Research on intelligent power supply control based on sensor-less temperature identification of Electric Submersible Motor

This paper proposes a sensor-less temperature identification and an intelligent power supply method for Electric Submersible Motor (ESM) in oil wells. With measurements obtained from the proposed identification, a thermodynamics module is established for the temperature and the fault detection. Besides, the relationship between the rotor temperature and the load can be calculated. Then based on different loads, suitable ratios of voltage to frequency in different conditions can be captured. Finally, the control of the ratio enables power supply to match the oil pump output automatically. The experimental results from an ESM (12kW) in lab are shown to validate the proposed method. The whole scheme is effective and reliable and is therefore suitable to reduce the maintenance frequency of oil pumps and the power consumption of oil wells.