JakobKirschner/pandapower
Dec 2024 – Oct 2025
10 Months active
Languages Used
PythonTOMLYAMLrstNonetomlNumPySciPy
Technical Skills
DebuggingSoftware DevelopmentTestingAPI IntegrationData VisualizationVersion Control
Mike Vogt
PROFILE
Mike Vogt
Mike Vogt contributed to the pandapower repository by advancing DC grid modeling, control systems, and release automation over a ten-month period. He developed features such as bipolar VSC support, DC source and load integration, and enhanced reference bus control, enabling more accurate and flexible power systems simulations. Using Python and leveraging libraries like Pandas and NumPy, Mike refactored core algorithms, stabilized CI/CD pipelines, and improved data structures for both AC and DC networks. His work included rigorous testing, documentation updates, and dependency management, resulting in a more robust, maintainable codebase that supports modern Python versions and streamlined release processes.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
162Total
Bugs
35
Commits
162
Features
51
Lines of code
31,333
Activity Months10
Your Network
46 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for JakobKirschner/pandapower. Key features delivered this month include: (1) Python Version Policy Upgrade and Dependency Stabilization: updated the policy to require Python 3.10+, refined and aligned dependency specifications for stability, dropped Python 3.9, upgraded libraries, and resolved a mypy typing issue in create_jacobian_facts.py; associated commits include 510d37d004402382817a117dc78bb1f86ce108c9, 5724e1ed74cb764cdbcb1bb721deebff52d35cb9, and 54e433d446a9bd3dad227e454f43bb011e59c07f. (2) Release Pipeline and Build Tooling Improvements: revised the release process to use uv for dependency management and installation, replacing pip commands and streamlining cross-OS and Python-version installations; commit f2f0d3aacaad3be85bb02afb95f327b0d604eb39.
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for JakobKirschner/pandapower. Key features delivered this month include: (1) Python Version Policy Upgrade and Dependency Stabilization: updated the policy to require Python 3.10+, refined and aligned dependency specifications for stability, dropped Python 3.9, upgraded libraries, and resolved a mypy typing issue in create_jacobian_facts.py; associated commits include 510d37d004402382817a117dc78bb1f86ce108c9, 5724e1ed74cb764cdbcb1bb721deebff52d35cb9, and 54e433d446a9bd3dad227e454f43bb011e59c07f. (2) Release Pipeline and Build Tooling Improvements: revised the release process to use uv for dependency management and installation, replacing pip commands and streamlining cross-OS and Python-version installations; commit f2f0d3aacaad3be85bb02afb95f327b0d604eb39.
October 2025
September 2025
51 Commits • 14 Features
Sep 1, 2025September 2025 monthly summary for JakobKirschner/pandapower focusing on business value and technical achievements. Delivered foundational VSC control via reference bus, introduced differential control, expanded HVDC modeling with DMR controller, and strengthened test and CI robustness. These efforts improved control fidelity, reliability, and maintainability, enabling safer system operation and faster iteration.
September 2025
51 Commits • 14 Features
Sep 1, 2025September 2025 monthly summary for JakobKirschner/pandapower focusing on business value and technical achievements. Delivered foundational VSC control via reference bus, introduced differential control, expanded HVDC modeling with DMR controller, and strengthened test and CI robustness. These efforts improved control fidelity, reliability, and maintainability, enabling safer system operation and faster iteration.
August 2025
4 Commits • 2 Features
Aug 1, 2025Summary for 2025-08: Delivered two core feature enhancements to pandapower's DC grid modeling: bipolar VSC support and enhanced VSC reference bus control. These updates enable accurate bipolar DC grid simulations and more flexible, stable control strategies, improving planning, validation, and operation readiness for DC grid deployments.
4 Commits • 2 Features
Aug 1, 2025Summary for 2025-08: Delivered two core feature enhancements to pandapower's DC grid modeling: bipolar VSC support and enhanced VSC reference bus control. These updates enable accurate bipolar DC grid simulations and more flexible, stable control strategies, improving planning, validation, and operation readiness for DC grid deployments.
August 2025
July 2025
47 Commits • 15 Features
Jul 1, 2025Month: 2025-07 review — The Pandapower project delivered end-to-end DC modeling enhancements, strengthened code quality, and improved documentation, enabling more accurate DC network simulations and faster development cycles. The work adds DC source support, DC loads, and supporting utilities, integrates DC semantics across the data pipeline, and keeps the project maintainable with consistent typing and formatting. Stability and usability were improved through proactive bug fixes and test updates, with clear business value in DC microgrid modeling and broader adoption of pandapower's DC capabilities.
July 2025
47 Commits • 15 Features
Jul 1, 2025Month: 2025-07 review — The Pandapower project delivered end-to-end DC modeling enhancements, strengthened code quality, and improved documentation, enabling more accurate DC network simulations and faster development cycles. The work adds DC source support, DC loads, and supporting utilities, integrates DC semantics across the data pipeline, and keeps the project maintainable with consistent typing and formatting. Stability and usability were improved through proactive bug fixes and test updates, with clear business value in DC microgrid modeling and broader adoption of pandapower's DC capabilities.
June 2025
11 Commits • 2 Features
Jun 1, 2025June 2025 Monthly Summary for JakobKirschner/pandapower focusing on delivering business value, stabilizing core algorithms, and improving release readiness.
11 Commits • 2 Features
Jun 1, 2025June 2025 Monthly Summary for JakobKirschner/pandapower focusing on delivering business value, stabilizing core algorithms, and improving release readiness.
June 2025
May 2025
27 Commits • 12 Features
May 1, 2025May 2025 monthly summary for JakobKirschner/pandapower focused on delivering release-readiness, stabilizing the test suite, and advancing new functionality while improving developer experience and documentation. The month combined feature delivery with fixes to release automation and packaging, enabling smoother shipping and easier onboarding for users and contributors.
May 2025
27 Commits • 12 Features
May 1, 2025May 2025 monthly summary for JakobKirschner/pandapower focused on delivering release-readiness, stabilizing the test suite, and advancing new functionality while improving developer experience and documentation. The month combined feature delivery with fixes to release automation and packaging, enabling smoother shipping and easier onboarding for users and contributors.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 highlights for JakobKirschner/pandapower. Business value: improved accuracy and reliability of power-flow analyses, clearer data exports, and more robust visualization, enabling faster decision-making and smoother integration with downstream tooling. Key features delivered: DC Loadflow Results Correctness and Generator Table Enhancements, including new generator reactive-power capability curve columns and the ability to import/export governor parameters; GeoJSON Output Cleaner adding include_type_id to produce cleaner features. Major bugs fixed: Bus Plotting Reliability fixed to ensure the entire specified bus set is plotted; Internal Typing and Compatibility: create_bus_collection cmap Hint to stabilize static analysis with dynamic matplotlib imports. Overall impact: more trustworthy simulations, cleaner data interfaces, and improved developer experience through tests and changelog documentation. Technologies/skills demonstrated: Python, testing, type hints, dynamic import handling, data interchange formats (GeoJSON), and changelog discipline.
5 Commits • 2 Features
Apr 1, 2025April 2025 highlights for JakobKirschner/pandapower. Business value: improved accuracy and reliability of power-flow analyses, clearer data exports, and more robust visualization, enabling faster decision-making and smoother integration with downstream tooling. Key features delivered: DC Loadflow Results Correctness and Generator Table Enhancements, including new generator reactive-power capability curve columns and the ability to import/export governor parameters; GeoJSON Output Cleaner adding include_type_id to produce cleaner features. Major bugs fixed: Bus Plotting Reliability fixed to ensure the entire specified bus set is plotted; Internal Typing and Compatibility: create_bus_collection cmap Hint to stabilize static analysis with dynamic matplotlib imports. Overall impact: more trustworthy simulations, cleaner data interfaces, and improved developer experience through tests and changelog documentation. Technologies/skills demonstrated: Python, testing, type hints, dynamic import handling, data interchange formats (GeoJSON), and changelog discipline.
April 2025
March 2025
10 Commits • 2 Features
Mar 1, 2025March 2025: Delivered a major overhaul of network analysis and simulation capabilities in pandapower, stabilized CI/test infrastructure, and fixed critical data integrity and NX graph construction issues. Achieved more accurate network modeling, reduced regression risk, and improved maintainability, enabling faster validation and safer deployments.
March 2025
10 Commits • 2 Features
Mar 1, 2025March 2025: Delivered a major overhaul of network analysis and simulation capabilities in pandapower, stabilized CI/test infrastructure, and fixed critical data integrity and NX graph construction issues. Achieved more accurate network modeling, reduced regression risk, and improved maintainability, enabling faster validation and safer deployments.
February 2025
2 Commits
Feb 1, 2025February 2025 monthly summary for JakobKirschner/pandapower: Focused on keeping the plotting UI in sync with Plotly API changes and maintaining release discipline. Key updates included a plotting compatibility fix for the renamed Plotly property and a routine development version bump with no functional changes, reinforcing reliability and maintainability for the project.
2 Commits
Feb 1, 2025February 2025 monthly summary for JakobKirschner/pandapower: Focused on keeping the plotting UI in sync with Plotly API changes and maintaining release discipline. Key updates included a plotting compatibility fix for the renamed Plotly property and a routine development version bump with no functional changes, reinforcing reliability and maintainability for the project.
February 2025
December 2024
1 Commits
Dec 1, 2024December 2024: Fixed a bug in the Pandapower estimation module by correctly assigning the algorithm to ExtendedPPCI within the pp2eppci function, updated the measurement update path, and refined test thresholds. Updated test_cigre_network and create_measurement tests to reflect expected behavior for duplicate vs non-duplicate measurements. The changes improve estimation accuracy, stabilize the test suite, and reduce production risk by ensuring correct measurement handling and algorithm association.
December 2024
1 Commits
Dec 1, 2024December 2024: Fixed a bug in the Pandapower estimation module by correctly assigning the algorithm to ExtendedPPCI within the pp2eppci function, updated the measurement update path, and refined test thresholds. Updated test_cigre_network and create_measurement tests to reflect expected behavior for duplicate vs non-duplicate measurements. The changes improve estimation accuracy, stabilize the test suite, and reduce production risk by ensuring correct measurement handling and algorithm association.
Activity
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Quality Metrics
Correctness87.6%
Maintainability89.2%
Architecture85.4%
Performance80.6%
AI Usage20.2%
Skills & Technologies
Programming Languages
CSVCythonNoneNumPyNumpyPythonRSTSVGSciPyTOML
Technical Skills
API DevelopmentAPI IntegrationAlgorithm OptimizationBackend DevelopmentBug FixBug FixingBuild System ConfigurationCI/CDCI/CD ConfigurationCode CleanupCode DocumentationCode FormattingCode QualityCode RefactoringConfiguration Management
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