Hi, a good work! I have a question regarding the constraint formulation in LLM_as_optimizer_gpt.py. I see that the load constraint is set as 'generation >= the total demand'. However, usually power system requires a equality constraint so that the system can be balanced. May I ask if there are some issues in imposing a strict equality constraint?
def satisfy_load_constraints(thermal_output): if np.sum(thermal_output)>=400: return True else: return False
Thank you!
Hi, a good work! I have a question regarding the constraint formulation in LLM_as_optimizer_gpt.py. I see that the load constraint is set as 'generation >= the total demand'. However, usually power system requires a equality constraint so that the system can be balanced. May I ask if there are some issues in imposing a strict equality constraint?
def satisfy_load_constraints(thermal_output): if np.sum(thermal_output)>=400: return True else: return FalseThank you!