Stochastic assessment of electric car charging on LV grids

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Dr. Farkas Csaba
Department of Electric Power Engineering

Nowadays nations are focusing more and more on the spread of electrical vehicles which are possible means of transport in the field of driving beside usual petrol and diesel fueled vehicles. One of the major motivation of the electric vehicle spreading is the continuously growing energy and environmental problems, such as the decrease of oil stocks which could be also a serious problem in the field of transport. Due to the growth of oil prizes, and the dependency from big oil exporter countries there is a great influence on the progression of interest for the new driving method.

Several factors influence the spread of electrical vehicles, out of which the development of charging methods might have one of the most important role. The range and reliability of the electrical vehicles could be improved by the configuration of charger infrastructure. The implementation of electrical vehicles charging could change significantly the operation of distribution network which is owned by power companies. Chargers for electrical vehicles could appear as excess loads beside loads on well-known consumer points.

I demonstrate the main charging methods in my dissertation, out of which I test in detail the impact of slow charging method, which are used in households, on the electrical network. I do the research in simulation environment in which I model already known transformer environments. I implement electrical car chargers, used in households into the already existing networks supposing different penetration rate of electrical cars. I do stochastic simulation on the constructed models, with the help of these simulations I can draw conclusions with more general validity about the electrical vehicles charging impacts on distribution network.


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