Modellgestützte Analyse neuer Stromtarife für Haushalte unter Berücksichtigung bedarfsorientierter Versorgungssicherheitsniveaus

Im Zentrum der Arbeit steht die Ausgestaltung eines von Haushaltskunden akzeptierten Stromtarifs mit variablen Leistungspreisen sowie die Frage, wie sich dieser auf die Nachfrageflexibilität auswirkt. Dazu wird ein entsprechendes Tarifkonzept hergeleitet und mit Hilfe einer empirischen Studie hinsichtlich Akzeptanz und Ausgestaltung untersucht. Die Auswirkungen verschiedener Stromtarife auf die Nachfrageflexibilität werden mit einem entwickelten Bottom-up-Haushaltslastprofilmodell analysiert

The impact of electricity tariffs on residential demand side flexibility

Energy systems based on renewable energy sources require increasing demand side flexibility. Also, changes in the underlying cost structure, i. e., decreasing variable costs and increasing infrastructure investments, and varying customer needs should be reflected in the setup of future markets, including retail markets and electricity providers’ tariffs. While various studies focus solely on tariffs with variable energy prices to leverage residential demand side flexibility, we incorporate tariffs with a variable capacity price component in our analysis. The latter enables electricity providers to offer more differentiated tariffs, considering individual customer needs and a balanced cost allocation. To compare the impact of different tariffs on residential demand side flexibility, we develop a bottom-up load model. This model not only simulates but also optimizes residential load profiles according to different tariffs. In order to account for behavioral aspects, the model is calibrated based on data from a large-scale field trial. Our results show that tariffs with variable energy prices induce larger demand side flexibility, but the impact of tariffs with variable capacity prices is more predictable and reliable from a supplier’s point of view. To enable sustainable business models, politics should change regulations rewarding demand side flexibility and facilitating the technical implementation

Decentralized Energy Systems, Market Integration, Optimization

In this study we develop a flexible modeling toolbox for decentralized electricity systems with an agent-based simulation approach at its core. Two RES-E generation models for wind and PV each with a high temporal and spatial resolution are presented and approaches to model specific aspects of the demand side in detail are introduced. The implementation of an AC load flow algorithm is described and the concept of a market-based congestion management mechanism is outlined

Modellgestützte Analyse neuer Stromtarife für Haushalte unter Berücksichtigung bedarfsorientierter Versorgungssicherheitsniveaus

The central elements of this work are the design of an electricity tariff with variable capacity prices accepted by residential customers and the question how this tariff affects demand flexibility. Therefore, a corresponding tariff concept is developed. Based on an empirical study its acceptance and specific design is analyzed. The impact of different electricity tariffs on demand flexibility is analyzed with a developed bottom-up model for residential load profiles