404milan
commented
6 months ago Description of repository
Optimize Energy Allocation Function
The single Python function, optimize_energy_allocation, which is found in the optimization.py file, uses linear programming to optimize the allocation of energy from different sources to minimize cost.
Inputs
The function takes three inputs:
Pwind: A list of available wind power for each hour of the day.Ppv: A list of available photovoltaic (solar) power for each hour of the day.Load: A list of the load or energy demand for each hour of the day.
Variables
It defines three sets of variables, x_wind, x_pv, and x_fuel_cell, representing the amount of energy allocated from wind, solar, and fuel cell sources respectively for each hour of the day.
Objective Function
The objective of the function is to minimize the total cost of energy, which is calculated as the sum of the cost of energy from each source for each hour. The costs per unit of energy from wind, solar, and fuel cell are assumed to be 0.4, 0.35, and 0.9 respectively.
Constraints
The function imposes constraints to ensure that the total energy allocated meets the load demand for each hour (x_wind[i] + x_pv[i] + x_fuel_cell[i] >= Load[i]) and that the energy allocated from wind and solar does not exceed the available power (x_wind[i] <= Pwind[i] and x_pv[i] <= Ppv[i]).
Solution
The function solves the linear programming problem and returns the optimal energy allocation from each source for each hour of the day.
This function could be used in a microgrid management system to optimally allocate energy from different sources in order to minimize cost while meeting the energy demand. It assumes that the available power from wind and solar and the load demand are known for each hour. The function uses the PuLP library for Python to define and solve the linear programming problem.
Tests
- [x] License exists
- [ ] Create a fork and start a pull-request
- As both the
Run tests(pytest.yml) andRuff(ruff.yml) Workflows fail in the upstream repository, I did not have to edit the code in order to bring the workflows to failure in both cases. The pull request was thereby declined as my fork didn't contain any changes.
- As both the
- [ ] Pytests fails as expected
- As stated above: The
Ruff(ruff.yml) Workflow fails in the upstream repository.
- As stated above: The
- [ ] Ruff linter fails as expected
- As stated above: The
Run tests(pytest.yml) Workflow fails in the upstream repository.
- As stated above: The
Please review, @404milan