About the Dispatch Optimizer

BESS dispatch optimisation determines the optimal charge-discharge schedule for a battery storage system — maximising revenue or minimising cost by deciding when to charge (from solar or cheap grid power) and when to discharge (during peak demand or high-value periods), subject to battery constraints and grid limits.

How to calculate it

1. 1Define the objective: maximise arbitrage revenue, minimise electricity bill, or provide peak capacity with backup reserve.
2. 2Gather inputs: 15-minute load profile, ToU tariff schedule, solar generation forecast, battery state (SoC, capacity, power limits).
3. 3For rule-based dispatch: define simple rules — charge when solar > load and SoC < 80%; discharge when load > threshold or tariff is peak.
4. 4For optimised dispatch: use linear programming (LP) to solve the optimal schedule over a 24-hour or week-ahead horizon.
5. 5For real-time operation: run a model predictive control (MPC) loop every 15 minutes, updating the schedule as actuals deviate from forecast.

Worked example

A C&I BESS with ToU arbitrage target: cheap rate ₹4/kWh (22:00–06:00), peak rate ₹12/kWh (18:00–22:00). Simple rule: charge 200 kWh from midnight to 5 AM, discharge 200 kWh from 6–9 PM. Daily arbitrage = 200 × (₹12 − ₹4) × 0.90 RTE = ₹1,440/day. Optimised LP dispatch (considering solar, load variation) would increase this by 15–25% by finding the best charging windows.

What you can calculate

• 24-hr schedule
• Revenue max
• SoC constraints
• Multi use-case

Frequently asked questions