PyPSA/PyPSA

Health v2 · maintenance only

Adoption not part of the score

2113 stars · 690 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PyPSA is an open-source Python framework for optimising and simulating power and energy systems, covering conventional generators with unit commitment, wind and solar generation, storage, sector coupling, and linearised DC/AC power flow. It is built to scale to large networks with long time series and is aimed at researchers, planners, and utilities with basic coding skills.

Use cases

• model national or regional electricity systems with renewables in python
• solve optimal power flow for a transmission network
• run capacity expansion planning for least-cost energy scenarios
• simulate dispatch of wind, solar, hydro, and storage over a year of time series
• compute linearised DC or AC power flows on large grids
• model coupling of electricity with heat, gas, or mobility sectors
• study unit commitment of conventional power plants

When to choose

• you need a transparent, open-source alternative to proprietary energy system modelling tools
• you want scriptable, reproducible scenario analysis integrated with the scientific Python stack
• you need to handle large networks with long time series efficiently
• you are doing academic research or planning on renewable integration, storage, or grid expansion

When to avoid

• you need detailed dynamic or transient grid simulation rather than optimisation and static power flow
• you require a graphical point-and-click tool with no programming
• you need certified commercial planning software for regulatory studies
• your problem is unrelated to power or energy systems

Facets

framework · maturity stable

simulation math simulation mathematics python cross-platform energy-systems power-systems optimal-power-flow power-flow capacity-expansion-planning unit-commitment renewable-energy sector-coupling electrical-engineering optimization energy-modelling linopy scientific-computing pandas electricity-grid

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PyPSA/PyPSA")