Managing energy in time and space in smart grids using TRIANA

Abstract

Increasing electrification will push low-voltage networks to the limits of their capacity and imposes serious threats to the supplied power quality (PQ). Demand side management (DSM) is often seen as a promising solution. In this paper we exploit network models to improve the performance of DSM on a physical grid by managing energy in both time and space. The TRIANA methodology is used to integrate network topologies. Simulated results show that this approach is promising. With the integration of network models, no PQ violations of the EN-50160 regulations are reported and no network asset is overloaded. The distribution losses are reduced by 26.9% when compared to the approaches where no grid topology is considered. These improvements are achieved without significant load profile flattening performance reductions.