PyFlow ACDC

Welcome to PyFlow ACDC’s documentation!

This is a python-based tool for the design and analysis of hybrid AC/DC grids

PyFlow ACDC is a program worked on by ADOreD Project.

This project has received funding from the European Union’s Horizon Europe Research and Innovation programme under the Marie Skłodowska-Curie grant agreement No 101073554.

This documentation is under active development if any questions arise please contact the authors.

Introduction:

• Installation
  • Requirements
  • Install from PyPI
  • Install from source
  • Making Changes
  • Additional Dependencies
• Usage Guide
  • Creating a Grid
  • Adding Components
  • Running a Power Flow
  • Running an Optimal Power Flow
• Citing PyFlow ACDC

API Documentation

Grid Management:

• System Modelling
  • AC System Modelling
    • AC node
    • AC branch
    • Transmission Expansion Planning Modelling
  • DC System Modelling
    • DC node
    • DC line
    • DC line expansion
    • DCDC converter
  • ACDC Converter
  • Renewable Source
  • Generator
  • Price Zone
• Grid Creation
  • Core Grid Class
    • Creating a Grid
    • Create Grid From Data
    • Create Grid From Matpower
    • Extend Grid From Data
    • Reset All Classes
    • Change Base Power
    • Create Sub Grid
• CSV files for importing data
  • Required CSV Files
    • Data in per unit (pu)
    • Data in Ohms
    • Data in Real values
• Grid Modifications
  • Add Grid Components
    • Add AC Node
    • Add AC Line
    • Line sizing
    • Add DC Node
    • Add DC Line
    • Add AC/DC Converter
    • Add Generator
    • Add Renewable Source
    • Add Price Zone
    • Assign Node to Price Zone
  • Line Modifications
    • Change Line to Expandable
    • Change Line to Reconducting
    • Change Line to Transformer
• Results
  • Class Attributes
    • Results
  • Class Methods
    • Options
    • All
    • AC Specific Results
    • DC Specific Results
    • Optimization Results
    • Price Zone optimization
    • Treansmission expansion
    • Other Results

Power Flow Analysis:

• Power Flow Module
  • Running the Power Flow
    • Power_flow()
  • AC Power Flow
    • Running the AC Power Flow
  • DC Power Flow
    • Running the DC Power Flow
  • Sequential AC/DC Power Flow
    • Running the Sequential AC/DC Power Flow
• Optimal Power Flow Module
  • AC/DC Hybrid Optimal Power Flow
    • Running the OPF
    • Creating the OPF model
    • Objective Functions
    • Solvers

Time Series & Analysis:

• Time Series Modifications
  • Renewable Source Zone
    • Add Renewable Source Zone
    • Assign Renewable to Zone
  • Price Zone
  • Time Series data
    • Add Time Series
    • Accepted types
    • Data format
• Time Series Module
  • Sequential AC/DC Time Series Power Flow
    • Cross-sectional time series
  • Optimal Power Flow Time Series
    • Cross-sectional time series
    • Parallel cross-sectional time series
  • Data handling
    • Statistical Analysis
    • Results Export
• Market Coefficients Module
  • Price Zone Coefficient Analysis
    • Obtain price zone coefficients
    • Export data to csv
    • Visualization
  • ENTSO-E Data Cleaning

Transmission Expansion Planning:

• Transmission Expansion Planning Module
  • Transmission Expansion Planning
    • Running one state transmission expansion planning
    • Running multiple scenario based transmission expansion planning
    • Transmission Expansion Planning objectives
    • Export Results

Visualization & Export:

• Plotting Module
  • Time Series
    • Time series results
    • Time series probability
  • Network Graph Visualization
    • Full grid visualization as a network graph
    • Neighbor Graph
    • Saving the Network Graph
• Dashboards
  • Interactive Dashboard
    • run_dash()
• Mapping
  • Interactive map
    • plot_folium()
• Export Files Module
  • Grid Data Export
  • MATLAB Export
    • save_grid_to_matlab

Quick Start

Basic installation:

pip install pyflow-acdc

Basic usage:

import pyflow_acdc as pyf

#Use pre saved grids to familiarize yourself with the package
[grid,res]=pyf.PEI_grid()

pyf.ACDC_sequential(grid,QLimit=False)


res.All()

Indices and tables

• Index

• Module Index

• Search Page