TY - GEN
T1 - Cooperative Game-Based Optimization for Oilfield Power System Scheduling Considering CCUS
AU - Fang, Shun
AU - Li, Yi Chang
AU - Xiang, Yufeng
AU - Wang, Xueying
AU - Jin, Zhong
AU - Jia, Zhiyang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - CCUS
KW - Cooperative Game Theory
KW - Optimized Operation Strategy
UR - http://www.scopus.com/inward/record.url?scp=105005571271&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-4963-1_41
DO - 10.1007/978-981-96-4963-1_41
M3 - Conference contribution
AN - SCOPUS:105005571271
SN - 9789819649624
T3 - Lecture Notes in Electrical Engineering
SP - 455
EP - 466
BT - Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I
A2 - Yin, Guangqiang
A2 - Liu, Xiaodong
A2 - Su, Jian
A2 - Yang, Yangzhao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Computer Engineering and Networks, CENet 2024
Y2 - 18 October 2024 through 21 October 2024
ER -
