Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios
Guan Shengli, Liu Nian. Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios[J]. Rural Electrification, 2026, (7): 21-25.
Guan Shengli, Liu Nian. Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios[J]. Rural Electrification, 2026, (7): 21-25.DOI: 10.13882/j.cnki.ncdqh.2604F016.
Based on the practical operation of China’s power system
this paper constructs a four party evolutionary game model and focuses on analyzing the influence of key factors such as policy subsidies
load response capability
and renewable energy output fluctuations on the behavioral choices of different participants. Meanwhile
an improved Shapley value method is introduced to design a benefit allocation scheme that better matches domestic engineering practice by comprehensively considering four indicators: cost input
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