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Application intellectual networks (smart grid) technologies for electric power quality management in systems of alternating current railroads’ power supply are considered. The structure of intellectual traction power supply system is described. Classification of management technical means for electric power modes and quality is given. The algorithm of intellectual electrical power traction systems modes’ modeling is offered. This algorithm differs by sharing of imitating and dynamic models of the active smart grid elements in its basis. The modeling results confirm applicability of the developed methods for the solution of electric power quality management’s problems.

The article considers the task of controlling the quality of work transport hub taking into account the performance given by stochastically independent Poisson counter and quasiresonance traffic flows. The problem is solved with the use of analytical and mathematical apparatus of Queuing theory. The results obtained in the article are supposed to be used to determine the forecast of the total free capacity of vehicles waiting for loading, the queue length of loaded vehicles (trains) in anticipation of unloading, the coefficient of use of useful volumes of warehouse complexes.