为实现能源多梯度利用并减少环境污染,气-电耦合的综合能源系统(integrated energy system,IES)逐渐占据全球能源结构的重要部分.为明晰系统运行特性并充分挖掘能源子网调度潜力,综合能源系统动态仿真研究逐渐深入.天然气网中,管道传输过程深刻影响着其动态过程.然而现有管道传输过程时域仿真算法存在着精度与效率的两难.为解决上述问题,提出一种基于时域二端口模型的综合能源系统气网动态仿真算法.首先基于特征线法,构建气网源荷节点关系矩阵,进一步给出时域二端口模型;随后参考特征线法数值格式,构建状态量空间分布矩阵,用于获取气网状态量分布,并提出基于时域二端口模型和分布矩阵的气网动态仿真算法.算例结果表明,所提出的方法具有高效率和高精度两大优势,适合于气-电耦合的综合能源系统的较长时间仿真.
Dynamic Simulation Algorithm of Integrated Energy System Natural Gas Network Based on Time-domain Two-port Model
To realize the multi-gradient utilization of energy and reduce environmental pollution,the integrated energy system(IES)coupling with electricity and natural gas generally occupies a significant part of the global energy structure.To clarify the operation characteristics of the system and fully tap the dispatching potential of the energy sub-network,the dynamic simulation researches of the integrated energy system are gradually deepened.In the natural gas network,the pipeline transmission process has a profound impact on its dynamic process.However,the existing pipeline transmission process time-domain simulation algorithms have a dilemma of accuracy and efficiency.To handle the above problems,a dynamic simulation algorithm of integrated energy system gas network based on time-domain two-port model is proposed.First,based on the characteristic method,the source-load node relationship matrix of the gas network is constructed,and the time-domain two-port model is further given.Then,referring to the numerical format of the characteristic method,the spatial distribution matrixes of the state quantity are constructed to obtain the state quantity distribution of the gas network,and a dynamic simulation algorithm of the gas network based on the time-domain two-port model and distribution matrixes is proposed.The numerical results show that the proposed method has two advantages of high efficiency and high accuracy,and it is suitable for the long-term simulation of the integrated energy system with gas-electric coupling.
integrated energy system(IES)natural gas networkcharacteristics methodtime-domain two-port modelspatial distribution matrixes