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1.浙江大学电气工程学院,浙江省杭州市310027
2.闽江学院海峡学院,福建省福州市350108
张笑演(1998—),男,硕士研究生,主要研究方向:综合能源系统低碳优化调度、规划技术。E-mail:22010015@zju.edu.cn
王橹裕(1991—),男,博士研究生,主要研究方向:电力系统优化运行与风险调度。E-mail:wang_luyu@zju.edu.cn
黄蕾(1981—),女,博士,副教授,硕士生导师,主要研究方向:管理学。E-mail:1470762728@qq.com
郭创新(1969—),男,通信作者,博士,教授,博士生导师,主要研究方向:能源互联网运行与规划、风险调度、新能源接入。E-mail:guochuangxin@zju.edu.cn
收稿:2022-06-14,
修回:2022-08-19,
网络出版:2022-11-22,
纸质出版:2023-05-10
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张笑演,王橹裕,黄蕾等.考虑扩展碳排放流和碳交易议价模型的园区综合能源优化调度[J].电力系统自动化,2023,47(9):34-46.
ZHANG Xiaoyan,WANG Luyu,HUANG Lei,et al.Optimal Dispatching of Park-level Integrated Energy System Considering Augmented Carbon Emission Flow and Carbon Trading Bargain Model[J].Automation of Electric Power Systems,2023,47(9):34-46.
张笑演,王橹裕,黄蕾等.考虑扩展碳排放流和碳交易议价模型的园区综合能源优化调度[J].电力系统自动化,2023,47(9):34-46. DOI: 10.7500/AEPS20220614001.
ZHANG Xiaoyan,WANG Luyu,HUANG Lei,et al.Optimal Dispatching of Park-level Integrated Energy System Considering Augmented Carbon Emission Flow and Carbon Trading Bargain Model[J].Automation of Electric Power Systems,2023,47(9):34-46. DOI: 10.7500/AEPS20220614001.
文中建立了一种基于供需双侧双重博弈的园区综合能源优化调度模型。首先,引入储能“荷碳率”的概念和调度周期内碳排放守恒原则,建立了扩展的碳排放流模型。基于该模型,在园区内部实施以碳为主导的定价机制,并建立园区和用户的上下双层博弈模型。而在多个园区之间则采用纳什议价模型来模拟各主体参与碳交易市场的博弈行为,从而形成双重博弈机制。采用数据驱动的两阶段鲁棒优化结合自适应交替方向乘子法进行求解,获得最优碳配额交易量和交易价格。最后,算例仿真结果表明所提扩展碳排放流模型的正确性和碳排放流定价机制在降低碳排放方面的作用。同时,也分析了碳交易市场和碳捕集对不同资源禀赋主体的作用以及文中采用算法的有效性。
This paper establishes an optimal dispatching model of the park-level integrated energy system based on a dual game of supply and demand sides. Firstly
the concept of the carbon-to-charge ratio of energy storage and the principle of carbon emission balance during a dispatching period are introduced
and an augmented carbon emission flow model is established. Based on the model
the carbon-oriented pricing mechanism is implemented in the park
and the bilevel game model between the park and its users is established. Besides
Nash bargain model is adopted to simulate the gaming behavior of various entities participating in carbon trading market among multiple parks
so as to form a dual-game mechanism. A data-driven two-stage robust optimization combined with adaptive alternating direction method of multipliers is used to solve the problem. The optimal trading volume of carbon quota and trading price can be obtained. Finally
the case simulation results show the correctness of the proposed augmented carbon emission flow model and the role of pricing mechanism based on carbon emission flow in reducing carbon emission. At the same time
the effect of carbon trading market and carbon capture on different resource endowment entities as well as the effectiveness of the adopted algorithm is analyzed in this paper.
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