电力系统自动化2026，Vol.50Issue(2)：35-45,11.DOI:10.7500/AEPS20240229004
考虑电-证-碳机制协同的绿电工业园区分布式优化运行策略
Distributed Optimal Operation Strategy for Green Power Industrial Park Considering Synergy of Electricity-Certificate-Carbon Mechanisms
摘要
Abstract
Under the goals of carbon emission peak and carbon neutrality,playing the synergistic role of the mechanism of green certificate trading and carbon trading,and tapping the joint response capability of different types of industrial loads will have a positive effect on the green transformation and low-carbon development of industrial parks.Therefore,this paper proposes a dynamic pricing and energy management strategy for green power industrial parks considering the synergy of the electricity-certificate-carbon mechanisms.Firstly,the structure and operation mechanism of green power industrial parks is analyzed and an energy management framework of"one-master-multi-slave"is established.Secondly,a two-layer game model is developed with the objective of optimizing the benefits of the park operator and differential industrial loads.The upper-layer model optimizes the dynamic pricing strategy of the operator by considering the linkage between the mechanism of the green certificate trading and the carbon emission trading.The lower-layer model makes full use of the differential characteristics among users to optimize the energy management strategy of the loads.Then,a high-efficiency hierarchical iterative solution algorithm based on the improved alternating direction multiplier method is proposed for the two-layer game model.Finally,a case study is conducted on a typical system to verify the effectiveness of the proposed strategy.关键词
工业园区/能量管理/工业负荷/绿电/绿证交易/碳交易/共享储能Key words
industrial park/energy management/industrial load/green power/green certificate trading/carbon emission trading/shared energy storage引用本文复制引用
杜昊明,胡俊杰,童宇轩,谢东亮,陈磊,王聪..考虑电-证-碳机制协同的绿电工业园区分布式优化运行策略[J].电力系统自动化,2026,50(2):35-45,11.基金项目
国家自然科学基金资助项目(52177080).本文在研究过程中得到国网河北省电力有限公司石家庄供电分公司项目(5108-202218280A-2-427-XG)的支持,特此感谢! This work is supported by National Natural Science Foundation of China(No.52177080). （52177080）
