caused it.

Preferred action order

  1. Fix data quality first: ramps, minimum output, up or down times, reserve requirements, network limits, and time-series assumptions.
  2. Solve a simpler screening case before a larger one: DC before AC, dispatch before unit commitment, operations before expansion.
  3. Add flexibility: storage, demand response, fast-start units, or revised reserve products.
  4. Relieve congestion with topology, transmission expansion, or better siting.
  5. Relax constraints or add slack variables only with explicit penalties and a clear explanation.

Working rules

  • Do not call a system infeasible before checking data consistency.
  • Separate economic congestion from physical AC infeasibility.
  • Validate promising fixes in an AC tool when voltage or reactive limits matter.

Deliver

  • The main binding constraints or infeasibility cause.
  • The best near-term operational fix.
  • The longer-term planning measure if the issue persists.

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