Simulation environment · energy grid · redispatch
In this hour the market schedule sends more power from the windy north to the demand in the south than the line can carry. Cut the flow by redispatch: reduce generation in the north, raise it by the same amount in the south. Find the cheapest plan, then watch the 3D grid, the pylons and the charts react.
What is real and what is assumed: the hourly German wind series is real (SMARD, 12,961 hours). The two-zone grid, the share of wind sent north to south (20 %), the line limit (72 % of the scheduled flow), the plant limits and all prices are stylised assumptions. The 3D plants and pylons are illustrative. The problem has a provable optimum, so every plan can be graded.
| Option | Side | Max MW | Price EUR/MW | Your MW |
|---|
Real SMARD series. The dot is the hour you are looking at.
Scheduled north-south flow against the line limit. The gap is what redispatch must remove.
Before your plan, the limit, and after your plan.
EUR for this hour. Updates as you type.
The optimum uses the cheapest options first on each side.
Steps: cheapest to dearest on each side. The vertical line is the redispatch needed. The optimum buys everything left of it.
Press Play. The naive rule and the optimum are added up hour by hour.
Computed in Python (simulation/evaluate.py) with the exact linear-programme optimum. 1.0 = optimal.
| Rule | Valid plans | Mean score | Mean cost (EUR per hour) |
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