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Eduard Fried

PROFILE

Eduard Fried

Contributed to the PowerGridModel/power-grid-model repository by developing and enhancing core power flow modeling features, including the implementation of PV Node capabilities and robust voltage regulator handling. Applied C++ and Python to optimize algorithm design, improve data modeling, and expand test coverage, ensuring accurate simulation of power systems under various scenarios. Integrated voltage regulator logic into the Newton-Raphson solver, addressed build stability across platforms, and refined code quality through targeted maintenance and documentation updates. Enhanced validation with new datasets and comprehensive unit tests, resulting in a more maintainable, reliable, and extensible backend for power systems analysis and planning workflows.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

32Total
Bugs
3
Commits
32
Features
6
Lines of code
5,977
Activity Months2

Work History

January 2026

5 Commits • 1 Features

Jan 1, 2026

January 2026 summary: Delivered robust voltage-regulator handling in the power-flow model, enforcing Newton-Raphson when regulators are present and removing the redundant q component from regulator outputs. Fixed bus injection distribution for regulated loads/generators and added validation tests to guard against regressions. Expanded PV-node6 test coverage by broadening load/generation types and introduced a new 6-node dataset plus tests for unsupported regulator scenarios. Performed targeted code cleanup (non-ASCII removal) and solver comment improvements. These efforts increase model accuracy, robustness, and testing efficiency, enabling more reliable planning and operation analyses.

December 2025

27 Commits • 5 Features

Dec 1, 2025

December 2025 performance summary for PowerGridModel/power-grid-model: Focused on delivering core PV Node capabilities, ensuring robust PV integration, stabilizing builds, and expanding validation coverage. Achieved business value through improved model accuracy, stability, and maintainability of the power flow model, along with clear documentation and testing that de-risks future changes.

Activity

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Quality Metrics

Correctness91.4%
Maintainability87.4%
Architecture88.2%
Performance87.4%
AI Usage25.0%

Skills & Technologies

Programming Languages

C++JSONMarkdownPython

Technical Skills

Algorithm DesignC++C++ developmentC++ programmingCode formattingCode maintenanceData ModelingJSON manipulationPythonPython developmentPython programmingPython scriptingSoftware ArchitectureSoftware Engineeringalgorithm design

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

PowerGridModel/power-grid-model

Dec 2025 Jan 2026
2 Months active

Languages Used

C++JSONMarkdownPython

Technical Skills

Algorithm DesignC++C++ developmentC++ programmingCode formattingCode maintenance