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The paper demonstrates an approach to the creation of the mathematical model of electric power transmission grid with using an artificial neural network for training a centralized system of ACS RPVC. The efficiency of its application was proved during the full-scale experiment on the laboratory bench.

Reactive power has a significant impact on the parameters of the power supply system in the oil and gas industry; as a result, there is a decrease in the quality of the electric network. The relevance of the study is justified by the tasks of improving the quality of electricity in the load nodes consisting of asynchronous motors, one of which is the reactive power compensation, including the calculation and automatic regulation of compensating devices. The aim of the article is to design and research a reactive power compensation control system to improve the quality of electricity. The article proposes a solution to the actual problem of reactive power compensation based on the proposed power quality control algorithm. The system of automatic control of reactive power compensation developed in the Matlab and Simulink software package allows us to generate parameters according to current measurements and adjust the voltage when the load operation mode changes. The use of MOSFET transistors in the control system made it possible to create the necessary compensation currents with a low content of higher harmonics that create distortions in the supply voltage and ensure high speed of the reactive power compensation unit operation.

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