Skip to main content

PyPI version PyPI status Docs deploy status

STEPSS for Python

Scripted power system dynamic simulation and AC power-flow analysis.

STEPSS (Static and Transient Electric Power Systems Simulation) is a power system simulation platform for dynamic studies of electrical grids, developed by Dr. Petros Aristidou (Cyprus University of Technology) and Dr. Thierry Van Cutsem (University of Liège).

STEPSS is delivered in two editions, which drive the same simulation engines and read the same data files:

  • STEPSS for Python, this package. pip install stepss, then script simulations from Python or a Jupyter notebook.

  • STEPSS for Java, a desktop application. A single stepss.jar with a graphical interface, published on the releases page.

Neither is a wrapper around the other: they are two front ends onto the same Fortran engines, and a case built in one runs unchanged in the other. Pick this one to automate, sweep parameters, or work inside the scientific Python stack; pick the Java edition for interactive work, or for the model-building and curve-viewing tools it carries that this edition does not (see Choosing an edition).

What this edition bundles

pip install stepss is self-contained: no separate solver installation, no compiler, no licence server.

  • RAMSES (RApid Multithreaded Simulation of Electric power Systems), the dynamic simulator. It simulates the evolution of a power system under the phasor approximation, using Backward Euler, Trapezoidal or BDF2 integration with OpenMP parallelism.

  • Helios, the AC power-flow engine, solving by Newton-Raphson in polar coordinates. Exposed through the stepss.helios module (see Helios Power-Flow Interface below).

Pre-compiled shared libraries for Linux, Windows and macOS ship inside the wheel.

Choosing an edition

Two capabilities live only in the Java edition, because they are separate executables rather than libraries:

  • CODEGEN, which translates user-written model descriptions into Fortran 2003 and compiles them into a custom simulator. Writing your own exciter, governor or injector needs the Java edition or the CODEGEN toolchain directly.

  • DYNGRAPH, the interactive trajectory viewer. This edition reads trajectories into NumPy instead, which is usually what you want from Python.

Everything else, running dynamic simulations and power flows against the same engines and data files, is available here.

Key Features

  • Complete simulation workflow - define cases, run simulations, pause/continue, and extract results, all from Python

  • Runtime interaction - query bus voltages, branch flows, and component observables while paused; inject disturbances on-the-fly

  • Trajectory post-processing - extract and plot time-series results from Fortran binary trajectory files

  • Parameter sweeps - script multiple simulations with varying parameters or disturbances

  • Eigenanalysis support - export system Jacobian matrices for small-signal stability analysis

  • AC power flow - the stepss.helios module runs Helios power flows: solve, modify with redispatch, N-1 contingency screening, and file exports

  • Shared data files - the same .dat, .dst and .obs files run in the Java edition, so a case can move between the two

  • Scientific Python integration - works natively with NumPy, SciPy, Matplotlib, and Jupyter

Installation

Install stepss and all recommended dependencies via pip:

pip install jupyter ipython stepss

Required dependencies (matplotlib, scipy, and numpy) are installed automatically.

Minimal installation (no plotting or notebook support):

pip install stepss

Optional: Install Gnuplot to enable real-time observable plots during simulation. stepss will still work without it, but runtime plots will be disabled.

Renamed from PyRAMSES

This package was published as pyramses up to version 3.58. Existing code keeps working: pip install pyramses now installs a shim that forwards to this package. New code should use import stepss.

Linux System Prerequisites

On Linux, the following system libraries must be installed before running stepss:

sudo apt install libopenblas0 libgfortran5 libgomp1

These packages provide:

  • libopenblas0 - OpenBLAS BLAS/LAPACK routines used by the solver

  • libgfortran5 - GNU Fortran runtime required by the Fortran components of RAMSES

  • libgomp1 - OpenMP runtime for multi-core parallel execution

On most desktop Linux distributions these are already present. If stepss fails to import with a shared-library error, install the packages above and retry.

macOS System Prerequisites

On macOS, the following system libraries must be installed before running stepss:

brew install openblas gcc

These packages provide:

  • openblas - OpenBLAS BLAS/LAPACK routines used by the solver

  • gcc - GNU Fortran (libgfortran) and OpenMP (libgomp) runtimes required by the Fortran components of RAMSES

macOS is supported on Apple Silicon (arm64) only: both the bundled RAMSES and Helios binaries are arm64. If stepss fails to import with a shared-library error, install the packages above and retry.

Platform Support

Platform

Binaries

Notes

Windows

ramses.dll, helios_api.dll

Primary platform, full support

Linux

ramses.so, libhelios_api.so

Full support

macOS

ramses.so, libhelios_api.dylib

Apple Silicon (arm64) only; RAMSES additionally needs Homebrew openblas/gcc (see macOS System Prerequisites)

The free version is limited to 1000 buses and 2 OpenMP cores. See the License page for full terms.

Quick Start

import stepss

# 1. Define the test case
case = stepss.cfg()
case.addData('dyn.dat')        # dynamic model data
case.addData('volt_rat.dat')   # power-flow initialisation
case.addData('settings.dat')   # solver settings
case.addDst('fault.dst')       # disturbance sequence
case.addObs('obs.dat')         # define observables to record
case.addTrj('output.trj')      # trajectory output file

# 2. Run simulation
ram = stepss.sim()
ram.execSim(case)              # run to completion

# 3. Extract and plot results
ext = stepss.extractor(case.getTrj())
ext.getBus('1041').mag.plot()  # bus voltage magnitude
ext.getSync('g1').S.plot()     # generator rotor speed

For interactive usage, pause/continue and on-the-fly disturbance injection is supported:

ram = stepss.sim()
ram.execSim(case, 0.0)                        # initialise, paused at t=0
ram.addDisturb(10.0, 'BREAKER SYNC_MACH g7 0')  # schedule generator trip
ram.contSim(ram.getInfTime())                 # run to end of time horizon
ram.endSim()

Helios Power-Flow Interface

Helios is the AC power-flow engine both editions use, exposed here through the stepss.helios module. Unlike the RAMSES classes, this interface uses PEP 8 snake_case naming.

from stepss.helios import HeliosSession

with HeliosSession() as pf:
    pf.load_file('network.dat')
    pf.solve()

    v, angle = pf.get_bus_voltage('1041')      # one bus
    v_all, angle_all = pf.get_bus_voltages()   # all buses (NumPy arrays)

    # modify the system and re-solve with redispatch
    pf.trip_branch('1042-1044')
    pf.change_load('1041', 50.0, 10.0)         # +50 MW, +10 Mvar
    pf.apply_changes()

    # N-1 contingency screening
    for result in pf.run_contingencies(branches=True, generators=True):
        print(result.name, result.accepted, result.violations)

    # export the operating point (e.g. as RAMSES initial conditions)
    pf.write_voltrat('volt_rat.dat')

Runnable examples live in examples/helios/.

Main Classes

Class

Description

stepss.cfg

Defines a test case: data files, disturbance file, output files, observables, and runtime options.

stepss.sim

Runs simulations. Supports start/pause/continue, runtime queries, and on-the-fly disturbance injection.

stepss.extractor

Extracts and visualises time-series results from trajectory (.trj) files produced by a simulation.

stepss.helios.HeliosSession

Runs AC power flows with the Helios engine: load, modify, solve, contingency screening, and file exports.

Bundled Binaries Are CI-Managed

The native libraries under src/stepss/libs/ and the version record in src/stepss/_bundled.py are written by automation, not by hand. When RAMSES or Helios publishes a release, a workflow refreshes the affected libraries, bumps the patch version, and publishes a new stepss release only after the full test suite (including the Nordic voltage-collapse regression) passes on Linux, Windows and macOS.

Check what a given release bundles with:

python -c "import stepss; print(stepss.__ramses_version__, stepss.__helios_version__)"

Contributors should not edit those paths directly; a manual change is overwritten by the next sync.

Documentation

Full documentation is available at https://stepss.sps-lab.org/python/.

Support:

License

stepss (the Python wrapper) is distributed under the Apache License 2.0 - see LICENSE.rst. Copyright © Petros Aristidou.

The RAMSES solver (the dynamic library bundled in this package) is proprietary software owned by the University of Liège and is distributed under the Academic Public License for the use of STEPSS: free for non-commercial use (teaching, academic research, personal purposes), with a limit of 1000 buses and 2 CPU cores. For commercial use or larger models, contact the authors. See the STEPSS License page for full terms.

The STEPSS-Helios power-flow library (libhelios_api, also bundled in this package and used by stepss.helios) is the property of Dr. Petros Aristidou, distributed under the STEPSS-Helios Academic Public License: free for non-commercial use; commercial use requires a license (info@sps-lab.org). See the NOTICE file for details.

Authors

Developed and maintained by the Sustainable Power Systems Laboratory (SPS-L) at the Cyprus University of Technology, under the direction of Dr. Petros Aristidou.

  • Dr. Petros Aristidou - Cyprus University of Technology

  • Dr. Thierry Van Cutsem - Emeritus, University of Liège

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stepss-3.59.tar.gz (14.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

stepss-3.59-py3-none-any.whl (14.3 MB view details)

Uploaded Python 3

File details

Details for the file stepss-3.59.tar.gz.

File metadata

  • Download URL: stepss-3.59.tar.gz
  • Upload date:
  • Size: 14.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for stepss-3.59.tar.gz
Algorithm Hash digest
SHA256 eaa08e45b95096f0791c3c79051b74d3123ba573aca06a0003674cac5f9cab13
MD5 2b4a3d04678f1b856a3125983c75aec6
BLAKE2b-256 0d6eea92e09deaf7af3c04864e070e370fe5aea137e8535a8a40bca793d8bd15

See more details on using hashes here.

Provenance

The following attestation bundles were made for stepss-3.59.tar.gz:

Publisher: sync-upstream-release.yml on SPS-L/stepss-python-ui

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file stepss-3.59-py3-none-any.whl.

File metadata

  • Download URL: stepss-3.59-py3-none-any.whl
  • Upload date:
  • Size: 14.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for stepss-3.59-py3-none-any.whl
Algorithm Hash digest
SHA256 c9aec6c5ec22be1433be9ca1121b112634de388ee59c247df386a2c9c80eae6e
MD5 2ad994bb5849739187a0ba4627c1176d
BLAKE2b-256 2507e7dd2bff0721265dd589fd91ea2febb5cf5bcad4c979b85d821d313ab441

See more details on using hashes here.

Provenance

The following attestation bundles were made for stepss-3.59-py3-none-any.whl:

Publisher: sync-upstream-release.yml on SPS-L/stepss-python-ui

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page