batteryopt 0.1.0

battery operation optimization

batteryopt is a battery operation optimization tool developed by Jakub Szcześniak and implemented by Samuel Letellier-Duchesne. The objective is to minimize the annual electricity costs of a battery-integrated PV system using a Mixed-Integer Linear Program (MILP). The algorithm is implemented using the pyomo library opening up the model to a large array of solvers (e.g.: Gurobi, GLPK, etc.).

Installation

conda create --name batteryopt python=3.7  # tested with 3.7, 3.8 and 3.9
conda activate batteryopt

git clone https://github.com/MITSustainableDesignLab/batteryopt.git
cd batteryopt
python setup.py install

Usage

Type batteryopt --help to access the command line options

Output

batteryopt outputs an Excel file with the model Variables for each time step of the year:

	t	tf	M	P_dmd	P_elec	P_pv	Buying	Charging	Discharging	E_s	P_charge	P_discharge	P_dmd_unmet	P_grid	P_pv_excess	P_pv_export
0	1	nan	nan	60536.5	0.0002624	0	1	0	0	20000	-0	-0	60536.5	60536.5	0	0
1	1	1	nan	60536.5	0.0002624	0	1	0	0	20000	-0	0	60536.5	60536.5	0	0
2	1	1	nan	60536.5	0.0002624	0	1	0	0	20000	-0	0	60536.5	60536.5	0	0
3	1	1	nan	60536.5	0.0002624	0	1	0	0	20000	-0	0	60536.5	60536.5	0	0
4	1	1	nan	60536.5	0.0002624	0	1	0	0	20000	-0	0	60536.5	60536.5	0	0

The column names are: