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Systems","sub_category":"Energy System Modeling Frameworks","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"![dispaset logo](https://raw.githubusercontent.com/energy-modelling-toolkit/Dispa-SET/master/Docs/figures/logo.png)\n===================\n ![Documentation](https://img.shields.io/badge/python-2.7,%203.7-blue.svg) [![License](https://img.shields.io/badge/License-EUPL--1.2-blue.svg)](https://opensource.org/licenses/EUPL-1.2) [![Documentation](https://readthedocs.org/projects/dispa-set/badge/?branch=master)](http://dispa-set.readthedocs.io/en/latest/) [![Build Status](https://travis-ci.org/energy-modelling-toolkit/Dispa-SET.svg?branch=master)](https://travis-ci.org/energy-modelling-toolkit/Dispa-SET)\n\n### Description\nThe Dispa-SET model is a unit commitment and dispatch model developed within the “Joint Research Centre” and focused on the balancing and flexibility problems focusing on the European context. It is written in GAMS with advanced input/output data handling and visualization routines in Python.\n\nThree different formulations are available offering a trade-off between accuracy and computational complexity ( Linear Programming (LP), Mixed-Integer Linear Programming (MILP)). This allows\n to model a power system at any level of detail e.g. micro-grid, region, country, continent. A Pan-European scenario is included with the model as of version 2.3.\n \n### Features\nThe model is expressed as an optimization problem. \nContinuous variables include the individual unit dispatched power, the shedded load and the curtailed power generation. The binary variables are the commitment status of each unit. The main model features can be summarized as follows:\n\n- Minimum and maximum power for each unit\n- Power plant ramping limits\n- Reserves up and down\n- Minimum up/down times\n- Load Shedding\n- Curtailment\n- Pumped-hydro storage\n- Non-dispatchable units (e.g. wind turbines, run-of-river, etc.)\n- Start-up, ramping and no-load costs\n- Multi-nodes with capacity constraints on the lines (congestion)\n- Constraints on the targets for renewables and/or CO2 emissions\n- Yearly schedules for the outages (forced and planned) of each units\n- CHP power plants and thermal storage\n\nThe demand is assumed to be inelastic to the price signal. The MILP objective function is therefore the total generation cost over the optimization period. \n\n### Quick start\n\nIf you want to download the latest version from github for use or development purposes, make sure that you have git and the [anaconda distribution](https://www.anaconda.com/distribution/) installed and type the following:\n\n```bash\ngit clone https://github.com/energy-modelling-toolkit/Dispa-SET.git\ncd Dispa-SET\nconda env create  # Automatically creates environment based on environment.yml\nconda activate dispaset # Activate the environment\npip install -e . # Install editable local version\n```\nThe above commands create a dedicated environment so that your anaconda configuration remains clean from the required dependencies installed.\n\nAt this point, it is necessary to make sure that the GAMS API is properly installed in the newly created environment:\n- Make sure to define an evironment variable GAMSDIR pointing to the gams installation folder (e.g. C:\\GAMS\\win62\\47.7.0)\n- For GAMS version 45 and higher, the api can be installed directly from pip, replacing the x values below with the installed version of gams:\n```bash\npip install gamsapi==4x.x.x\n```\n- For older version of gams, the API can be compiled from the apifile/Python directory in the gams installation folder. The the path to the library must then be added to the PYTHONPATH environment variable. For example, in linux:\n```bash\ncd /path/to/gams/apifiles/Python/api_310\npython gamssetup.py install\nexport PYTHONPATH=/path/to/gams/apifiles/Python/gams:/path/to/gams/apifiles/Python/api_310\n```\n- For very old versions of GAMS (e.g. 24.x, 25.x), it is possible to install the old low-level api from pip. Note that if this does not work, the api must be de-installed and compiled from the gams apifile folder.\n```bash\npip install gdxcc, gamsxcc, optcc\n```\n\nTo check that everything runs fine, you can build and run a test case by typing:\n```bash\ndispaset -c ConfigFiles/ConfigTest.xlsx build simulate\n```\n\n### Test suite\n\nA comprehensive automated test suite lives in the `tests/` folder. It\ncovers low-level helpers (dictionary consistency, string handling,\nGDX I/O), the Dispa-SET preprocessing layer (data validation,\nconfiguration loading, boundary sectors), the full build+solve+read\npipeline on tiny mock systems (LP, MILP, boundary sector, MTS, CHP,\ncurtailment), the postprocessing/plot APIs, several failure paths\n(invalid configs, malformed power-plant data) and a 3-day end-to-end\n\"ultimate\" run mirroring the legacy `scripts/test_build_solve_display.py`.\n\nThe whole suite is designed to run in **under one minute** with the\n`dispaset2` conda environment.\n\n**Running the full suite**:\n\n```bash\nconda activate dispaset2\npython tests/run_all.py\n```\n\nThis produces a Markdown report at `tests/output/TEST_REPORT.md` and a\nmachine-readable summary at `tests/output/test_report.json`.\n\n**Running individual groups or files**:\n\n```bash\npytest tests/unit                         # fast, GAMS-free\npytest tests/integration                  # build/solve mini cases\npytest tests/failure                      # checks for clean error msgs\npytest tests/ultimate                     # full pipeline (3 days)\npytest tests/integration/test_solve_lp.py # a single test file\npython  tests/integration/test_solve_lp.py # standalone, no pytest\n```\n\nEvery test file is documented with a docstring describing what it\nchecks and how to run it. **Run the suite after every code change.**\n\nA complete description of the suite layout and a roadmap for further\ntest additions live in [`Docs/test_suite.md`](Docs/test_suite.md).\n\n### Documentation\nThe documentation and the stable releases are available on the main Dispa-SET website: http://www.dispaset.eu\n \n### Get involved\nThis project is an open-source project. Interested users are therefore invited to test, comment or [contribute](CONTRIBUTING.md) to the tool. Submitting issues is the best way to get in touch with the development team, which will address your comment, question, or development request in the best possible way. We are also looking for contributors to the main code, willing to contibute to its capabilities, computational-efficiency, formulation, etc. Finally, we are willing to collaborate with national agencies, reseach centers, or academic institutions on the use on the model for different data sets relative to EU countries.\n\n### License\nDispa-SET is a free software licensed under the “European Union Public Licence\" EUPL v1.2. 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