$k$ -means based identification of common supply tasks for low voltage grids
Chris Kittl, Džanan Sarajlić, Christian Rehtanz · 2018
Representative and sophisticated network models are often needed for research. Models of real grids are specific and confidential, artificial ones deficient in lifelikeness. This paper presents research contributing to enhanced artificial grid models. As German low voltage grid models cannot be analysed in total, this paper proposes a substitute methodology to group similar supply tasks to be fulfilled by low voltage grids.