20.500.12556/DKUM-85291 Method for planning, optimizing, and regulating EV charging Infrastructure The paper presents and solves the problems of modeling and designing the required EV charging service capacity for systems with a slow dynamic component. This includes possible bursts within a peak hour interval. A simulation tool with a newly implemented capacity planning method has been developed and implemented for these needs. The method can be used for different system simulations and simultaneously for systems with high, medium, and low service dynamics. The proposed method is based on a normal distribution, a primary mechanism that describes events within a daily interval (24 h) or a peak hour interval (rush hour). The goal of the presented approach, including the proposed method, is to increase the level and quality of the EV charging service system. The near-optimal solution with the presented method can be found manually by changing the service capacity parameter concerning the criterion function. Manual settings limit the number of rejected events, the time spent in the queue, and other service system performance parameters. In addition to manual search for near-optimal solutions, the method also provides automatic search by using the automation procedure of simulation runs and increasing/decreasing the service capacity parameter by a specifically calculated amount. service system capacity planning bursts rush-hour normal distribution stochastic process servisni sistem načrtovanje zmogljivosti izbruhi prometna konica normalna porazdelitev stohastični proces true false true Angleški jezik Slovenski jezik Znanstveno delo 2023-08-24 15:20:12 2023-08-24 15:20:12 2023-08-25 03:07:52 0000-00-00 00:00:00 2022 0 0 str. 1-33 št. 13, št. članka 4756 Letn. 15 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2022-01-01 621.317:502.21:523.9 113319427 10.3390/en15134756 1996-1073 Method_for_Planning,_Optimizing-Chowdhury-2022.pdf Method_for_Planning,_Optimizing-Chowdhury-2022.pdf 1 1A8E31847CAAC47A83AA322839380145 28f14800a690d46a45378e1fd7c3f86734cc57d6021788b3c01d0f61418bf10a 30f02557-4281-11ee-ac23-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=170308 https://www.mdpi.com/1996-1073/15/13/4756 0 37c140de-4281-11ee-ac23-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=170309 Fakulteta za energetiko Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0