Sustainable and Fair Power System Assessment in IEEE Networks via Python-Based Modeling and Simulation

Guillermo Hernández-Cenzano C.; Cecilia Moreno-Alamo A. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2026) · DOI: 10.18687/laccei2026.1.1.2381

Resumen

This paper assesses steady-state power flow performance in IEEE 9-, 14-, and 39-bus benchmark systems using Python-based simulation tools. Power flow calculations were carried out using Python-based solver settings, including Newton-Raphson and Fast Decoupled Load Flow configurations, to evaluate voltage profiles, line loading, and active and reactive power losses under baseline and modified operating conditions. A renewable integration scenario was then evaluated by introducing distributed generation at selected load buses, with penetration levels defined as a percentage of local demand. The results indicate that appropriately located renewable injections can improve voltage support and reduce total system losses. In the IEEE 39-bus system, active losses decreased from 33.17 MW to 29.71 MW. In addition, voltage deviations and highly loaded lines were used as technical stress indicators to identify areas of potential operational vulnerability. An Optimal Power Flow scenario was examined using fairness-oriented technical indicators to determine whether dispatch decisions can reduce operating cost without increasing voltage or thermal stress. The study shows that conventional power flow analysis can be extended with transparent, reproducible, and equity-sensitive indicators to support sustainable power system planning.

Instituciones: Pontificia Universidad Católica del Perú