Multidimensional Hosting Capacity Region in Dutch MV Grid Congestion Management

The hosting capacity determines the grid ability to host integrated installations, where mutual-limitations among points of connection (POCs) are important and formulate a combinational feasible region. Intended to assess such interaction for region determination, this paper proposes a multidimensional hosting capacity region derivation scheme in a radial grid. As this scheme can be designed conservative, it earns more industrial acceptance from a risk-averse perspective. This multidimensional region not only exploits grid power delivery potential, but also benefits for making grid congestion... Mehr ...

Verfasser: Gong, Sicheng
Cuk, Vladimir
Cobben, Sjef
Dokumenttyp: posted-content
Erscheinungsdatum: 2023
Verlag/Hrsg.: Institute of Electrical and Electronics Engineers (IEEE)
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-26639711
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.36227/techrxiv.22256773.v1

The hosting capacity determines the grid ability to host integrated installations, where mutual-limitations among points of connection (POCs) are important and formulate a combinational feasible region. Intended to assess such interaction for region determination, this paper proposes a multidimensional hosting capacity region derivation scheme in a radial grid. As this scheme can be designed conservative, it earns more industrial acceptance from a risk-averse perspective. This multidimensional region not only exploits grid power delivery potential, but also benefits for making grid congestion management decisions. A simulative 10.5kV dutch grid case has been tested accordingly. Corresponding results revealed that the region conservative property is guaranteed. In the given case study, compared to the original hosting capacity concept, the region hypervolume gain ratio keeps higher than 1.94. With proper measure selection, the estimated region occupation ratio can keep up to 92.50% and the congestion management decision computation time can be reduced by 58.0% in respect to that in the monolithic model. Both the effectiveness of proposed scheme and the concept benefit in grid congestion management are successfully verified.