Roman Bolgaryn
Engineer, Power Systems at Orennia
Golden, Colorado, United States
Summary
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Rockstar🎓
Top SchoolRoman Bolgaryn is an engineer specializing in power systems with nine years of experience bridging research and applied engineering across European institutes and U.S. labs. He has held roles from research fellowships to applied engineering positions at Fraunhofer IEE, University of Kassel, NREL, and now Orennia, focusing on thermal-aware and time-dependent power flow modeling. An active contributor to the pandapower project, he implemented time-dependent power flow (TDPF) features—adding Jacobian formulations and temperature-dependent controllers that combine Frank et al. and Ngoko et al. approaches for overhead line thermal inertia. Roman’s work blends rigorous academic methods with production-oriented code, enabling more realistic dynamic line rating and asset-temperature modeling in open-source tools. Based in Golden, Colorado, he brings a research-driven mindset to practical grid engineering challenges, often surfacing nuanced thermal-electrical interactions that traditional steady-state studies miss.
9 years of coding experience
2 years of employment as a software developer
FH Technikum Wien
Github Skills (7)
python10
linear-algebra10
numerical-analysis9
scipy9
differential-equations8
linear-programming8
data-analysis8
Programming languages (5)
Github contributions (5)
e2nIEE/pandapower
Jan 2017 - Jan 2023
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 releases, 213 reviews, 1235 commits in 6 years
Contributions summary:Roman appears to be developing features related to time-dependent power flow (TDPF) modeling. Their contributions include implementing and fixing aspects of the TDPF in the pandapower framework, including the equations to define the Jacobian matrix and the power mismatch equations. They have focused on integrating the approaches of Frank et al. and Ngoko et al. for overhead line temperature and thermal inertia calculations. The work also involves implementing the user's own controller for the temperature-dependent power flow.
pythonanalysisoptimizationsystem-modellingstate-estimation
rbolgaryn/pandapower
Feb 2020 - Feb 2023
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Contributions:1 review, 159 commits, 12 PRs in 3 years
pythonsystem-modellinganalysispower-systempower
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