PyPSA/PyPSA
May 2026 – Jul 2026
3 Months active
Languages Used
Python
Technical Skills
Python package developmentdependency managementsoftware maintenanceData EngineeringPandasPython
Mayk Thewessen
PROFILE
Mayk Thewessen
Over three months, contributed to the PyPSA/PyPSA repository by delivering targeted enhancements and maintenance focused on power systems modeling and data reliability. Developed phase-shifting transformer support in the linear optimal power flow module, integrating phase shift constraints and optimizable taps with comprehensive tests and updated documentation. Improved data ingestion robustness by ensuring compatibility with pandas StringDtype, preventing type errors during optimization and enhancing I/O stability. Upgraded core dependencies, including xarray and linopy, to support new features and maintain cross-environment compatibility. Work emphasized Python, Pandas, and optimization techniques, with a strong focus on reliability, maintainability, and collaborative development practices.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
801
Activity Months3
Your Network
24 peopleWork History
July 2026
1 Commits • 1 Features
Jul 1, 2026Monthly summary for PyPSA/PyPSA (July 2026): Implemented phase-shifting transformer support in the linear optimal power flow (LOPF), including phase shift constraints within Kirchhoff's Voltage Law, optimizable taps with user-defined bounds, and alignment with nonlinear power flow verification. Delivered updated documentation, new consistency checks, and a comprehensive test suite to validate modeling fidelity and prevent regressions. This enhancement expands modeling capability for more accurate transmission planning and operation.
1 Commits • 1 Features
Jul 1, 2026Monthly summary for PyPSA/PyPSA (July 2026): Implemented phase-shifting transformer support in the linear optimal power flow (LOPF), including phase shift constraints within Kirchhoff's Voltage Law, optimizable taps with user-defined bounds, and alignment with nonlinear power flow verification. Delivered updated documentation, new consistency checks, and a comprehensive test suite to validate modeling fidelity and prevent regressions. This enhancement expands modeling capability for more accurate transmission planning and operation.
July 2026
June 2026
1 Commits
Jun 1, 2026June 2026: PyPSA/PyPSA data ingestion improvements focused on reliability with pandas StringDtype. Delivered a robust import path that coerces Arrow-backed strings on import, preventing coercion to object dtype and eliminating TypeError during optimization when using pandas 3.0+ and future StringDtype inference. This fixes enhances I/O stability across the project and reduces data-pipeline downtime. Key commit: fix(io): coerce Arrow-backed strings on import (260e9b215f3962498454483f4855db6139363742) addressing #1585; collaboration with CI and teammates contributed to the fix.
June 2026
1 Commits
Jun 1, 2026June 2026: PyPSA/PyPSA data ingestion improvements focused on reliability with pandas StringDtype. Delivered a robust import path that coerces Arrow-backed strings on import, preventing coercion to object dtype and eliminating TypeError during optimization when using pandas 3.0+ and future StringDtype inference. This fixes enhances I/O stability across the project and reduces data-pipeline downtime. Key commit: fix(io): coerce Arrow-backed strings on import (260e9b215f3962498454483f4855db6139363742) addressing #1585; collaboration with CI and teammates contributed to the fix.
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05 — PyPSA/PyPSA: Delivered critical dependency upgrades to improve compatibility and functionality. Lifted the upper bound for xarray and raised the minimum version for linopy to support newer features and stabilize environments. These changes reduce breakage risk across downstream users and set the stage for upcoming feature work.
1 Commits • 1 Features
May 1, 2026Month: 2026-05 — PyPSA/PyPSA: Delivered critical dependency upgrades to improve compatibility and functionality. Lifted the upper bound for xarray and raised the minimum version for linopy to support newer features and stabilize environments. These changes reduce breakage risk across downstream users and set the stage for upcoming feature work.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage46.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data EngineeringNumPyOptimizationPandasPower Systems EngineeringPythonPython package developmentTestingdependency managementsoftware maintenancexarray
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