引用本文:乐生铜,张亚超,朱蜀,谢仕炜.考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化[J].电力自动化设备,2024,44(7):278-286
LE Shengtong,ZHANG Yachao,ZHU Shu,XIE Shiwei.Collaborative optimization of configuration-operation for coal-fired power plants with carbon capture considering low-carbon demand response[J].Electric Power Automation Equipment,2024,44(7):278-286
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考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化
乐生铜1, 张亚超1, 朱蜀2, 谢仕炜1
1.福州大学 电气工程与自动化学院,福建 福州 350108;2.国网湖南省电力有限公司调度控制中心,湖南 长沙 410004
摘要:
针对电力系统的低碳经济运行问题,提出一种考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化方法。考虑燃煤电厂发电系统和燃烧后碳捕集系统存在强耦合关系,在gCCS平台采集溶剂型碳捕集燃煤电厂的运行数据,采用多元线性回归方法进行模型参数识别,构建其稳态数学模型。应用碳排放流理论计算负荷侧碳排放成本,并根据机组碳排放强度进行碳配额分配,构建低碳需求响应模型。基于此,上层优化模型以电厂配置成本最低为目标函数,满足容量优化配置约束。下层优化模型以运行成本最小为目标函数,满足系统运行约束。采用改进IEEE 24节点系统作为算例进行仿真分析,验证了所提策略的有效性。
关键词:  碳捕集  双层优化  碳排放流  优化配置  低碳需求响应
DOI:10.16081/j.epae.202404013
分类号:TM734
基金项目:国家自然科学基金资助项目(52307087,61903088)
Collaborative optimization of configuration-operation for coal-fired power plants with carbon capture considering low-carbon demand response
LE Shengtong1, ZHANG Yachao1, ZHU Shu2, XIE Shiwei1
1.School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Electric Power Dispatching and Control Center of Hunan Electric Power Co.,Ltd.,Changsha 410004, China
Abstract:
For the low carbon economic operation problem of power system, a collaborative optimization method for the configuration-operation of coal-fired power plants with carbon capture considering low-carbon demand response is proposed. The operation data of solvent-based carbon capture coal-fired power plants is collected on the gCCS platform, taking into account the strong coupling relationship between the power ge-neration system and the post-combustion carbon capture system. The model parameters are identified by multiple linear regression method, and the corresponding steady-state mathematical model is constructed. The carbon emission flow theory is used to calculate the carbon emission cost on the load side, and the carbon quota is allocated according to the carbon emission intensity of generator units. And then a low-carbon demand response model is established. On this basis, the upper-level optimization model takes the lowest power plant configuration cost as the objective function to meet the capacity optimization allocation constraints. The lower-level optimization model with the goal of minimizing operating cost is established to meet the system operation constraints. The simulation analysis is implemented on the modified IEEE 24-bus system, by which the effectiveness of the proposed strategy is verified.
Key words:  carbon capture  bi-level optimization  carbon emission flow  optimal configuration  low-carbon demand response

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