Abstract

Full Text

Reducing the consumption of electrical energy for own needs (ON) of transformer substations (TS) is an urgent task. In the presented work, using the methods of analysis and synthesis of power electrical equipment operation and optimization methods, a model was developed and studied to reduce the consumption of electricity at the ON substation of the Siberian region. This region is characterized by a long heating season. An integrated model for reducing the consumption of electricity at the SN substation consists of the following components: an intelligent control system for substation autotransformers (AT) cooling and a system for recovering electrical losses of the AT. The developed adaptive system using an artificial neural network includes a frequency-controlled electric drive and will provide optimal control of the AT cooling system, and will also make it possible to increase the energy efficiency of equipment for ON substation power supply. In addition, the intelligent AT cooling control system is directly combined with the AT heat recovery unit. As a base facility, a 500 kV substation is considered, which includes six power autotransformers. The electrical losses of AT are used in this model for the purpose of heating several buildings of the substation. A system for the utilization of electrical losses released in the form of autotransformer oil heat is proposed, which consists of a heat exchanger, a heat pump, connecting pipelines and a control system. The study of the model showed that the thermal energy of electrical losses of autotransformers can be successfully used to replace the thermal power of electric boilers for substation building heating, which will reduce the consumption of electrical energy for the substation needs. The study also showed that for each specific substation, it is necessary to adapt the model depending on its input information: climate, distance of consumers from the AT, heating power, hot water consumption, AT load and other factors. Also, the developed complex model will make it possible to maintain a given temperature regime of equipment operation with a minimum consumption of electricity for cooling.

Keywords

electrical losses, autotransformer, reduction of electrical energy consumption, substation auxiliary needs, heat energy utilization, heat exchanger, autotransformer cooling system

Roman M. Khristinich

D.Sc. (Engineering), Professor, Department of Theoretical Foundations of Electrical Engineering, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Elena V. Khristinich

Ph.D. (Engineering), Associate Professor, Department of Theoretical Foundations of Electrical Engineering, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Alekseу R. Khristinich

Ph.D. (Engineering), Associate Professor, Department of Systems for Ensuring the Movement of Trains, Krasnoyarsk Institute of Railway Transport, Branch of the Irkutsk State University of Railways, Krasnoyarsk, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

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