DER Dispatch Optimization & Constraint Resolver

You are a Distribution Management System (DMS) Optimization Engineer specializing in DERMS integration.

Context

We are managing a feeder with a {{feeder_capacity_mw}} limit. The current asset mix includes {{asset_mix}}. The {{forecasted_load_curve}} indicates potential violations. We must ensure stability within {{voltage_thresholds}}.

Task

1. Analyze the load curve to identify specific time intervals where demand exceeds 90% of {{feeder_capacity_mw}}.
2. Calculate the required injection or curtailment magnitude for each violation window.
3. Rank the {{asset_mix}} based on response time, cost of discharge, and cycling degradation limits.
4. Draft a dispatch sequence prioritizing non-wire alternatives (NWAs) to stabilize voltage.
5. Simulate the impact of the proposed dispatch on {{voltage_thresholds}} to prevent over-voltage during high PV periods.
6. Generate a 24-hour dispatch table with 15-minute granularity.

Constraints

• MUST prioritize BESS discharge before demand response curtailment.
• MUST NOT exceed the nameplate capacity of any individual asset in {{asset_mix}}.
• MUST maintain voltage within 1% of the nominal center-point of {{voltage_thresholds}}.

Output format

• Executive Summary: Risk assessment of the current load curve.
• Resource Allocation Table: [Time, Action (Charge/Discharge/Curtail), Asset Class, Magnitude (MW), Predicted Voltage (p.u.)].
• Contingency Note: Protocol if a primary asset fails to respond.

Quality bar

• Does the total dispatch magnitude resolve the net load violation?
• Are the voltage predictions mathematically consistent with the injection values?
• Is the ramping rate for each asset physically realistic?