sogno-platform/dpsim
Oct 2024 – Feb 2025
5 Months active
Languages Used
C++CMakeJSONPythonN/AYAMLBashMarkdown
Technical Skills
Build System ConfigurationC++C++ DevelopmentCo-simulationData LoggingEmbedded Systems
Niklas Eiling
PROFILE
Niklas Eiling
Worked on the sogno-platform/dpsim repository, delivering real-time simulation features, FPGA co-simulation, and HIL testing capabilities. Leveraged C++ and Python to implement data logging, performance optimization, and pybind-based bindings for new electrical models, enabling seamless integration with FPGA-based validation workflows. Enhanced simulation fidelity and throughput by introducing compile-time optimizations and dynamic model support, while improving system stability through defensive programming and error handling. Updated documentation to clarify real-time deployment and VILLASnode interface usage, streamlining onboarding and reducing operational risk. Maintained code quality with targeted bug fixes, code cleanup, and CI/CD improvements, supporting robust, scalable power systems simulation.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
35Total
Bugs
9
Commits
35
Features
12
Lines of code
2,195
Activity Months5
Your Network
36 peopleSame Organization
@eonerc.rwth-aachen.de24
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary: Delivered focused documentation enhancements for real-time simulation in sogno-platform/dpsim, strengthening platform reliability and developer onboarding. No major bugs fixed this period. The documentation updates clarify OS tuning for real-time performance and provide detailed configuration and usage guidance for queued and queueless VILLASnode interfaces, including new examples for advanced real-time setups. These changes reduce deployment risk and accelerate productive use of real-time features across customer deployments.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary: Delivered focused documentation enhancements for real-time simulation in sogno-platform/dpsim, strengthening platform reliability and developer onboarding. No major bugs fixed this period. The documentation updates clarify OS tuning for real-time performance and provide detailed configuration and usage guidance for queued and queueless VILLASnode interfaces, including new examples for advanced real-time setups. These changes reduce deployment risk and accelerate productive use of real-time features across customer deployments.
February 2025
January 2025
14 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for sogno-platform/dpsim: Delivered stability, performance, and usability improvements with targeted fixes and Python accessibility enhancements. The changes improve correctness of simulations, enable Python-based data logging workflows, and strengthen GPU-accelerated calculations, contributing to faster troubleshooting and more reliable deployments.
January 2025
14 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for sogno-platform/dpsim: Delivered stability, performance, and usability improvements with targeted fixes and Python accessibility enhancements. The changes improve correctness of simulations, enable Python-based data logging workflows, and strengthen GPU-accelerated calculations, contributing to faster troubleshooting and more reliable deployments.
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 | Repository: sogno-platform/dpsim Key features delivered: - Simulation performance optimization and VBR modeling enhancements: Implemented experimental compile flags in CMake (RelWithDebInfo) to accelerate simulation runtime. Updated HIL example to support VBR (Voltage-Based Representation) generator with dynamic full models, VBR-specific generator and exciter parameters for GEN1-3, adjusted current offset, and enabled system matrix recomputation for faster, more accurate simulations. Major bugs fixed: - None reported this month; efforts centered on performance improvements and feature enhancements. Overall impact and accomplishments: - Business value: Significantly faster simulation turnaround enables more iterations, larger-scale studies, and quicker validation of modeling changes, improving time-to-insight for development and testing. - Technical impact: Performance-focused refactors and new VBR support improved fidelity and throughput, enabling more accurate and scalable simulations with tighter numerical stability. Technologies/skills demonstrated: - CMake and build optimization (RelWithDebInfo flags) - HIL testing and workflow adaptations - VBR modeling and parameterization (GEN1-3, exciters) - Dynamic full models and system matrix recomputation - Numerical stability considerations (current offset adjustments) - Performance engineering and impact analysis
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 | Repository: sogno-platform/dpsim Key features delivered: - Simulation performance optimization and VBR modeling enhancements: Implemented experimental compile flags in CMake (RelWithDebInfo) to accelerate simulation runtime. Updated HIL example to support VBR (Voltage-Based Representation) generator with dynamic full models, VBR-specific generator and exciter parameters for GEN1-3, adjusted current offset, and enabled system matrix recomputation for faster, more accurate simulations. Major bugs fixed: - None reported this month; efforts centered on performance improvements and feature enhancements. Overall impact and accomplishments: - Business value: Significantly faster simulation turnaround enables more iterations, larger-scale studies, and quicker validation of modeling changes, improving time-to-insight for development and testing. - Technical impact: Performance-focused refactors and new VBR support improved fidelity and throughput, enabling more accurate and scalable simulations with tighter numerical stability. Technologies/skills demonstrated: - CMake and build optimization (RelWithDebInfo flags) - HIL testing and workflow adaptations - VBR modeling and parameterization (GEN1-3, exciters) - Dynamic full models and system matrix recomputation - Numerical stability considerations (current offset adjustments) - Performance engineering and impact analysis
December 2024
November 2024
12 Commits • 5 Features
Nov 1, 2024November 2024 focused on delivering core PHIL/co-simulation components and expanding FPGA-based HIL capabilities, while improving topology visualization, robustness, and portability. Key back-end work includes pybind bindings for new electrical models, new co-simulation examples (3-phase infinite bus and 9-bus HIL), enhanced system topology descriptions and event support, plus stability and safety improvements that reduce risk in production deployments. These changes enable more accurate real-time emulation, smoother PHIL integration, and lower maintenance costs due to portable paths and null-pointer safety.
November 2024
12 Commits • 5 Features
Nov 1, 2024November 2024 focused on delivering core PHIL/co-simulation components and expanding FPGA-based HIL capabilities, while improving topology visualization, robustness, and portability. Key back-end work includes pybind bindings for new electrical models, new co-simulation examples (3-phase infinite bus and 9-bus HIL), enhanced system topology descriptions and event support, plus stability and safety improvements that reduce risk in production deployments. These changes enable more accurate real-time emulation, smoother PHIL integration, and lower maintenance costs due to portable paths and null-pointer safety.
October 2024
6 Commits • 4 Features
Oct 1, 2024October 2024 monthly summary highlighting delivered features, fixes, and impact for sogno-platform/dpsim. Key work focused on real-time observability, FPGA co-simulation interoperability, and solver reliability enhancements that directly elevate data fidelity, performance visibility, and integration with FPGA-based validation workflows.
6 Commits • 4 Features
Oct 1, 2024October 2024 monthly summary highlighting delivered features, fixes, and impact for sogno-platform/dpsim. Key work focused on real-time observability, FPGA co-simulation interoperability, and solver reliability enhancements that directly elevate data fidelity, performance visibility, and integration with FPGA-based validation workflows.
October 2024
Activity
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Quality Metrics
Correctness86.4%
Maintainability86.2%
Architecture82.6%
Performance78.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++CMakeJSONMarkdownN/APythonYAML
Technical Skills
Build System ConfigurationBuild SystemsC++C++ DevelopmentCI/CDCMakeCircuit DesignCo-simulationCode CleanupCode Ownership ManagementCode RefactoringCompiler WarningsData LoggingDebuggingDefensive Programming
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