Multi-Reservoir Scheduling Optimization with Cooperative Game Based on Coalition Formation Method

The optimization of reservoir operations is vital for rational water resource allocation, ensuring a stable supply for industrial, agricultural, and domestic purposes, and mitigating the risks of floods and droughts. This study approaches reservoir cooperation by considering stakeholder coordination and balancing individual interests with overall system benefits. It constructs a corresponding game model using the coalition formation (CF) method from multi-agent systems (MAS) and provides an optimal coalition formation strategy for multi-reservoir water resource allocation based on the genetic algorithm (GA). The results demonstrate that this method can reduce water supply costs while meeting the water demands of all stakeholders. Additionally, it effectively addresses the issues of water resource waste and low allocation efficiency in the Puyang River basin reservoirs of Pujiang County.

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Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865376
Primary Topic
Optimization and Search Problems
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article
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article

Multi-Reservoir Scheduling Optimization with Cooperative Game Based on Coalition Formation Method

Li Liang, Youqing Wang, Lei Wang, Kai Chen
Optimization and Search Problems
article

Multi-Reservoir Scheduling Optimization with Cooperative Game Based on Coalition Formation Method

Li Liang, Youqing Wang, Lei Wang, Kai Chen
article en

Abstract

The optimization of reservoir operations is vital for rational water resource allocation, ensuring a stable supply for industrial, agricultural, and domestic purposes, and mitigating the risks of floods and droughts. This study approaches reservoir cooperation by considering stakeholder coordination and balancing individual interests with overall system benefits. It constructs a corresponding game model using the coalition formation (CF) method from multi-agent systems (MAS) and provides an optimal coalition formation strategy for multi-reservoir water resource allocation based on the genetic algorithm (GA). The results demonstrate that this method can reduce water supply costs while meeting the water demands of all stakeholders. Additionally, it effectively addresses the issues of water resource waste and low allocation efficiency in the Puyang River basin reservoirs of Pujiang County.

Beijing University of Chemical Technology (CN)
Openalex Percentile: Top 68%
Optimization and Search Problems
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Multi-Reservoir Scheduling Optimization with Cooperative Game Based on Coalition Formation Method — Li Liang, Youqing Wang, et al. · (2024) | TGRS Research Map | TGRS