Formulate and Solve BESS Optimization Model

implementationChallenge

Prompt Content

Develop a Mixed-Integer Linear Programming (MILP) model to determine the optimal charge/discharge schedule for the BESS. The objective function should maximize profit, while constraints must include BESS capacity limits, power limits, state-of-charge (SOC) boundaries, round-trip efficiency, and potentially a simplified degradation cost. Use a Python-based optimization library (e.g., Pyomo with a commercial solver like Gurobi/CPLEX or open-source CBC) to implement and solve your model. Integrate your price forecasts as inputs to this optimization.

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