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metadata
title: Co-Study4Grid Game
emoji: 
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false
license: mpl-2.0

Co-Study4Grid — Game Mode

A timed, scored power-grid contingency game built on Co-Study4Grid. Each study is a grid state with an N-1 line outage that pushes a line past 100 % loading. Your job: bring every monitored line back under 100 % with at most 3 remedial actions before the per-study timer runs out, then move to the next study.

This Space boots straight into the game (the VITE_GAME_MODE=1 build flag), so there is nothing to configure — pick or tweak the study list and play.

How to play

  1. Configure — name the session, set the per-study timer and the action cap (≤ 3), and review the ordered study list. It is pre-filled with a warm-up tour of the bundled PyPSA-EUR France 225/400 kV grid; add more presets or custom studies as you like.
  2. Play — a HUD shows the current study, a live countdown, your action counter (X/3) and the best resulting line loading. Explore the network, simulate actions, and star the ones you commit to. Click Next study → (or let the timer expire) to advance.
  3. Results — a per-study table plus your final score, with ⬇ JSON (Codabench) and ⬇ CSV exports. Submit the JSON to the matching Codabench competition to be ranked.

Scoring

Per study (0–100): 60·R + 25·R·A + 15·R·TR rewards remediation (worst line back under 100 %), A rewards using fewer actions, T rewards speed. Session score is the mean across studies. The in-browser scorer is a twin of the Codabench Python scorer, locked by unit tests on both sides.

One player per instance

The backend keeps a single active study in memory (module-level singletons), so one running Space serves one player at a time. For multiple players, use the Duplicate this Space button (top-right) — each duplicate is an isolated instance. A genuinely concurrent multi-player deployment would need the backend refactored to be session-scoped; see the repo's deployment notes.

Resources

Heavy scientific stack (pypowsybl + a JVM-free native lib, grid2op, pandapower, lightsim2grid). The free CPU tier (2 vCPU / 16 GB) handles the bundled small and fr225_400 grids; first load after a cold start is slow while the container boots. Storage is ephemeral — game results are downloaded client-side, so nothing important lives on the Space disk.