PV_self-consumption_api_client 0.1.2

PV_self-consumption API client

PV_self_consumption_client

Authors: Sébastien Gardoll, IPSL, CNRS / Sorbonne Université Olivier Boucher, IPSL, CNRS / Sorbonne Université

(c) 2024

Interface to call API PV_self_consumption_client for optimising solar PV self-consumption under constraints. Note that the license only applies to this interface and not to the API itself.

Installation

Option 1: Conda

1. Install miniconda;
2. Create a new conda environment;
3. Install the project dependencies.

Skip 1. if you already have a miniconda/anaconda distribution installed (which conda doesn't return an error).

Install miniconda

While installing, Miniconda asks you to initialize itself. If you choose to do so, it will add some instructions to your ~/.bashrc (shell configuration). Carefully choose the path of the Miniconda installation directory, as conda environment take some space and inodes. The following example is meant for Linux x86_64.

curl -sSL https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh > Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh

Conda environment creation

Let's create a conda environment called pvsc:

conda create -y -n pvsc 'python=3.12.*'

Install client

First activate the environment (as usual), then install the client with pip:

conda activate pvsc
pip install -U pv_self_consumption_api_client

Run client

In any directory:

pvsc -h

Option 2: PDM

PDM associates a Python virtual environmnent (venv) with a project described by a pyproject file.

Dependencies installation

Setup the project environment with PDM:

git clone https://github.com/OB-IPSL/PV_self_consumption_client.git
cd PV_self_consumption_client
pdm install

Run client

While in PV_self_consumption_client directory:

pdm pvsc -h 

Getting started

Note: Add pdm command before pvsc while in the source directory if you installed the client with pdm (option 2).

Generate example input files

pvsc example -p > params.yml
pvsc example -d > demand.csv

The example input files can be modified for your own usages.

Run optimization

Compute optimization then output in and also generate plots (-m option):

pvsc optimize -m params.yml demand.csv