access icon openaccess Energy-saving system of secondary balance for the hybrid power of the pumping unit

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 03/10/2018, Accepted 17/10/2018, Revised 14/10/2018, Published 22/10/2018

The pumping unit is the main equipment for oil production in the oilfield. However, its serious energy consumption has greatly increased the cost of oil extraction. The reason of this phenomenon is the undesirable primary and secondary balance cannot make the motor run steadily in the high efficiency load rate interval, leading to low efficiency and great loss of the motor. In this paper, the secondary balance system for hydraulic hybrid power of pumping unit is developed, which can store the potential energy of the lower stroke in the accumulator and release it in the up stroke. It can effectively fill and reduce the wave valley and peak of the load rate curve, so that the motor can run in the high efficiency for a long time. The controller of the secondary balance system has a self-learning method based on the multiple populations' genetic algorithms. It can reflect the real load by detecting the motor operating parameters, improving the response speed. At last, use AMEsim to simulate the hydraulic system, and compare the load fluctuation and motor energy consumption before and after setting energy-saving system. It is proved that the energy saving effect of the system is extremely remarkable.

Inspec keywords: energy consumption; hydraulic systems; pumps; learning (artificial intelligence); genetic algorithms

Other keywords: secondary balance energy-saving; oil extraction; traditional pumping unit; serious energy consumption; electricity consumption; primary balance; hydraulic hybrid power; oil field; potential energy; total energy consumption; oil production accounts; secondary balance system; high-efficiency load rate interval; energy-saving effect

Subjects: Learning in AI (theory); Control of hydraulic systems; Optimisation techniques

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