Optimization of grid expansion measures in low voltage grids using an integer linear optimization problem

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Original languageEnglish
Title of host publication2016 IEEE International Conference on Power System Technology, POWERCON 2016
Pages1-6
Number of pages6
ISBN (electronic)9781467388481
Publication statusPublished - 1 Sept 2016

Abstract

Distribution grids, especially the low-voltage (LV) and medium-voltage (MV) grids, recently face major changes. While in the past the supply of the customers was the focus of the grid construction, today the most important issues are the energy infeeds from decentralized power generation at a high simultaneity. This transformation requires a reinforcement and expansion of the LV- and MV-grids, as the strong photovoltaic related grid expansion has already shown in Germany. Many automatized grid expansion algorithms iteratively analyse and fix the highest voltage drop per meter, but are unable to find a solution that keeps cost at a minimum. In this paper a new approach to represent the conventional network expansion in the LV-level as an integer linear optimization problem (ILP) is presented. In the first step, with the help of Dijkstra's algorithm, different paths between the substation and the problematic grid nodes are identified. Subsequently the paths are sorted by identical sections and through the formulation of an ILP the most cost effective grid expansion measures are found.

Keywords

    integer programming, linear programming, power distribution planning, power grids, problematic grid node identification, substation path, Dijkstra algorithm, conventional network expansion, automated grid expansion algorithms, decentralized power generation, energy infeeds, medium voltage distribution grids, low voltage distribution grids, integer linear optimization problem, low voltage grid, grid expansion measure optimization, Power cables, Impedance, Optimization, Substations, Planning, Short-circuit currents, Fuses, Power grids, smart grid, grid expansion, LV-grid optimization

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Optimization of grid expansion measures in low voltage grids using an integer linear optimization problem. / Schlömer, G.; Hofmann, L.
2016 IEEE International Conference on Power System Technology, POWERCON 2016. 2016. p. 1-6 7753923.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Schlömer, G & Hofmann, L 2016, Optimization of grid expansion measures in low voltage grids using an integer linear optimization problem. in 2016 IEEE International Conference on Power System Technology, POWERCON 2016., 7753923, pp. 1-6. https://doi.org/10.1109/powercon.2016.7753923
Schlömer, G., & Hofmann, L. (2016). Optimization of grid expansion measures in low voltage grids using an integer linear optimization problem. In 2016 IEEE International Conference on Power System Technology, POWERCON 2016 (pp. 1-6). Article 7753923 https://doi.org/10.1109/powercon.2016.7753923
Schlömer G, Hofmann L. Optimization of grid expansion measures in low voltage grids using an integer linear optimization problem. In 2016 IEEE International Conference on Power System Technology, POWERCON 2016. 2016. p. 1-6. 7753923 doi: 10.1109/powercon.2016.7753923
Schlömer, G. ; Hofmann, L. / Optimization of grid expansion measures in low voltage grids using an integer linear optimization problem. 2016 IEEE International Conference on Power System Technology, POWERCON 2016. 2016. pp. 1-6
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abstract = "Distribution grids, especially the low-voltage (LV) and medium-voltage (MV) grids, recently face major changes. While in the past the supply of the customers was the focus of the grid construction, today the most important issues are the energy infeeds from decentralized power generation at a high simultaneity. This transformation requires a reinforcement and expansion of the LV- and MV-grids, as the strong photovoltaic related grid expansion has already shown in Germany. Many automatized grid expansion algorithms iteratively analyse and fix the highest voltage drop per meter, but are unable to find a solution that keeps cost at a minimum. In this paper a new approach to represent the conventional network expansion in the LV-level as an integer linear optimization problem (ILP) is presented. In the first step, with the help of Dijkstra's algorithm, different paths between the substation and the problematic grid nodes are identified. Subsequently the paths are sorted by identical sections and through the formulation of an ILP the most cost effective grid expansion measures are found.",
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