计及水泥厂直接碳排放碳责任的源-荷低碳优化运行方法

doi:10.11930/j.issn.1004-9649.202401019

摘要/Abstract

摘要：

在新型电力系统对源荷两侧提出更高低碳要求的背景下，电力系统合理的碳责任分摊对源荷协同低碳优化具有重要的指导意义。因此，提出一种计及水泥厂直接碳排放碳责任的源-荷低碳优化运行方法以进一步完善碳责任分摊。首先，分析水泥工业负荷所具有的生产直接碳排放和用电间接碳排放特性，根据该特性下的双向碳排放联结源荷两侧；再以碳排放流理论建立水泥厂双向碳流模型，并提出新碳责任分摊方法。然后，分析源-荷双向碳流特性，以总体碳排放最低为目标，构建电网双向碳流优化模型，评估用户和电网的减碳能力。最后，以IEEE 33节点验证新碳责任分摊的源-荷双向碳流低碳优化运行方法，结果表明在不影响水泥厂生产的前提下，该方法具备实际降碳效益和降碳有效性。

关键词: 碳排放流, 生产直接碳排放, 碳责任分摊, 源-荷双向碳流, 低碳优化运行

Abstract:

Under the background that the new power system presents higher low-carbon requirements on both source and load, reasonable carbon responsibility allocation of the power system has important guiding significance for the collaborative low-carbon optimization of the source and load. Therefore, this paper proposes a source-load low-carbon optimization operation method that takes into account the direct carbon emission carbon responsibility of the cement plant to further improve the carbon responsibility apportionment. Firstly, the characteristics of direct carbon emissions from production and indirect carbon emissions from electricity consumption are analyzed, and the source and load are thus connected on the basis of the bidirectional carbon emission characteristics. A bidirectional carbon flow model is established for cement plant based on the theory of carbon emission flow, and a new carbon responsibility allocation method is proposed. And then, based on an analysis of the bidirectional carbon flow characteristics of source and load, a grid bidirectional carbon flow optimization model is built to evaluate the carbon reduction capability of users and power grid with the objective to minimize the overall carbon emissions. Finally, the IEEE33 node is used to verify the proposed low-carbon optimization operation method of source-load bidirectional carbon flow, and the results show that the proposed method has practical carbon reduction benefits and carbon reduction effectiveness without affecting the production of cement plants.

Key words: carbon emission flow, direct carbon emission from production, carbon responsibility allocation, bidirectional source-load carbon flow, low-carbon optimized operation

中图分类号:

TM732

李江, 范袁铮, 刘博. 计及水泥厂直接碳排放碳责任的源-荷低碳优化运行方法[J]. 中国电力, 2025, 58(1): 141-152.

Jiang LI, Yuanzheng FAN, Bo LIU. A Source-load Low Carbon Optimization Methodology Considering Carbon Responsibility for Direct Carbon Emissions from Cement Plants[J]. Electric Power, 2025, 58(1): 141-152.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202401019

https://www.electricpower.com.cn/CN/Y2025/V58/I1/141

图/表 15

图 1 水泥加工环节碳排放

Fig.1 Carbon emissions from cement processing

表 1 原材料生产碳排放因子

Table 1 Carbon emission factor of raw material production

原材料种类		碳排放因子
石灰石		1.72×10^–2
砂岩		1.42×10^–2
黏土		2.91×10^–4
二水石膏		1.38×10^–1

图 2 双向碳排放主要思路

Fig.2 Main ideas for bidirectional carbon emissions

图 3 模型求解流程

Fig.3 Model solving flow

图 4 参考系统示意

Fig.4 Schematic of reference system

表 2 分布式燃气机组运行参数

Table 2 Operating parameters of distributed gas turbines

参数名称	数值
参数名称	G1	G2
最大输出功率/kW	150	200
最小输出功率/kW	0	0
机组碳势/(kg·(kW·h)^–1)	0.75	0.8

图 5 分布式机组出力对比曲线

Fig.5 Output comparison curve of distributed units

图 6 电网降碳结果

Fig.6 Grid carbon reduction results

表 3 水泥厂拟合结果对照

Table 3 Comparison of cement plant fitting results

组别	M_SE	R
水泥厂1训练组	3.7810^–2	0.979
水泥厂1验证组	2.8710^–2	0.984
水泥厂1测试组	3.6310^–2	0.978
水泥厂2训练组	3.6910^–2	0.976
水泥厂2验证组	3.9810^–2	0.982
水泥厂2测试组	4.2010^–2	0.982

图 7 水泥厂可转移负荷分布

Fig.7 Shiftable load distribution of cement plants

图 8 水泥厂低碳优化运行负荷及碳势变化结果对比

Fig.8 Comparison of low carbon optimization operating load and carbon potential change results of cement plants

图 9 水泥厂低碳优化运行前后碳排放明细

Fig.9 Details of carbon emissions before and after low-carbon optimization operation of cement plants

图 10 峰谷分时电价

Fig.10 Time-of-use tariff

表 4 用户调节用电行为的单日收益明细

Table 4 Daily revenue details for users to adjust their electricity consumption behavior

用户	收益/元
用户	降碳	电费	总计
水泥厂1	44.880	37.275	82.155
水泥厂2	74.562	177.297	251.859

图 11 整体碳排放量优化运行对比

Fig.11 Comparison of overall carbon emission optimization operation

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