Cooperative Game-Based Optimization for Oilfield Power System Scheduling Considering CCUS

Carbon Capture, Utilization and Storage (CCUS) technologies are considered as one of the key solutions in the global effort to combat climate change, especially under the framework of the Paris Agreement. First, a model of an integrated power system, which includes renewable energy providers (RES), oilfield well sites, and natural gas combined cycle (NGCC) power generation with carbon capture technology, was constructed. Second, considering the potential for synergistic cooperation among the system’s entities, the operating entities are divided into three groups to form a cooperative alliance. Finally, a cooperative optimal scheduling model for the integrated energy system (IES) is developed, based on cooperative game theory, to allocate cooperative surplus by contribution using the Shapley value method. Through the simulation of an integrated energy system example in the Xinjiang region, this paper demonstrates that the system can effectively promote cooperation among multiple entities within the alliance. As a result, the profit of each entity is significantly improved, and the wind power consumption capacity within the system is effectively enhanced, thus verifying the economic and environmental benefits of the model.