Abstract. The impact of a higher share of distributed generation units is shown using the example of PV systems. A LV network with partly meshed and partly radial topology has been examined. Standard load profiles have been applied to obtain results with a resolution of 15 minutes. Feed-in profiles are compared with a data set based on measured values to model PV generation. Two extreme cases for transformer loading and compliance with voltage limits are high load (winter) without PV and low load (summer) with PV feed-in. In the latter case, power flow via the transformer was reversed during certain periods of the day. At the same time, voltage was increased especially at a long electrical distance from the transformer.
This contribution proposes a method to analyze the capabilities of low voltage grids to meet the demands of additional loads due to electric mobility. Probabilistic load models for both the domestic and electric vehicle loads are developed to give insight into the stochastic nature of load distribution and voltage bands. The results not only provide the maximum voltage deviations, but their probability of occurrence during a given period of time. With this information, a recommendation for future grid planning can be developed, which takes into account the increasing load caused by electric mobility. Furthermore, a load management system is proposed to reduce maximum load thus avoiding costs for increasing feeder capacities
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