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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 technique of parametrical identification of alternating current railroad traction network is offered. The technique allows receiving trellised equivalent circuits of a traction network which in the presence of measurements’ errors of voltage and currents vectors which aren't exceeding 0,5 % 0,5º give rather high precision of systems modes calculation of traction power supply, providing the correct solution of many practical tasks. Computer modeling showed that uniform traction network mode errors on voltages don't exceed 0,4 % and 0.2º , on currents - 0,9 %, 1.3º.