IEET: DISEGO (BMWK)

Research Project

DISEGO

Critical Components for Distributed and Secure Grid Operation

Abstract

The electrification of the mobility and heating sectors and the sharp increase in EEG feed-in from photovoltaic systems pose a challenge for distribution grid operators, as the electrical distribution grids are not designed for the expected load growth. Intelligent grid automation is therefore required in order to continue to guarantee a high quality of supply in future scenarios, while at the same time minimizing grid expansion through optimal grid expansion strategies. This requires grid status monitoring at low and medium voltage level, as well as the integration of controllable systems in order to use loads and feed-ins in a grid-friendly manner when necessary.

The digitalization of the electrical distribution grid, for example using an energy Internet of Things platform and the establishment of active grid management based on this using smart grid microservices, represents a necessary and possible step. In the DISEGO project, an interdisciplinary network of research and industry is working together. Together, they are pooling their respective expertise in order to develop a sustainable technology and put it into practice. The TUHH's contribution consists primarily of the development of an algorithm for estimating the state of the grid (state estimation) in low-voltage grids. In the process, findings on the influences of different measurement penetrations and errors on the robustness of the aforementioned algorithm and the observability of the grid as well as the integration of new types of components in the grid are taken into account and collected. In addition, the TUHH is responsible for a comprehensive review of the developed approaches in the laboratory using real-time simulations.