power-generation#

Battery Energy Storage System (BESS) Evaluation Model#

bess.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: This optimization model determines the optimal hourly operation of a grid-connected battery and solar PV system to maximize total value from energy savings, demand reduction, and grid services over a one-year horizon. The mixed-integer linear program captures the complex interplay between facility load, equipment constraints, and multiple revenue streams to produce a profit-maximizing operational schedule.

Capacity expansion of power generation#

capacity_expansion.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Models the extensive form of a deterministic multi-stage capacity expansion problem. In this model we can have multiple resources of the same type which have identical properties. The model can be further developed into a stochastic one.

Hydrothermal Scheduling Problem with Conic Programming#

Power Generation Portfolio Optimization#

generation_portfolio.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Power generation portfolio optimization to manage several assets and resources.

Unit Commitment for Electrical Power Generation#

unit_commitment.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: This notebook illustrates the power generation problem using AMPL. The original version featured the Gurobi solver. By default, this notebook uses the HiGHS and CBC solvers.