In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy sy...In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy systems(IES)is becoming increasingly obvious.In this case,to promote the low-carbon operation of IES and renewable energy consumption,and to improve the IES anti-interference ability,this paper proposes an IES scheduling strategy that considers CCS-P2G and concentrating solar power(CSP)station.Firstly,CSP station,gas hydrogen doping mode and variable hydrogen doping ratio mode are applied to IES,and combined with CCS-P2G coupling model,the IES low-carbon economic dispatch model is established.Secondly,the stepped carbon trading mechanism is applied,and the sensitivity analysis of IES carbon trading is carried out.Finally,an IES optimal scheduling strategy based on fuzzy opportunity constraints and an IES risk assessment strategy based on CVaR theory are established.The simulation shows that the gas-hydrogen doping model proposed in this paper reduces the operating cost and carbon emission of IES by 1.32%and 7.17%,and improves the carbon benefit by 5.73%;variable hydrogen doping ratio model reduces the operating cost and carbon emission of IES by 3.75%and 1.70%,respectively;CSP stations reduce 19.64%and 38.52%of the operating costs of IES and 1.03%and 1.80%of the carbon emissions of IES respectively compared to equal-capacity photovoltaic and wind turbines;the baseline price of carbon trading of IES and its rate of change jointly affect the carbon emissions of IES;evaluating the anti-interference capability of IES through trapezoidal fuzzy number and weighting coefficients,enabling IES to guarantee operation at the lowest cost.展开更多
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...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。展开更多
基金State Grid Gansu Electric Power Company Science and Technology Program(Grant No.W24FZ2730008)National Natural Science Foundation of China(Grant No.51767017).
文摘In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy systems(IES)is becoming increasingly obvious.In this case,to promote the low-carbon operation of IES and renewable energy consumption,and to improve the IES anti-interference ability,this paper proposes an IES scheduling strategy that considers CCS-P2G and concentrating solar power(CSP)station.Firstly,CSP station,gas hydrogen doping mode and variable hydrogen doping ratio mode are applied to IES,and combined with CCS-P2G coupling model,the IES low-carbon economic dispatch model is established.Secondly,the stepped carbon trading mechanism is applied,and the sensitivity analysis of IES carbon trading is carried out.Finally,an IES optimal scheduling strategy based on fuzzy opportunity constraints and an IES risk assessment strategy based on CVaR theory are established.The simulation shows that the gas-hydrogen doping model proposed in this paper reduces the operating cost and carbon emission of IES by 1.32%and 7.17%,and improves the carbon benefit by 5.73%;variable hydrogen doping ratio model reduces the operating cost and carbon emission of IES by 3.75%and 1.70%,respectively;CSP stations reduce 19.64%and 38.52%of the operating costs of IES and 1.03%and 1.80%of the carbon emissions of IES respectively compared to equal-capacity photovoltaic and wind turbines;the baseline price of carbon trading of IES and its rate of change jointly affect the carbon emissions of IES;evaluating the anti-interference capability of IES through trapezoidal fuzzy number and weighting coefficients,enabling IES to guarantee operation at the lowest cost.
文摘针对综合能源系统(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。
