Microgrid AI Manager

Day-Ahead Optimization using Dynamic Programming (15-min Resolution)

📖 View Documentation

Live Status

00:00
Time
50%
Battery SoC
+$0.00
Cumulative Profit
-
Current Grid Power
System Specs:
• 100 kWh Battery Storage
• 50 kW Max Charge Rate
• 50 kW Wind Turbine
• 96 Decision Steps (15m)
System Status
🏭 GRID 0 kW 🌬️ 0 kW 🏠 0 kW 🔋 BAT 50%
💸 Market & Forecast
🔋 Battery & Asset Schedule

Control Theory & Physics

The AI Controller solves the Bellman Equation to find the optimal policy $\pi^*(x)$ that minimizes cost over the horizon:

$$ J(x_t) = \min_{u_t} \left\{ C(x_t, u_t) + J(x_{t+1}) \right\} $$

Subject to the Power Balance Equation:

$$ P_{grid} + P_{renewable} + P_{battery} = P_{load} $$

Where $u_t$ is the battery action and $x_t$ is the State of Charge (SoC).