Dynamic Modeling and Analysis for Electricity-Gas Systems With Electric-Driven Compressors

被引:0
作者
Huang, Yujia [1 ]
Sun, Qiuye [1 ,2 ]
Chen, Zhe [3 ]
Gao, David Wenzhong [4 ]
Pedersen, Torben Bach [5 ]
Larsen, Kim Guldstrand [5 ]
Li, Yushuai [5 ]
机构
[1] Shenyang Univ Technol, Sch Elect Engn, Shenyang 110870, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Peoples R China
[3] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[4] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80208 USA
[5] Aalborg Univ, Dept Comp Sci, DK-9220 Aalborg, Denmark
基金
中国国家自然科学基金;
关键词
Analytical models; Mathematical models; Compressors; Pipelines; Computational modeling; Numerical models; Accuracy; Transfer functions; Laplace equations; Power system dynamics; Integrated electricity-gas system; electric compressor; dynamic analysis; transfer function; reduced order; OPTIMAL ENERGY-FLOW; NATURAL-GAS; INTEGRATED ELECTRICITY; TRANSIENT FLOW; SIMULATION; POWER; NETWORKS;
D O I
10.1109/TSG.2025.3527221
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The dynamic gas flow model with static electric-driven compressor (EDC) model has been widely studied in coordinated analysis of integrated electricity-gas system (IEGS). However, as a crucial coupling unit, the boost characteristics of the EDC change dynamically with gas state, which may lead to unstable operation mode and then affect safe operating of IEGS. Meanwhile, its nonlinear model greatly increases the difficulty of analysis. This paper proposes a reduced-order transfer function model that considers EDCs for an accurate and efficient dynamic analysis of the IEGS. Firstly, a general two-port model in the Laplace-domain is derived to jointly analyze the pipeline and EDCs dynamic characteristics. The model based on transfer function, explicitly gives the relation between the pressures and flows state at ports. On this basis, to concisely analyze state variations of crucial nodes, the multiple cascaded pipelines and compressors are aggregated and to form an equivalent model. Meanwhile, to reduce the computational burden of the high-order Laplacian "s" in the aggregated process, a reduced-order method is developed based on Jordan continued-fraction expansion by preserving the main gas dynamic feature. Then the analytical expression of state fluctuation can be conveniently derived to analyze the underlying impact and interaction between power system and gas system. Finally, case studies are conducted to prove the effectiveness of proposed model and reduction method.
引用
收藏
页码:2144 / 2155
页数:12
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