Unit Commitment with Renewable Curtailment

Educational optimization models for unit commitment in a renewable-rich microgrid, with base and photovoltaic-curtailment formulations.

Contents

File	Purpose
unit_commitment.py	Base mixed-integer unit-commitment formulation with PV, wind, and energy storage.
unit_commitment_with_curtailment.py	Historical PV-curtailment formulation.
preprocess_kpx_data.py	Statistics and plots for KPX PV, wind, and load data.
20kW_PV.xlsx, 80kW_PV.xlsx, WT.xlsx, Load.xlsx	Spreadsheet inputs used by the base formulation.
KPX_*.csv	Historical PV, wind, and load source series.

Requirements

• Python 3.8 or later
• cvxpy, numpy, pandas, matplotlib, pulp, scipy, and openpyxl
• A mixed-integer solver supported by CVXPY; the base script explicitly requests MOSEK

python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install -r requirements.txt
python unit_commitment.py

The base script expects the four tracked spreadsheet inputs in the repository root. The curtailment script references 200kW_PV.xlsx and 600kW_PV.xlsx, which are not currently tracked; it is therefore not a reproducible entry point until those inputs are documented or the script is reconfigured.

Data notes

KPX-derived input series require source, date, units, and redistribution-permission review before public repackaging. Existing input workbooks are retained unchanged in this documentation branch.

Cleanup status

This branch normalizes the three root Python filenames while retaining historical input data unchanged. Data-file renaming and structural moves will follow a tested path map; no historical material is removed.

License and citation

A reuse license and citation guidance will be added after the intended reuse terms are chosen.