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文章摘要
计及多重不确定性的低碳综合能源系统动态定价策略
Dynamic pricing strategy of low-carbon integrated energy system considering multiple uncertainties
Received:November 28, 2022  Revised:December 05, 2022
DOI:10.19753/j.issn1001-1390.2025.05.001
中文关键词: 综合能源运营商  负荷聚合商  碳排放  不确定性
英文关键词: integrated energy operator, load aggregator, carbon emission, uncertainty
基金项目:国家重点研发计划资助项目(2022YFA1004600)
Author NameAffiliationE-mail
bian xin yi* Shanghai University of Electric Power bianxy1996@126.com 
Fan Hong Department of Electrical Engineering, Shanghai University of Electric Power fan_honghong@126.com 
Zeng Bo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University alosecity@126.com 
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中文摘要:
      双碳背景下,寻求可持续的能源生产与消费方式尤为重要。为进一步提升综合能源系统的经济性与低碳性,文章构造了综合能源系统(integrated energy sysytem,IES)结构,在系统中改进加入碳捕集器与电转气装置,并考虑含有阶梯式碳交易的优化机制进一步控制碳排放;建立该系统下能源运营商与负荷聚合商主从定价模型,将运营商作为领导者优化电价和出力规划策略,通过鲁棒优化与机会约束解决电价及风光的多重不确定性问题;将负荷聚合商作为跟随者优化用能策略,实现其效益最大化;利用双变异的改进差分进化法结合YEMIP与CPLEX工具在MATLAB中进行仿真,结果验证该模型不仅能较好地平衡综合能源运营商与负荷聚合商之间的利益,也能有效地降低碳排放,提升系统应对不确定风险的能力。
英文摘要:
      Under the dual carbon background, it is particularly important to seek sustainable energy production and consumption. In order to further improve the economy and low carbon of the integrated energy system, the paper constructs the structure of the integrated energy system (IES), improves and adds carbon capture devices and electric-to-gas devices in the system, and considers the optimization mechanism with stepped carbon trading to further control carbon emissions. The master-slave pricing model of energy operators and load aggregators under the system is established. The operator is taken as the leader to optimize the electricity price and output planning strategy, and solve the multiple uncertainties of electricity price and scenery through robust optimization and opportunity constraints. The load aggregator is regarded as the follower to optimize the energy utilization strategy to maximize its benefits. The improved differential evolution method of double variation is used in combination with YEMIP and CPLEX tools for simulation in MATLAB, and the results verify that the model can not only better balance the interests of comprehensive energy operators and load aggregators, but also effectively reduce carbon emissions and improve the ability of the system to deal with uncertain risks.
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