Power Grid Model

Power Grid Model logo

High-performance library for distribution power system analysis.

Power Grid Model is a high-performance Python/C++ library for steady-state distribution power system analysis.

The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs) and grid providers. Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.

Project Lifecycle Stage
Incubation

Project Special Interest Group
Grid Simulation and Modeling

Power Grid Model provides a calculation engine that is increasingly essential for operators in this new environment. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.

 

Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.

Power Grid Model offers an independent open technology base that speeds and simplifies development of critical Power System technologies for DSO’s and related organizations.

Power Grid Model Benefits

Open Source Business Benefits

  • Reduced project time and cost leveraging with field-proven Open Source components
  • Rapid, relevant and ongoing innovation through open, community-driven development
  • Shared community learning and best practice

Technical Benefits

  • Standards-based speeding development, implementation and integration with broader systems
  • Unrivalled performance through efficient C++ implementation, native shared memory multi-threading and support for parallel computing
  • Ensured accuracy with integrated unit testing and validation test
  • Optimized algorithms to capture the true characteristics of the distribution grid
  • Full support of three-phase asymmetric calculation

Features

  • Power system calculation functionalities: power flow, state estimation, short circuit
  • Linear methods available
  • Symmetric and asymmetric calculation
  • High-performance implementation in C++ with native parallelization
  • API (Application Programming Interface) in Python and C
  • Cross-platform

Open Source Community

Hosted by the Linux Foundation Energy, The Power Grid Model is now a vibrant Open Source project with a diverse, active and growing community, consisting of DSO’s, universities, research institutes and commercial parties.

The project is constantly evolving through a vibrant community-driven development process, with future scope to extend the existing libraries and develop more complete open-source applications. As part of this secure ongoing development, continuous validation is conducted through a CI pipeline in GitHub Actions.

Through the community, field validation of the library has been performed against the Power Grid Model reference models in over 80 test cases.

Architecture

The project consists of two main libraries: power-grid-model and power-grid-model-io.

power-grid-model

The core power-grid-model library is the main calculation engine, optimized for speed, to support real-time modelling, machine learning and powerful predictive analytics. Written in highly efficient C++, the library also offers native shared-memory multi-threading to enable parallelization in batch calculations.

A choice of C-API (with dynamic shared object) and a user-friendly Python API offers flexibility for developers. While the library runs across platforms including Windows (x64), Linux (x64/arm64), and macOS (x64/arm64), and publishes binary Python packages in official PyPI.

The calculation core is a C++ header only library. This is wrapped by a C-API providing direct access with dynamic shared object support for C-API developers. The C-API is then wrapped into a Python API to provide a more user-friendly option for Python developers.

The calculation core is thoroughly tested by its own unit tests and validation tests. While the model can also be validated on the Python side with the same test data.

More in-depth information on Power Grid Model can be found here: https://power-grid-model.readthedocs.io/en/stable/.

power-grid-model-io

The power-grid-model-io library is a data conversion Python library to speed and simplify integration of Power Grid Model into broader system environments. This handles the conversion between the Power Grid Model format and other common grid data formats, with current support for conversion from Vision and pandapower.

More in-depth information on the data conversion library can be found here: https://power-grid-model-io.readthedocs.io/en/stable.

power-grid-model-ds

The power-grid-model-ds library extends the core Power Grid Model calculation engine with a high-level, Pythonic modelling and simulation interface for data-science applications. It defines a Grid dataclass that manages the consistency of the entire network and enables seamless integration of advanced analyses, such as network topology exploration, path and cycle detection, and connected-component checks, directly within data-science workflows. Built on the same performant C++ core as Power Grid Model, PGM-DS exposes essential power-system calculations (power flow, state estimation, short-circuit) through a lightweight Python API, allowing for large-scale batch simulations and rapid prototyping of grid-optimization algorithms.

Key Features:

  • Dual Representations, manages both graph- and array-based views of the network, making it easy to switch between topological analyses (e.g., cycle detection, pathfinding) and vectorized computations.
  • High-Performance Simulation, leverages the PGM C++ calculation core via a Python wrapper to run simulation-intensive tasks.
  • Data Science Integration, designed for batch experimentation, enabling millions of scenario simulations for grid planning, load-forecasting, and reliability studies over multi-year horizons.

Integration and LF Energy Power Grid Suite

Power Grid Model offers a powerful stand-alone calculation engine. Using power-grid-model-io, it can be easily integrated into any broader systems architecture, with out-of-the-box integration modules for Vision and pandapower.

For organizations looking at building full active congestion management systems, Power Grid Model now forms part of a more comprehensive open source tool suite hosted by LF Energy.

Used together, the suite enables DSOs to create end-to-end smart energy software platforms stretching from capacity forecasting, through advanced modelling and calculation, through to intelligent grid-edge mitigation and the implementation of reactive market pricing for steering supply and demand.

The LF Energy Power Grid Suite also incorporates:

OpenSTEF

OpenSTEF uses machine learning for accurate short term forecasting grid load and generation: based on measurements, weather forecasts, pricing on the energy market and other determining metrics.

Shapeshifter offers a framework and libraries for building Smart Energy trading platforms based on the Universal Flex Trading Protocol (UFTP).

Power Grid Model Use Cases

  • Power Grid Model is used by existing DSOs to generate simulations of different potential grid expansion plans in profile calculations over future decades.
  • Monte-Carlo: Local operators are using Power Grid Model to simulate different scenarios for low voltage (LV) grid requirements in the coming decades. Simulations are based on different forecasts for the market penetration of electric vehicles and photovoltaics, and are used to identify potential bottlenecks within LV grids.
  • Other current use cases include real-time what-if analysis including impact analysis of component failure and other anomalies on the current grid state.
  • Alliander’s Delvi Project Leverages LF Energy Power Grid Model to Direct Overhaul of Low Voltage Grid

Resources

Collaboration

Integration

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The 6th Power Grid Model Meetup – Our First Full-Day Event and a Growing Community 

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Related Videos

The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. 00:00 Opening remarks (morning), Peter Salemink (Alliander) 00:06:44 Highlights PGM, PGM Maintainers (Alliander) 00:25:41 Roadmap PGM, PGM Maintainers (Alliander) 00:37:32 Highlights PGM-DS, PGM Maintainers (Alliander) 01:04:11 Roadmap PGM-DS, PGM Maintainers (Alliander) 01:08:47 How to contribute, PGM Maintainers (Alliander) 01:16:52 Forward looking bottom-up grid state forecasting and optimization using plug and play software stack​, Ankur Arohi (Emsys) 01:47:09 Opening remarks (afternoon), Peter Salemink (Alliander) 01:52:06 Keynote : Powering the Energy Transition: Different Pieces, One Shared Puzzle​, Martijn Govers (Bright Cubes) 02:40:41 Use case: PEANUT for Tactical Capacity Management: a Power Grid Model implementation ​, Francisca Mestre (Alliander) 03:13:47 Use case: PV Nodes in PGM Power Flow – Theory and Scenario-Based Demonstrations ​, Udo Schmitz & Eduard Fried (SOPTIM) 03:41:24 Digital Twin LS Flex model, Willemijn Brus (DEP/Alliander) 03:48:37 Power Grid Model meets DOTS Co-Simulations, Leo van Schooten (TU/e) 03:54:47 KOPR: An AI Digital Twin Deployed Nationwide in Luxembourg for Smart Grid Operations, Cyril Cecchinel (DataThings) 04:03:17 How to best lift transmission constraints, Wander Wadman (Alliander) 04:09:01 Closing remarks, Peter Salemink (Alliander) 4:14:31

The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.

Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.

Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.

00:00 Opening remarks (morning), Peter Salemink (Alliander)

00:06:44 Highlights PGM, PGM Maintainers (Alliander)

00:25:41 Roadmap PGM, PGM Maintainers (Alliander)

00:37:32 Highlights PGM-DS, PGM Maintainers (Alliander)

01:04:11 Roadmap PGM-DS, PGM Maintainers (Alliander)

01:08:47 How to contribute, PGM Maintainers (Alliander)

01:16:52 Forward looking bottom-up grid state forecasting and optimization using plug and play software stack​, Ankur Arohi (Emsys)

01:47:09 Opening remarks (afternoon), Peter Salemink (Alliander)

01:52:06 Keynote : Powering the Energy Transition: Different Pieces, One Shared Puzzle​, Martijn Govers (Bright Cubes)

02:40:41 Use case: PEANUT for Tactical Capacity Management: a Power Grid Model implementation ​, Francisca Mestre (Alliander)

03:13:47 Use case: PV Nodes in PGM Power Flow – Theory and Scenario-Based Demonstrations ​, Udo Schmitz & Eduard Fried (SOPTIM)

03:41:24 Digital Twin LS Flex model, Willemijn Brus (DEP/Alliander)

03:48:37 Power Grid Model meets DOTS Co-Simulations, Leo van Schooten (TU/e)

03:54:47 KOPR: An AI Digital Twin Deployed Nationwide in Luxembourg for Smart Grid Operations, Cyril Cecchinel (DataThings)

04:03:17 How to best lift transmission constraints, Wander Wadman (Alliander)

04:09:01 Closing remarks, Peter Salemink (Alliander)

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS41QTY1Q0UxMTVCODczNThE

7th Power Grid Model Meetup - 2026

June 4, 2026 9:51 am

Lightning Talk: Integrating CGMES-Based Grid Models Using the Generic Branch in Power Grid Model - Udo Schmitz, SOPTIM AG The Common Grid Model Exchange Specification (CGMES) is becoming the de facto standard for exchanging grid models across utilities and TSOs. However, integrating CGMES-based data into simulation and analysis tools remains a challenge due to differences in internal representations. This talk introduces a practical, open-source solution implemented in the Power Grid Model (PGM) framework: the Generic Branch. Developed and contributed by the speaker, the Generic Branch allows for the direct use of CGMES electrical equivalents (e.g., series impedance and shunt admittance) without the need for conversion to manufacturer-style transformer data. To support this workflow, we at SOPTIM AG developed the CGMES2PGM Converter, an open-source tool that transforms CIM/CGMES datasets into PGM format using the Generic Branch as a core element ([github.com/SOPTIM/cgmes2pgm\_converter](https://github.com/SOPTIM/cgmes2pgm_converter)). The session includes key design insights, practical use cases, and a short live demo showcasing how CGMES-based models can be used directly in PGM for grid analysis. 9:41

Lightning Talk: Integrating CGMES-Based Grid Models Using the Generic Branch in Power Grid Model - Udo Schmitz, SOPTIM AG

The Common Grid Model Exchange Specification (CGMES) is becoming the de facto standard for exchanging grid models across utilities and TSOs. However, integrating CGMES-based data into simulation and analysis tools remains a challenge due to differences in internal representations.

This talk introduces a practical, open-source solution implemented in the Power Grid Model (PGM) framework: the Generic Branch. Developed and contributed by the speaker, the Generic Branch allows for the direct use of CGMES electrical equivalents (e.g., series impedance and shunt admittance) without the need for conversion to manufacturer-style transformer data.

To support this workflow, we at SOPTIM AG developed the CGMES2PGM Converter, an open-source tool that transforms CIM/CGMES datasets into PGM format using the Generic Branch as a core element ([github.com/SOPTIM/cgmes2pgm_converter](https://github.com/SOPTIM/cgmes2pgm_converter)).

The session includes key design insights, practical use cases, and a short live demo showcasing how CGMES-based models can be used directly in PGM for grid analysis.

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS5EQUE1NTFDRjcwMDg0NEMz

Lightning Talk: Integrating CGMES-Based Grid Models Using the Generic Branch in Power... Udo Schmitz

September 22, 2025 7:40 am

Keynote: From Prototype to Innersource to Open Source: Lessons from a Power Grid Model Journey - Tony Xiang, Principal Scientist, Alliander N.V. & Jonas van den Bogaard, Open Source Office Lead, Alliander How does a technical prototype evolve into a thriving open source project? In this session, we’ll take you behind the scenes of the Power Grid Model project — a journey that began as a small internal proof of concept and matured through innersource collaboration into a fully open source initiative. We’ll share key lessons learned along the way, including: • How innersource practices helped scale adoption and development internally • The challenges and benefits of transitioning to open source • Strategies for governance, community engagement, and product evolution • Technical and organizational insights that shaped the project’s success Whether you're starting your own open source journey or scaling an internal tool, this talk offers practical takeaways for developers, architects, and open source advocates alike. 19:44

Keynote: From Prototype to Innersource to Open Source: Lessons from a Power Grid Model Journey - Tony Xiang, Principal Scientist, Alliander N.V. & Jonas van den Bogaard, Open Source Office Lead, Alliander

How does a technical prototype evolve into a thriving open source project? In this session, we’ll take you behind the scenes of the Power Grid Model project — a journey that began as a small internal proof of concept and matured through innersource collaboration into a fully open source initiative.

We’ll share key lessons learned along the way, including:
• How innersource practices helped scale adoption and development internally
• The challenges and benefits of transitioning to open source
• Strategies for governance, community engagement, and product evolution
• Technical and organizational insights that shaped the project’s success

Whether you're starting your own open source journey or scaling an internal tool, this talk offers practical takeaways for developers, architects, and open source advocates alike.

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS41Mzk2QTAxMTkzNDk4MDhF

Keynote: From Prototype to Innersource to Open Source: Lessons... Tony Xiang & Jonas van den Bogaard

September 22, 2025 7:40 am

Power Grid Model DS: Simplifying Data Science for Distribution System Analysis - Peter Salemink & Jaap Schouten, Alliander Power Grid Model is an open-source distribution system calculation engine. It provides calculation methods for power flow, state estimation and short circuit calculations. Within Alliander an internal collaboration was started to develop additional functionalities around the Power Grid Model. This year, this internal collaboration was brought open-source to LFE under the name power-grid-model-ds. During this talk we will give a short introduction to Power Grid Model and give insights in how Power Grid Model has ignited collaborations within Alliander with resulted in a new open-source project. We'll take you on a journey from the origin of power-grid-model-ds to how it can accelerate your distribution system analysis. 24:14

Power Grid Model DS: Simplifying Data Science for Distribution System Analysis - Peter Salemink & Jaap Schouten, Alliander

Power Grid Model is an open-source distribution system calculation engine. It provides calculation methods for power flow, state estimation and short circuit calculations. Within Alliander an internal collaboration was started to develop additional functionalities around the Power Grid Model. This year, this internal collaboration was brought open-source to LFE under the name power-grid-model-ds. During this talk we will give a short introduction to Power Grid Model and give insights in how Power Grid Model has ignited collaborations within Alliander with resulted in a new open-source project. We'll take you on a journey from the origin of power-grid-model-ds to how it can accelerate your distribution system analysis.

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS4zMDg5MkQ5MEVDMEM1NTg2

Power Grid Model DS: Simplifying Data Science for Distribution Sys... Peter Salemink & Jaap Schouten

September 22, 2025 7:41 am

Agenda: -Welcome -PGM-DS workshop: Join us for an interactive, hands-on session where you'll solve a real-world problem using the PGM-DS project. This session is designed to showcase the versatility and user-friendliness of PGM-DS. You'll work with a realistic use case, utilizing dummy data to explore the full capabilities of the project in a practical, engaging way. -“Let’s contribute” hackathon: Join us for an exciting hackathon session where you'll collaborate with the Power Grid Model maintainers to work on new contributions to the project. This hands-on experience will allow you to directly impact the development of PGM, as you tackle real challenges and make meaningful contributions alongside experts in the field. About Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. 52:21

Agenda:
-Welcome

-PGM-DS workshop: Join us for an interactive, hands-on session where you'll solve a real-world problem using the PGM-DS project. This session is designed to showcase the versatility and user-friendliness of PGM-DS. You'll work with a realistic use case, utilizing dummy data to explore the full capabilities of the project in a practical, engaging way.

-“Let’s contribute” hackathon: Join us for an exciting hackathon session where you'll collaborate with the Power Grid Model maintainers to work on new contributions to the project. This hands-on experience will allow you to directly impact the development of PGM, as you tackle real challenges and make meaningful contributions alongside experts in the field.

About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.

Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.

Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS45ODRDNTg0QjA4NkFBNkQy

6th Power Grid Model Meetup - May 21, 2025 (Morning Session)

May 28, 2025 5:43 am

Agenda: Presentation 1: CIM/CGMES data import using the generic branch - Udo Schmitz, SOPTIM AG Presentation 2: Automatic correction of tap-changer positions at distribution transformers using state-estimation and Bayesian Machine Learning - Jacco Heres and Gerrit van Tilburg, Alliander Keynote: Advanced computation options for power systems - Prof. Peter Palensky, Delft University of Technology Lightning talks: -The asymmetric line feature in PGM, utilizing PGM for co-simulations - Leo van Schooten, Eindhoven University of Technology -Boosting PGMs data science capabilities with the PGM-DS toolkit - Jaap Schouten and Thijs Baaijen, Alliander -Fast linear loadflows for grid planning - Jasper van Casteren, Tennet Highlights 2024 - Santiago Figueroa Manrique Closing About Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. 2:27:25

Agenda:
Presentation 1: CIM/CGMES data import using the generic branch - Udo Schmitz, SOPTIM AG

Presentation 2: Automatic correction of tap-changer positions at distribution transformers using state-estimation and Bayesian Machine Learning - Jacco Heres and Gerrit van Tilburg, Alliander

Keynote: Advanced computation options for power systems - Prof. Peter Palensky, Delft University of Technology

Lightning talks:
-The asymmetric line feature in PGM, utilizing PGM for co-simulations - Leo van Schooten, Eindhoven University of Technology
-Boosting PGMs data science capabilities with the PGM-DS toolkit - Jaap Schouten and Thijs Baaijen, Alliander
-Fast linear loadflows for grid planning - Jasper van Casteren, Tennet

Highlights 2024 - Santiago Figueroa Manrique

Closing

About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.

Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.

Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS5EMEEwRUY5M0RDRTU3NDJC

6th Power Grid Model Meetup - May 21, 2025 (Afternoon Session)

May 28, 2025 2:57 am

This video was originally posted at https://fosdem.org/2025/schedule/event/fosdem-2025-4662-empowering-the-energy-transition-through-fast-and-flexible-network-simulation/ and is provided by FOSDEM under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en Abstract: Join us for a insightful presentation on the open source "Power Grid Model DS" project, an innovative extension designed to harness the power-grid-model core for advanced data science applications. This session will delve into the project's new modeling and simulation interface, which facilitates efficient grid calculations and utilizes graph algorithms for detailed network analysis. Discover the extended numpy model that enriches development ease and the practical simulation tools for network mutations, underscored by robust debugging capabilities like intuitive network visualization. This discussion is essential for those interested in cutting-edge solutions for smarter, sustainable energy systems. Building on the foundational strengths of the open-source "Power Grid Model," this library is pivotal in addressing the challenges within the electricity grid, such as the integration of renewable energy sources and smart technologies. Through its C++ core and Python API, it offers advanced features like state estimation, power flow, and short-circuit calculations, crucial for both current applications and academic research. This presentation will highlight how the new open source "Power Grid Model DS" project extends these capabilities, enhancing both immediate operational needs and long-term strategic planning in energy networks, fostering the smart energy transition. Speakers: Jaap Schouten, Alliander Thijs Baaijen, Alliander 20:28

This video was originally posted at https://fosdem.org/2025/schedule/event/fosdem-2025-4662-empowering-the-energy-transition-through-fast-and-flexible-network-simulation/ and is provided by FOSDEM under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en

Abstract:
Join us for a insightful presentation on the open source "Power Grid Model DS" project, an innovative extension designed to harness the power-grid-model core for advanced data science applications. This session will delve into the project's new modeling and simulation interface, which facilitates efficient grid calculations and utilizes graph algorithms for detailed network analysis. Discover the extended numpy model that enriches development ease and the practical simulation tools for network mutations, underscored by robust debugging capabilities like intuitive network visualization. This discussion is essential for those interested in cutting-edge solutions for smarter, sustainable energy systems.

Building on the foundational strengths of the open-source "Power Grid Model," this library is pivotal in addressing the challenges within the electricity grid, such as the integration of renewable energy sources and smart technologies. Through its C++ core and Python API, it offers advanced features like state estimation, power flow, and short-circuit calculations, crucial for both current applications and academic research. This presentation will highlight how the new open source "Power Grid Model DS" project extends these capabilities, enhancing both immediate operational needs and long-term strategic planning in energy networks, fostering the smart energy transition.

Speakers:
Jaap Schouten, Alliander
Thijs Baaijen, Alliander

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS40NzZCMERDMjVEN0RFRThB

FOSDEM 2025 Energy Devroom: Empowering the Energy Transition thru Fast & Flexible Network Simulation

February 14, 2025 4:45 am

In this January 2025 webinar, the LF Energy Power Grid Model community explored: -why Alliander started Power Grid Model and how it grew -how it's currently used outside Alliander -the community's ambitions for the future About Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. Full Agenda - Welcome and Introduction - Peter Salemink - Part 1: Power Grid Model Origins: The Case for In-House Investment in Distribution Power System Calculations - Werner van Westering - Part 2: Professionalizing Power Grid Calculations with the Power Grid Model - Tony Xiang - Part 3: Alliander's Strategic Commitment to Open Source and the Power Grid Model Journey to open source - Jonas van den Bogaard - Part 4: Scaling Up the Application of the Power Grid Model at Alliander - Jaap Schouten - Part 5: Using Power Grid Model for research at Eindhoven University of Technology - Nikolaos Paterakis - Part 6: Future Vision for Power Grid Model - Tony Xiang - Closing - Peter Salemink Learn More Power Grid Model Website: https://lfenergy.org/projects/power-grid-model/ Join the mailing list: https://lists.lfenergy.org/g/powergridmodel 1:3:47

In this January 2025 webinar, the LF Energy Power Grid Model community explored:
-why Alliander started Power Grid Model and how it grew
-how it's currently used outside Alliander
-the community's ambitions for the future

About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.

Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.

Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.

Full Agenda
- Welcome and Introduction - Peter Salemink
- Part 1: Power Grid Model Origins: The Case for In-House Investment in Distribution Power System Calculations - Werner van Westering
- Part 2: Professionalizing Power Grid Calculations with the Power Grid Model - Tony Xiang
- Part 3: Alliander's Strategic Commitment to Open Source and the Power Grid Model Journey to open source - Jonas van den Bogaard
- Part 4: Scaling Up the Application of the Power Grid Model at Alliander - Jaap Schouten
- Part 5: Using Power Grid Model for research at Eindhoven University of Technology - Nikolaos Paterakis
- Part 6: Future Vision for Power Grid Model - Tony Xiang
- Closing - Peter Salemink

Learn More
Power Grid Model Website: https://lfenergy.org/projects/power-grid-model/
Join the mailing list: https://lists.lfenergy.org/g/powergridmodel

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS5GNjNDRDREMDQxOThCMDQ2

Webinar: Power Grid Model: Advancing Grid Calculations Through Collaborative Open Source Innovation

January 21, 2025 3:26 am

Distribution System Analysis Using Power Grid Model - Peter Salemink, Alliander Power Grid Model is an open-source distribution grid calculation library that is part of the Linux Foundation Energy. During this presentation I'd like to give a short introduction of Power Grid Model and then zoom in to specific use-cases of how Power Grid Model is used within Alliander, a Dutch Distribution System Operator. 30:16

Distribution System Analysis Using Power Grid Model - Peter Salemink, Alliander

Power Grid Model is an open-source distribution grid calculation library that is part of the Linux Foundation Energy. During this presentation I'd like to give a short introduction of Power Grid Model and then zoom in to specific use-cases of how Power Grid Model is used within Alliander, a Dutch Distribution System Operator.

YouTube Video UExLeUZmMUo5WGtwdVN4UGVmZ2Ywd01TVnZMLUI0cTd1LS45NDk1REZENzhEMzU5MDQz

Distribution System Analysis Using Power Grid Model - Peter Salemink, Alliander

September 22, 2024 3:00 pm

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