title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½ÐµÑÐ³Ð¸Ð¸ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÑÐ¼Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of an effective model of electricity consumption by electric vehicles
Creators: name: Ð¨ÑÑÑÐ¾Ð², ÐÐ°Ð²ÐµÐ»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð­Ð»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»Ð¸
Ð­Ð»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐ½ÐµÑÐ³Ð¸Ñ
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description: The subject of the graduate qualification work is "Development of an effective model of electricity consumption by electric vehicles." This work is devoted to modeling the influence of the electric load of electric vehicles on the daily load profile in the âMatlabâ software package. For this purpose, the work identifies three main categories of electric vehicle users, for each of which, using the normal distribution, a model of electric vehicle movement in the city is set. In this case, the city and the corresponding road system are represented in the form of a weighted graph, which makes it possible to simulate the movement of an electric vehicle between any two of its peaks along the shortest path using Dijkstra's algorithm. The city's road system corresponds to the real simplified road system of the of St. Petersburg. In this part of the work, the calculation of the energy consumption created by the current number of electric vehicles is carried out, as well as the forecast of the growth of energy consumption with the growth of the electric vehicle fleet, the influence of the load of electric vehicles on the real schedule of the electric load of St. Petersburg is demonstrated. The final part of the work is devoted to measures to reduce the influence of the electric load of electric vehicles on the electric load schedule. For this purpose, solutions are offered in the form of the use of Vehicle-to-Grid technology and the use of incentive billing systems, which have demonstrated their high efficiency.