Research on a Three-Tier Joint Trading Coordination Framework and Benefit Allocation for Provincial Power Grids in Northeast China Under High-Penetration Renewable Energy

To address supply–demand dynamics and inter-provincial resource mismatches under high-penetration renewable integration, this study proposes a tri-level collaborative trading framework for provincial power grids in Northeast China. The system integrates intra-provincial baselines, intra-regional synergy, and inter-regional optimized export through multi-stage optimization models. An improved Shapley value method is further introduced to ensure fair benefit allocation based on electricity contribution and transmission support. Simulation results for the Northeast region show that this collaborative approach reduces generation costs by 13.88% and enhances social welfare by 7.58% compared to independent trading. This framework effectively breaks inter-provincial barriers and provides a theoretical foundation for regional power market planning and security of supply.

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Publication Details

Journal
Electronics
Published
2026-06-18
DOI
https://doi.org/10.3390/electronics15122708
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on a Three-Tier Joint Trading Coordination Framework and Benefit Allocation for Provincial Power Grids in Northeast China Under High-Penetration Renewable Energy

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Electronics
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article

Research on a Three-Tier Joint Trading Coordination Framework and Benefit Allocation for Provincial Power Grids in Northeast China Under High-Penetration Renewable Energy

Yi Yang, Zhen Huang, Linkun Man, Qun Li, Xi Zhang, Jichun Liu, Yikai Wang, Donglin Lv
article en

Abstract

To address supply–demand dynamics and inter-provincial resource mismatches under high-penetration renewable integration, this study proposes a tri-level collaborative trading framework for provincial power grids in Northeast China. The system integrates intra-provincial baselines, intra-regional synergy, and inter-regional optimized export through multi-stage optimization models. An improved Shapley value method is further introduced to ensure fair benefit allocation based on electricity contribution and transmission support. Simulation results for the Northeast region show that this collaborative approach reduces generation costs by 13.88% and enhances social welfare by 7.58% compared to independent trading. This framework effectively breaks inter-provincial barriers and provides a theoretical foundation for regional power market planning and security of supply.

ElectronicsVol. 15(12)
State Grid Corporation of China (China) (CN), Sichuan University (CN)
Openalex Percentile: Top 10%
Integrated Energy Systems Optimization
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