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In this paper, an optimization problem of the daily schedule for charging/discharging of electric vehicles (EVs) is solved in order to minimize the energy costs. Results are obtained for the microgrid with renewable energy sources and the savings are calculated based on daily curves of non-deferrable load demand, photovoltaic and wind energy production and variable buying/selling energy prices from the energy market. The optimization results are given for different battery capacities of EVs fleet, charger power and types of renewable energy sources. Lingo program is used to solve this optimization problem.

Lightning detection networks installed throughout the world provide data for obtaining flash density maps and information about lightning discharges characteristics. According to the IEC 62858 Standard, lightning data for at least ten years is required to ensure that short time scale variations in lightning parameters are accounted for. LINET (European Lightning Detection Network) was installed in Serbia in 2008, so its data for the last ten years period are used for the analysis in this paper. LINETGIS is a new software application based on geographical information system (GIS) technology in order to obtain regional flash density maps of Serbia. LINETGIS application may be used for up-to-date regional flash density maps of Serbia, but also for any other GIS covered area.

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