王雷雷, 高红均, 刘畅, 蔡文辉, 胡铭洋, 刘俊勇. 考虑分时碳计量的智能楼宇群电–碳耦合互动共享[J]. 电网技术, 2022, 46(6): 2054-2063. DOI: 10.13335/j.1000-3673.pst.2021.2144
引用本文: 王雷雷, 高红均, 刘畅, 蔡文辉, 胡铭洋, 刘俊勇. 考虑分时碳计量的智能楼宇群电–碳耦合互动共享[J]. 电网技术, 2022, 46(6): 2054-2063. DOI: 10.13335/j.1000-3673.pst.2021.2144
WANG Leilei, GAO Hongjun, LIU Chang, CAI Wenhui, HU Mingyang, LIU Junyong. Electricity Carbon Coupling Sharing Among Intelligent Buildings Considering Time-of-use Carbon Emission Measurement[J]. Power System Technology, 2022, 46(6): 2054-2063. DOI: 10.13335/j.1000-3673.pst.2021.2144
Citation: WANG Leilei, GAO Hongjun, LIU Chang, CAI Wenhui, HU Mingyang, LIU Junyong. Electricity Carbon Coupling Sharing Among Intelligent Buildings Considering Time-of-use Carbon Emission Measurement[J]. Power System Technology, 2022, 46(6): 2054-2063. DOI: 10.13335/j.1000-3673.pst.2021.2144

考虑分时碳计量的智能楼宇群电–碳耦合互动共享

Electricity Carbon Coupling Sharing Among Intelligent Buildings Considering Time-of-use Carbon Emission Measurement

  • 摘要: 用户侧楼宇群作为未来城市能耗的主要源头,能源管理的经济性、低碳性要求不断提升,在此背景下,高比例光伏配置下的光伏楼宇与其他类型楼宇如何进行合作共享具有重要的研究意义。以具有不同用能特性的智能楼宇为研究对象,提出了考虑分时碳计量的智能楼宇群电力–碳排放权(以下简称“电–碳”)耦合互动共享策略。首先,构建了考虑碳排放权盈余及电量供需的智能楼宇群市场交易模式。其次,考虑不同时段能源供给侧发电机组组成成分差异使得需求侧对应等效碳排放也不同,构建了上级网络购电分时碳计量模型及阶梯式碳奖惩方法。然后,提出了基于改进供需比的智能楼宇群电–碳耦合共享模型,并根据供需比生成的动态价格引导各楼宇调整用能计划,通过楼宇群间互动迭代,最终得到楼宇群的最优共享方案。最后,以3类楼宇为例验证了所提模型对促进清洁能源消纳及联盟内部碳减排的有效性。

     

    Abstract: As the main source of urban energy consumption in the future, the user side building groups have continuously improved in their economic and low-carbon requirements of energy management. In this context, it is of great significance for the photovoltaic buildings with high proportion of photovoltaic configuration to cooperate and share with the other types of buildings. Taking the intelligent buildings with different energy consumption characteristics as the research object, this paper proposes a power carbon emission right (hereinafter referred to as "power carbon") coupling interactive sharing strategy of the intelligent buildings considering the time-sharing carbon measurement. Firstly, a trading model of intelligent building group market considering carbon emission right surplus and power supply and demand is constructed. Secondly, as the differences in the composition of generator units on the energy supply side in different periods may cause the corresponding equivalent carbon emissions on the demand side to be different, this paper constructs the time-sharing carbon measurement model of superior network power purchase and puts forward the stepped carbon reward and punishment. Then, an electricity carbon coupling sharing model of the intelligent building groups based on the improved supply-demand ratio is proposed. According to the dynamic prices generated by the supply-demand ratio, the adjustment of building energy consumption plan in the alliance is guided. Through the interaction and iteration between the building groups, the optimal sharing scheme of building groups is obtained. Finally, three types of buildings are taken as examples to verify the effectiveness of the proposed model in promoting clean energy consumption and carbon emission reduction within the alliance.

     

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