Smart Meter as a Cornerstone for Grid Integration of Renewable Energies

Schaugar Azad, Marcel Ludwig, Markus Zdrallek, Julian Zimpel, Marcus Hörhammer, Christian Breuer, Alexander Schalk, Nils Neusel-Lange, Boris Brandherm, Matthieu Deru, Alassane Ndiaye

In: 9th Solar & Storage Integration Workshop (SIW) Dublin, Ireland. International Workshop on Integration of Solar into Power Systems (SIW-2019) October 15-16 Dublin Ireland Energynautics GmbH Germany 10/2019.


The German energy transition is a new challenge for the energy supply grid. Distribution grid operators are particularly affected, especially since 90 % of the regenerative decentralized generation plants are installed at the distribution grid level. This change can lead to massive voltage band violations and equipment overloads. In principle, these problems can be solved by conventional grid expansion or smart grid solutions. In addition to economic reasons, Smart Grid solutions offer further advantages over conventional grid expansion, such as real-time monitoring of the grid state or problem handling using flexibility mechanisms - also with regard to the use of market-grid interactions. This article describes the added value of smart meters in the integration of regenerative decentralized generation plants with a focus on solar. The Smart Meter Gateway offers a tariff application case for the recording of feed-ins with a resolution of 15 minutes, which are transmitted cyclically, in order to fulfil the specifications for the integration of solar systems between 30 and 100 kilowatts in particular. In addition, this article illustrates how market participants can use the smart meter to map their business models in addition to grid-based control. The aim is to increase the integrability of renewable energy plants or storage facilities by means of flexibility mechanisms. The controllable systems provide a flexible share of the output on the market. In addition, artificial intelligence methods for photovoltaic power forecasting are presented within the framework of grid condition estimation, which results in a minimization of switching operations.


German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz