摘要
针对综合能源系统(integratedenergysystem,IES)中碳捕集装置(carbon capture and storage,CCS)和电转气装置(power to gas,P2G)低碳运行配合度低以及储能装置碳排放特性刻画不精确的问题,该文提出一种融合CCS-P2G协同运行模式及储能低碳特性的扩展碳排放流模型。该模型于供能侧构建CCS与P2G的耦合关系,实现P2G的低碳经济运行;于储能侧引入“电碳比(electricity-carbonratio,ECR)”的概念,刻画储能装置的碳排放特性,挖掘供能–储能双侧协调低碳调度潜力。在此基础上,构建考虑风电、电价和电热气负荷等多元不确定性的综合能源系统低碳经济调度模型,为实现模型的快速高效求解,采用并行多维近似动态规划算法,通过构建多层并行循环嵌套框架,在不损失求解精度的前提下,大大提高求解效率。以改进的电网14节点–热网6节点–天然气网6节点(E14-H6-G6)系统和E57-H12-G12系统为例,验证了所提模型和算法的有效性。
With respect to the problems that the low carbon operation compatibility between the carbon capture and storage(CCS)and the power to gas(P2G)devices and the inaccurate description of the carbon emission characteristics of the energy storage devices,an augmented carbon emission flow model integrating the CCS-P2G cooperative operation mode and the low-carbon characteristics of the energy storage is proposed in this paper.On the energy supply side,this model establishes the coupling relationship between the CCS and the P2G to realize the low-carbon economic operation of the P2G;on the energy storage side,the concept of“electricity-carbon ratio(ECR)”is introduced to describe the carbon emission characteristics of the energy storage devices to exploit the potential of the coordinated low-carbon dispatch on both the sides of energy supply and energy storage.Furthermore,a low-carbon economic dispatch model considering multiple uncertainties such as the wind power,the electricity prices,and the electric and heating gas loads is established.In order to solve the model efficiently,the parallel multi-dimensional approximate dynamic programming algorithm is adopted,and the solution efficiency is greatly improved without losing the solution accuracy by constructing a multi-layer parallel loop nesting framework.The effectiveness of the proposed model and method is verified on the E14-H6-G6 system and the E57-H12-G12 system.
作者
张玉敏
孙鹏凯
吉兴全
韩学山
杨明
ZHANG Yumin;SUN Pengkai;JI Xingquan;HAN Xueshan;YANG Ming(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,Shandong Province,China;Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University),Jinan 250061,Shandong Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2023年第8期3174-3183,共10页
Power System Technology
基金
国家自然科学基金青年资助项目(52107111)
山东省自然科学经济基金资助项目(ZR2022ME219)
山东省自然科学基金青年资助项目(ZR2021QE117)。
关键词
低碳经济调度
碳排放流
CCS-P2G协同运行
电碳比
并行多维近似动态规划
low-carbon economic dispatch
carbon emission flow
CCS-P2G cooperative operation
electricity-carbon ratio
parallel multi-dimensional approximate dynamic programming