A.A. Yarkina1, R.N. Khamitov2
1 Omsk State Technical University (Omsk, Russia)
2 Institute of Industrial Technologies and Engineering, Industrial University of Tyumen (Tyumen, Russia)
1ayarkina83@mail.ru, 2apple_27@mail.ru

The task of maintaining the optimal level of natural gas production and export, taking into account the changing direction of flows to the East, poses new challenges for the industry that require adaptation from the industry. At the moment, the design of the power supply system is considered in a static state, the parameters are taken based on the first stage of field development – the stage of pilot industrial operation (PIO). This solution cannot be satisfactory, because the accumulated experience of operating gas field power supply systems shows that the optimal solution found for a certain period is disrupted during the transition to the next stage of the field cycle due to changes in electric energy consumption caused by the transformation of gas production technology (increased load). Currently, a new technical tool, artificial intelligence, has appeared to optimize energy consumption, and accordingly, it has become possible to set new tasks. The purpose of the study is to create a mathematical tool for machine learning of artificial intelligence – a model of a distribution grid of a double through main of gas fields, consisting of two single-chain overhead line poles. Using the theory of experimental planning, a linear model of the gas field distribution grid is constructed – a double through main, which is structurally made of two single-chain overhead power lines. The linear model of the distribution grid consists of eight regression equations. It is described by four factors: the number of gas well clusters (GWC), the length of overhead lines, the load gain coefficient, and the load distribution coefficient along the power transmission line. The distinctive feature of the obtained linear model is its applicability to the grids of the first and second categories of power supply to consumers, the expansion of the range of three factors, namely: increased the number of GWC from 16 to 20, increased the length of the overhead power line from 20 km to 40 km, increased the load gain from 10 to 25. The extended range of changes in factors allowed the model to be applied to deposits in the Extreme North and the northeastern part of Eurasia (the Republic of Sakha (Yakutia)). Also, the expansion of the range of changes in factors makes it possible to select the voltage to take into account the entire life cycle of the field, including for the drilling period of production wells. Seven regression equations enable to count approximately the total discounted costs of a distribution grid consisting of two single-circuit overhead poles for standard voltage classes from 3 to 220 kV. The eighth regression equation is the calculation of the optimal stress class, constructed using the Lagrange method for three points. As an example, the paper analyzes the distribution grid of the Verkhnevilyuchanskoye oil and gas condensate field, and recommends a voltage class of 20 kV. Calculations have shown that the optimally selected voltage class at the design stage allows oil and gas companies to save up to 41% of the total discounted costs. The developed linear model can be recommended for integration and application in design institutes, as well as in the formation of a conceptual pre-design study of power supply systems for gas fields.

Yarkina A.A., Khamitov R.N. The choice of rational voltage for the distribution grid circui t: a double through line consisting of two single-circuit overhead power lines. Nonlinear World. 2026. V. 24. № 1. P. 5–22. DOI: https:// doi.org/10.18127/ j20700970-202601-01 (In Russian)

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