Zusammenfassung
Der vorliegende Aufsatz fasst Erkenntnisse zum Gesteuerten Laden von Elektrofahrzeugen zusammen. Es werden zwei Verfahren gezeigt. Das Wind−2-Vehicle-Verfahren (W2V) ist Beispiel für die Nutzung Gesteuerten Ladens, um einer regenerativen Einspeisung folgenden Bedarf zu realisieren. Das Lokale Lastmanagement (LLM) ist Beispiel, um Informationen aus dem Verteilnetz zu nutzen, um die Ladeleistung von Elektrofahrzeugen zeitlich zu begrenzen.
Growing shortage of fossil resources and an increasing demand of individual mobility worldwide require technology alternatives to existing mobility solutions. Electric vehicles (EVs) as one possible solution have moved into the focus of research and development. To maximize the positive environmental effect of EVs, it is proposed to charge them with respect to the availability of renewable energies. As the number of EVs will grow in the near future, their impact on the power distribution grid is no longer neglectable. Related research shows that unmanaged charging of EVs could result in overload situations or voltage instabilities. To overcome this, methods are proposed to manage the charging process holistically. Herein EVs become substantial elements of intelligent power grids (Smart Grids). As of today, research in the area of Smart Grids focuses mainly on either energy aspects or communication aspects while neglecting the interoperability of energy and communication related aspects. In this paper, an insight into Information and Communication Technology (ICT) aspects with respect to Managed Charging of EVs in Smart Grid environments will be given. Based on the use case of Managed Charging, requirements will be analyzed, results will be derived, and ICT solutions will be proposed with a set of recommendations for Smart Grid architectures.
E-Mobility provides a wide potential for diversification of traffic sectors primary energy source. Until now petrol could be seen as the dominating one. The rollout of battery electric vehicles -plug-in-hybrids included -can be supplied by wind, solar, water, and coal and nuclear as the primary energy source. Obviously the rollout is strictly connected to the issue of grid capability to the additional electric load. First investigations show a concentration of charging in the noon and evening hours, which is coincident with common grid load. As a matter of fact there will be an overload on distribution grid devices and voltage dip, especially on low voltages cables, transformers and mid voltage cables. The rate of overload and voltage dip is hardly connected to the amount of supplied electric vehicles as well as to grid topology and galvanic distance between charge points. The following work deals in modeling and optimization basics of the expected electric load "EV" for simulation purposes. An especial architecture for managing EV's with special respect to the German liberalized market will be shown.
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