A mixed integer nonlinear optimization method for inter well pumping between pumping units in a non energy storage opto electric microgrid

For most cluster wells in low-permeability reservoirs, intermittent pumping is adopted due to insufficient liquid supply, and the introduction of green energy such as photovoltaics and wind power is playing a crucial role in reducing carbon emissions in oilfield production. To address issues such as high energy consumption of well clusters running in manually scheduled staggered well opening and intermittent pumping systems, by taking the start-stop status and the power frequency of each pump, as well as the output of each photovoltaic unit and high-voltage power grid as variables for decision, mutual feedback of electrical energy reversely generated from pump units was achieved using DC bus. Taking into account the constraints of the source-load side according to the production demand of the well cluster, a mixed-integer nonlinear model for staggered well opening and intermittent pumping operation in an energy-storage-free “solar-electric” micro power grid was established with the goal of minimizing the system operating cost. And the model can be solved with Gurobi solver. Case analysis results show that compared to constant operation with high-voltage power grid supply and artificially scheduled intermittent pumping systems, the power consumption of the well cluster was reduced by 35.687% and 15.219%, and the system operating costs were reduced by 35.471% and 23.884%, respectively. Moreover, compared to the latter, the daily production of the well cluster increased by 21.620%. The study introduces photovoltaics into the intermittent pumping system and establishes a scheduling model, which significantly reduces well cluster energy consumption and operating costs, highlighting the effectiveness of the model.