Sizykh, V.N., Daneev, A.V., Vostrikov, M.V. and Menaker, K.V. (2021) Automation of Microprocessor Relay Protection Devices Based on the Use of Neural Network Technologies. Izvestia Tula State University, Tula, 324-337. (In Russian)

has been cited by the following article:

• TITLE: Comprehensive Automation of Microprocessor Protection Relay Terminals Operated on AC Railways

  AUTHORS: Vostrikov Maksim Viktorovich, Daneev Aleksey Vasilyevich, Menaker Konstantin Vladimirovich, Sizykh Viktor Nikolaevich

  KEYWORDS: Automated System, Microprocessor, Relay Protection Devices, Feeder, Traction Substation

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.10 No.2, February 24, 2022

  ABSTRACT: The article discusses the possibility of a potential reduction in the number of operations of microprocessor relay protection of feeders of the contact network of AC railways TsZA-27.5-FKS (FTS) for unknown reasons. Real statistics on the number of microprocessor relay protection operations at the Buryatskaya traction substation are presented, simulation of the real train situation (in accordance with the regime maps of the throughput capacity of the sections of the Trans-Baikal railway) was carried out in the specialized software complex “KORTES”. Based on the results of the analysis of simulation modeling, the process of forming a unified template of settings using neural network technologies is considered, which characterizes only this specific regular train situation. To protect objects in the event of pre-emergency and emergency modes of operation of the traction power supply system, a variant of changing the standard operation algorithm of the TsZA-27.5-FKS (FTS) terminal by introducing additional blocks for calculating the predictive functions of current and voltage has been proposed.