Stochastic modelling of a low voltage distribution network operation

Authors

  • Michal Baherník University of Žilina, Faculty of Electrical Engineering and Information Technology
  • Marek Höger University of Žilina, Faculty of Electrical Engineering and Information Technology

DOI:

https://doi.org/10.18690/jet.19.1.%25p.2026

Keywords:

stochastic modelling, low voltage network, probability density, histogram, load flow, development planning

Abstract

Modelling a low-voltage network operation is becoming increasingly challenging. In the past, deterministic methods adopted from sub-transmission and transmission network analysis were sufficient for operators to assess the operating conditions. However, changes in customer behaviour, household appliance structure, and the growing penetration of residential photovoltaics, EV charging, heat pumps, and air conditioning are altering operating conditions in low voltage networks significantly. Given the strongly stochastic nature of individual customer consumption and generation, deterministic methods are becoming less suitable for proper grid operation analysis and development planning.

This article presents a simple method for stochastic modelling of a network operation, where customer behaviour is described using a system of histograms. The presented approach enables in-depth investigation of operating conditions in low voltage networks, identifying potential operational extremes that compromise safety of operation, while also quantifying the frequency and probability of such events. Application of the method is demonstrated for a typical rural network.

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Author Biographies

  • Michal Baherník, University of Žilina, Faculty of Electrical Engineering and Information Technology

    Žilina, Slovakia; Email: michal.bahernik@feit.uniza.sk

  • Marek Höger, University of Žilina, Faculty of Electrical Engineering and Information Technology

    Žilina, Slovakia; Email: marek.hoger@uniza.sk

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Published

15.07.2026

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Section

Articles

How to Cite

Baherník, M., & Höger, M. (2026). Stochastic modelling of a low voltage distribution network operation. Journal of Energy Technology, 19(1), 31-54. https://doi.org/10.18690/jet.19.1.%p.2026