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Model short-term market dispatch with unit commitment, renewables, storage, multi-carrier conversion, and more.

Optimize power flow in AC-DC networks using linearized KVL/KCL constraints with optional loss approximations.

Ensure system reliability by accounting for line outage contingencies under N-1 conditions.

Plan long-term infrastructure investments for generation, storage, transmission, and conversion with continuous or discrete options.

Co-optimize multi-period investments to design energy transition pathways with perfect foresight planning.

Solve large-scale problems sequentially with myopic foresight and dynamic updates across time horizons.

Two-stage stochastic programming for uncertainty handling with weighted scenarios and separate investment-dispatch decisions.

Explore alternative system designs with similar costs to understand trade-offs and decision flexibility.

Built-in support for CO₂ limits, subsidies, resource limits, expansion limits, and growth constraints.

Impose custom objectives, variables and constraints using Linopy for specialized requirements.

Support for wide range of LP, MILP, and QP solvers from open-source to commercial solutions.