Work

Avoiding false inter-zonal meshing in the clustering of a large-scale German power grid

Year: 2024

Type: article

Abstract: Reducing the spatial complexity is a crucial task in present power grid based energy system modelling as the complexities of nowadays models rise. This work adds a Dijkstra’s algorithm to a commonly used k-means Clustering method significantly avoiding false inter-zonal meshing. The novel approach is used to reduce the spatial complexity of a German transmission and sub- transmission grid model. Consequently, a more accurate modelling of inter-cluster connections results in higher grid expansion needs and substantially changed spatial allocations of network and storage expansion. Where geographical or political borders have led to detached grid topologies (e.g. the former inner-German border), the impact is particularly high due to the effective prevention from substantial overestimation of inter-zonal line capacities. The presented work follows open source and open data principles.

Source: Energy Strategy Reviews

DOI: 10.1016/j.esr.2024.101569

Authors: Katharina Esterl, Carlos Andrés Epia Realpe, Ulf Philipp Müller

Institutions: Europa-Universität Flensburg, Flensburg University of Applied Sciences

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $3,260