Integrating Grid Service and Thermal Constraints with LLM-Assistance

Elaborate on how you would model specific grid ancillary services (e.g., frequency regulation, capacity firming) and thermal energy provision within your MILP. Use Semantic Kernel to integrate Llama 3.3 70B. Provide a prompt to Llama 3.3 that asks it to interpret a complex grid code excerpt (e.g., specific ramp rates, minimum/maximum dispatch duration for a grid service) or a thermal demand profile. Demonstrate how Llama's response can be used to generate or refine specific MILP constraints or parameters programmatically. Show how these derived constraints are incorporated into your Pyomo model.