The algorithm for selecting the optimal voltage class of the gas field power supply system, taking into account the entire life cycle

The paper proposes an algorithm for choosing the optimal voltage class of a power supply distribution grid of gas well clusters, in which there is a multiple electrical load increase during field’s life cycle. Building a mathematical model with considering factors allows to design both a trunk line...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-05, Vol.1901 (1), p.12068
Main Authors: Bogachkov, I M, Khamitov, R N
Format: Article
Language:English
Subjects:
Algorithms
Clusters
Costs
Design factors
Economic models
Electric potential
Electric power distribution
Electrical loads
Gas wells
Mathematical models
Optimization
Physics
Power supply
Response functions
Voltage
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Summary:The paper proposes an algorithm for choosing the optimal voltage class of a power supply distribution grid of gas well clusters, in which there is a multiple electrical load increase during field’s life cycle. Building a mathematical model with considering factors allows to design both a trunk line and a single radial grid and evaluate the magnitude and direction of the influence of individual factors, i.e. to conduct a quantitative analysis of the gas field power supply diagram. An extreme experiment is used to construct mathematical models. The optimization parameter is accepted as economic-the minimum of discounted costs. The paper presents six response functions-regression equations. The distribution grids of a number of operating gas fields in Western Siberia have been investigated taking into account the entire life cycle of the field at “PRON” computer program. The proposed algorithm can be used in the design of the power supply system for new gas fields, which allows to select the optimal voltage class for the power supply system of gas clusters, considering the entire life of the gas field, taking into account the minimum discounted costs. It can improve the efficiency of decisions, reduce funds and design time.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1901/1/012068