Multi-energy Complementary Optimization Scheduling Considering Oilfield Load Characteristics and Associated Resources

At present, oilfield production is facing the national requirements of "carbon peak and carbon neutrality". The oilfield distribution network has the characteristics of relatively fixed structure and difficult to reduce active power loss. Based on this, this study focuses on the efficient use of renewable energy in the oilfield power grid while considering load characteristics and associated resources, aiming to achieve a clean and low-carbon energy supply mode by building a multi-energy complementary system. Through an in-depth analysis of the source-load operation characteristics of the oilfield power grid, the corresponding system structure is proposed, and the energy flow model is established using a standardized modeling method. On this basis, the optimization goals of reducing the comprehensive operating cost and improving the renewable energy absorption capacity are set. Through MATLAB modeling and simulation, the effectiveness of the established multi-energy complementary system optimization and control model was successfully verified, providing strong support for the efficient operation of the oilfield power grid. This achievement not only helps to improve the oilfield power grid's ability to absorb renewable energy, but also effectively reduces operating costs and promotes the development of oilfields in a more environmentally friendly and economical direction.