Benefits and application limits of optimisation methods for grid expansion planning in distribution grids due to future uncertainties of grid utilisation

Integration of the technology and sector coupling is driving the uncertainty in future grid utilization especially for low voltage (LV) networks [1]. Facing this new dynamic development, the grid expansion methods must continue to ensure sustainable solutions for grid expansion despite legal requirements, but also because of equipment life cycles. An optimisation method allows for the analysis whether curative or preventive robust expansion measures are long term beneficial. Existing methods [2] [3] cope with the challenges to specify and coordinate expansion options by division into subprocesses. For utilisation in LV networks a single stage process on basis of the genetic algorithm (GA) should be advantageous by avoiding complex processes or pre-planning [4]. Exemplary results confirm the necessity for a specialised optimisation method for LV network planning processes under uncertainties in future grid utilization future grid utilization. The results display an emphasis on early step expansion, whilst still curative measures are scheduled for later steps. The modified genetic algorithm allows for examination of individual grid topologies in future grid utilization future grid utilization, to determine the optimal amount of robust and short-term measures in planning processes.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2182
Primary Topic
Renewable energy and sustainable power systems
Type
article
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article

Benefits and application limits of optimisation methods for grid expansion planning in distribution grids due to future uncertainties of grid utilisation

Carsten Graeve, Hendrik Vennegeerts
IET conference proceedings.
Renewable energy and sustainable power systems
article

Benefits and application limits of optimisation methods for grid expansion planning in distribution grids due to future uncertainties of grid utilisation

Carsten Graeve, Hendrik Vennegeerts
article en

Abstract

Integration of the technology and sector coupling is driving the uncertainty in future grid utilization especially for low voltage (LV) networks [1]. Facing this new dynamic development, the grid expansion methods must continue to ensure sustainable solutions for grid expansion despite legal requirements, but also because of equipment life cycles. An optimisation method allows for the analysis whether curative or preventive robust expansion measures are long term beneficial. Existing methods [2] [3] cope with the challenges to specify and coordinate expansion options by division into subprocesses. For utilisation in LV networks a single stage process on basis of the genetic algorithm (GA) should be advantageous by avoiding complex processes or pre-planning [4]. Exemplary results confirm the necessity for a specialised optimisation method for LV network planning processes under uncertainties in future grid utilization future grid utilization. The results display an emphasis on early step expansion, whilst still curative measures are scheduled for later steps. The modified genetic algorithm allows for examination of individual grid topologies in future grid utilization future grid utilization, to determine the optimal amount of robust and short-term measures in planning processes.

IET conference proceedings.Vol. 2025(14)
University of Duisburg-Essen (DE)
Openalex Percentile: Top 80%
Renewable energy and sustainable power systems
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