To achieve climate goals, it is necessary to decarbonise the transport sector, which requires an immediate changeover to alternative power sources (e.g., battery powered vehicles). This change will lead to an increase in the demand for electrical energy, which will cause additional stress on power grids. It is therefore necessary to evaluate energy and power requirements of a future society using e-mobility. Therefore, we present a new approach to investigate the influence of increasing e-mobility on a distribution grid level. This includes the development of a power grid model based on a cellular approach, reducing computation efforts, and allowing time and spatially resolved grid stress analysis based on different load and renewable energy source scenarios. The results show that by using the simplified grid model at least seven times, more scenarios can be calculated in the same time. In addition, we demonstrate the capability of this novel approach by analysing the influence of different penetrations of e-mobility on the grid load using a case study, which is calculated using synthetic charging load profiles based on a real-life mobility data. The results from this case study show an increase on line utilisations with increasing e-mobility and the influence of producers at the same connection point as e-mobility.

Im Rahmen der Thematik der Gestaltung eines smarten zukünftigen kommunalen Energieverbundsystems stehen die zukunftsgerechte Entwicklung der Infrastruktur der unterschiedlichen Energieträger (Wärme, Gas, Strom) sowie die CO 2 -neutrale Energiebereitstellung aus regionalen Ressourcen und eine mögliche Sektorkopplung im Fokus. Basierend auf einem zellularen Ansatz wird im Rahmen des "FFG -Smart Cities Demo"-Projektes "Smart Exergy Leoben" ein Modell entwickelt, welches zeigt, dass rund ein Drittel des elektrischen Gesamtenergieverbrauchs durch Ausbau von Photovoltaik in das örtliche Verteilernetz eingespeist werden kann, ohne im heute bestehenden Netz Überlastungen herbeizuführen. Das Modell zeigt, dass -wie zu erwarten ist -besonders in den Mittagsstunden beträchtliche Energieflüsse in die nächst höhere Netzebene rückgespeist werden. Soll der regionale Autarkiegrad eines solchen elektrischen Verteilernetzes erhöht werden, um Belastungen bzw. einen Ausbau der Netzebenen zu vermeiden, ist eine Integration von Speichern an strategischen Punkten in Betracht zu ziehen. Hierbei wird im gegenständlichen "FFG -Stadt der Zukunft"-Projekt "Move2Grid" die Sektorkopplung des elektrischen Netzes mit Elektromobilität untersucht. Dabei gilt es, zukünftig abzuklären, in wieweit Ladestationen, welche möglicherweise mit stationären Speichern ausgestattet sind, zur Lastglättung beitragen können und so möglichweise nötige Netzausbaumaßnahmen reduziert werden können.Schlüsselwörter: zellularer Ansatz; elektrisches Netz; Mittelspannung; Verteilernetz; Photovoltaik Application of the cellular approach to design energy systems for the future. In order to design a smart urban energy system in the future, the focus is on developing infrastructure for the different energy sources (heat, gas, and electricity), producing energy from renewable energy sources and forcing their hybridisation. Based on the cellular approach it is the goal of the project "Smart Exergy Leoben" to develop a model which shows, that it is possible to feed the grid with about 1/3 of the total electricity consumption produced by

To reduce CO2 emissions, it is necessary to cover the increasing energy demand of e-mobility with renewable energy sources. Therefore, the influence of increasing e-mobility and synergy effects between e-mobility and renewable energy sources need to be investigated. The case study presented here shows results from the analysis of grid-side and energetic synergy effects between e-mobility charged only at work and photovoltaic (PV) potentials. The basis of the grid study is a simplified cell-based grid model. Following the determination of synthetic charging profiles for e-mobility, PV potential profiles, load and production profiles, we perform load flow calculations for different scenarios and a simulation period of one year using the grid model. After the grid study, the energy analyses are carried out using four key performance indicators. The grid study shows that line overloads caused by PV production are only reduced and not avoided by increasing e-mobility and vice versa. The increase in the power peak of e-mobility, by shifting the charging processes into the peak of PV potentials, leads to a reduction of the production surplus in summer, while in winter the line utilisation increases. By modelling PV potentials on real irradiation and temperature data, the investigation of key performance indicators can identify not only seasonal fluctuations but also daily fluctuations.

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