e2nIEE/pandapower
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
Algorithm ImplementationPower Systems AnalysisSoftware Development
Ajaz Hameed
PROFILE
Ajaz Hameed
Developed an enhancement for the e2nIEE/pandapower repository by implementing BFSW Convergence Iteration Reporting, which exposes the number of iterations required for the BFSW solver to converge, aligning its output with the NR algorithm. This feature was realized by modifying the internal _bfswpf function to return the iteration count and updating _run_bfswpf to store this metric in the ppci dictionary alongside existing results. The work focused on Python development, algorithm implementation, and data-structure augmentation, resulting in improved diagnostic capabilities for power systems analysis and enabling users to more effectively analyze solver performance and convergence behavior.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
18
Activity Months1
Your Network
23 peopleWork History
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Pandapower development focused on enhancing solver observability and parity with NR. Delivered BFSW Convergence Iteration Reporting to expose the number of iterations to convergence, mirroring NR behavior. Implemented by modifying _bfswpf to return the iteration count and updating _run_bfswpf to store this metric in the ppci dictionary alongside existing results. This change is backed by commit ed810fa085bdac4e750a988c022cfbf911f3b93c. Business value: improved diagnostic capability, faster root-cause analysis, and parity with NR results, leading to more reliable performance and user confidence. Technologies/skills demonstrated: Python development, solver integration, data-structure augmentation (ppci dict), and cross-solver design.
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Pandapower development focused on enhancing solver observability and parity with NR. Delivered BFSW Convergence Iteration Reporting to expose the number of iterations to convergence, mirroring NR behavior. Implemented by modifying _bfswpf to return the iteration count and updating _run_bfswpf to store this metric in the ppci dictionary alongside existing results. This change is backed by commit ed810fa085bdac4e750a988c022cfbf911f3b93c. Business value: improved diagnostic capability, faster root-cause analysis, and parity with NR results, leading to more reliable performance and user confidence. Technologies/skills demonstrated: Python development, solver integration, data-structure augmentation (ppci dict), and cross-solver design.
December 2024
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationPower Systems AnalysisSoftware Development
Repositories Contributed To
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