An oil field is a complex system the operability of which depends on the power supply reliability. The main disturbance in the electrical system is voltage sag which causes transient processes which can lead to a halt in oil production.
The article discusses the transients modeling in the oil production well electrical system, consisting of a transformer, a cable line and a submersible induction motor. The mathematical model has been compiled for calculating transient processes in such systems while each element is described as a separate module containing algebraic and differential equations which allows modeling dynamic and steady-state modes of operation. Dependences of longitudinal and transverse components of stator current and rotor speed of submersible induction motor at start-up, voltage sag and power supply disconnection are obtained.
Keywords: transient processes, electrical system, oil production, submersible induction motor, voltage sag, mathematical modeling
The paper considers the problem of classifying discharge and thermal defects in power transformers according to chromatographic analysis of dissolved gases, for which an expanded feature space has been formed based on concentrations of key gases and diagnostic ratios according to the International Electrotechnical Commission IEC 60599 standard. A comparison of various machine learning methods was carried out, among which the random forest algorithm showed the best results, which ensured maximum accuracy and stability of classification. The developed classifier complements the existing decision support system, providing automatic identification of the nature of defects based on chromatographic analysis of dissolved gases. The results of the study demonstrate the effectiveness of artificial intelligence methods in improving the reliability of transformer equipment diagnostics.
Keywords: power transformer, chromatographic analysis of dissolved gases, defect diagnostics, partial discharge, automated machine learning, ensemble methods, random forest, extra-trees