POLYCRITERIA APPROACH TO THE ANALYSIS OF ACTIONS FOR INCREASING ELECTROMOTIVE LOADING STABILITY OF THE OIL-EXTRACTING ENTERPRISES

Relevance. The oil field technological systems operability directly depends on power supply reliability. The most frequent power supply interruptions are voltage sags which can bring to stability loss of electromotive loading that results in economic losses of the oil-extracting enterprise. Various equipment, for example, dynamic voltage restore and standby power supply, can be used to increase the electromotive loading stability. The correct setup of power supply resumption equipment by automatic connection of the standby power supply at shutdown of the working power supply allows increasing electromotive loading stability, however at the same time it is necessary to consider power supply independence. The main aim of the research is to develop the polycriteria approach to the analysis of actions for increase in electromotive loading stability of the oil-extracting enterprises considering economic and technical factors. Objects of the research are electromotive loading and equipments for increase in electromotive loading stability. Methods: mathematical modeling of electromotive loading operating at voltage sags; mathematical modeling of equipment for increase in electromotive loading stability; economic efficiency assessment of equipment for increase in electromotive loading stability. Results. The authors have proposed the polycriteria approach to the analysis of actions for increase in electromotive loading stability of the oil-extracting enterprises considering economic and technical factors. Voltage stability reserve coefficient, power supplies dependence coefficient and capital investments economic efficiency coefficient were used for efficiency assessment of actions to increase in electromotive loading stability. The analysis of use efficiency of dynamic voltage restore and high-speed automatic transfer equipment for increase in loading stability of sectional pump stations and well clusters was carried out.