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1.华南理工大学电力学院,广东省广州市 510640
2.广东省绿色能源技术重点实验室,广东省广州市 510640
3.南方电网科学研究院有限责任公司,广东省广州市 510663
Received:26 November 2023,
Revised:2024-02-25,
Published Online:21 May 2024,
Published:25 September 2024
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谢敏,黄莹,卢燕旋等.基于绿电减排量互认的建筑虚拟电厂电-碳双层协同决策机制[J].电力系统自动化,2024,48(18):25-37.
XIE Min,HUANG Ying,LU Yanxuan,et al.Electricity-Carbon Double-layer Collaborative Decision-making Mechanism for Building Virtual Power Plant Based on Mutual Recognition of Green Electricity Emission Reduction[J].Automation of Electric Power Systems,2024,48(18):25-37.
谢敏,黄莹,卢燕旋等.基于绿电减排量互认的建筑虚拟电厂电-碳双层协同决策机制[J].电力系统自动化,2024,48(18):25-37. DOI: 10.7500/AEPS20231126001.
XIE Min,HUANG Ying,LU Yanxuan,et al.Electricity-Carbon Double-layer Collaborative Decision-making Mechanism for Building Virtual Power Plant Based on Mutual Recognition of Green Electricity Emission Reduction[J].Automation of Electric Power Systems,2024,48(18):25-37. DOI: 10.7500/AEPS20231126001.
在“双碳”背景下,电-碳多政策并举和多市场并存局面带来了电能环境权益重复奖惩的问题。针对该问题,提出了基于减排量等效的绿色电力-国家核证自愿减排量(CCER)互认方法,将绿色电力的环境权益统一归属至用户侧,并以建筑主体为研究对象对互认方法进行验证。首先,依据减排特性差异
将建筑分为强制性建筑、减排性建筑、零碳建筑3类,以建筑虚拟电厂为CCER互认的代理。其次,针对建筑虚拟电厂内部CCER分配问题,提出了基于Shapley值法的分配方法,以保证分配的公平和合理性。然后,针对建筑主体面临的电-碳协同决策问题,提出了基于能源共享原则的电-碳双层协同交易机制,并基于主从博弈理论构建双层决策模型,结合供需比概念对模型进行凸化。最后,通过算例仿真验证了互认方法的可行性及电-碳双层协同决策机制的有效性。
In the background of “carbon emission peak and carbon neutrality”
the coexistence of multiple electricity-carbon policies and markets has brought about the problem of repeated rewards and punishments for the environmental rights and interests of electric power. To solve this problem
this paper proposes a green electricity-Chinese certified emission reduction (CCER) mutual recognition method based on emission reduction equivalence
uniformly assigns the environmental rights and interests of green electricity to the user side
and the building entity is taken as the research object to verify the mutual recognition method. Firstly
according to the difference of emission reduction characteristics
the buildings are divided into mandatory buildings
emission-reducing buildings and zero-carbon buildings
and the building virtual power plant (BVPP) is used as the agent of CCER mutual recognition. Secondly
aiming at the internal CCER distribution problem of BVPP
a distribution method based on Shapley value method is proposed to ensure the fairness and rationality of the distribution. Then
an electricity-carbon double-layer collaborative trading mechanism based on the principle of energy sharing is proposed for the electricity-carbon collaborative decision-making problem faced by the building entity
and a double-layer decision-making model is constructed based on Stackelberg game theory. The model is convex by combining the concept of supply-demand ratio. Finally
the feasibility of the mutual recognition method and the effectiveness of the electricity-carbon double-layer collaborative decision-making mechanism are verified by the case simulation.
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