Swiss2Grid

Abstract from the ARAMIS database

The diffusion of decentralized and small scale renewable energy sources arises completely new questions for the present centralized control and management of the grid. The diffusion of decentralized renewables leads to a more fluctuating energy supply and poses an unprecedented challenge to balance the energy supply and demand, requiring new forms of load shifting and storage. The general answers to this challenge are smart-grids, applying information technology for a central control and energy management. The goal of the project is to demonstrate in a pilot project the technical feasibility of decentralized energy production, storage and consumption by combining available and new technologies in an intelligent and locally self-organizing system. The project analyses the practical use of decentralized energy production units in 20 smart private households, plug-ins for storage and environmentally friendly mobility and their impact on the local grid. The key concept of the project is a self-organizing and decentralized load management by an algorithm integrated in the household appliances with the major potential for load shifting and energy generation and storage. The algorithm is designed to control the grid based local and limited information from the grid, such as voltage and frequency, improving the grid performance, the grid stability, and reducing the costs by peak shaving without limiting the consumers. So far the concept of this algorithm has been tested successfully in a simulated environment. The results of the first measurement campaign on the grid have already been used as local information source for the decision process of the algorithm. In the next phase of the project the algorithm will be hosted on the developed household appliance controllers and installed in the 20 houses fully equipped with PV systems for real world testing. The simulation environment for households and the simulation tool for electrical grids are already successfully interacting and will be capable to show to which extend additional information can increase the performance of the algorithm and what will be the effects of an up-scaling of the configuration realized in the pilot project.

Links

https://www.aramis.admin.ch/Texte/?ProjectID=27602

https://www.aramis.admin.ch/Grunddaten/?ProjectID=29654

https://www.aramis.admin.ch/Default.aspx?DocumentID=35008&Load=true