Currently, green energy—such as wind and solar power—is increasingly integrated into oilfield operations, yet its inherent volatility and periodicity pose significant challenges. Efficient regulation of pumping well groups to consume new energy power is crucial for realizing an integrated “source-grid-load-storage” system in the oilfield. To address this, the paper proposes a distributed model predictive control (DMPC) strategy for power regulation of pumping well groups. First, a pumping well group model is developed that accounts for the global coupling of well group power. Under the safety constraints of oil well operation, the alternating direction method of multipliers (ADMM) is then employed to decompose the global optimization problem into local subsystem optimization problems, thereby deriving the well group control law. Additionally, a priority scheduling mechanism is designed to preferentially allocate power to high-producing wells based on their productivity differences. Simulation results validate the effectiveness of the proposed approach.