Dynamic Modeling and Simulation of Integrated Electricity and Gas Systems

被引:18
|
作者
Zhang, Suhan [1 ]
Gu, Wei [1 ]
Zhang, Xiao-Ping [2 ]
Lu, Hai [3 ]
Yu, Ruizhi [1 ]
Qiu, Haifeng [4 ]
Lu, Shuai [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Univ Birmingham, Dept Elect Elect & Syst, Birmingham B15 2TT, W Midlands, England
[3] Yunnan Power Grid, Elect Power Res Inst, Kunming 650217, Yunnan, Peoples R China
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Mathematical models; Next generation networking; Computational modeling; Fluid dynamics; Convergence; Analytical models; Pipelines; Natural gas network; variable-coefficient partial differential equation; convergence; adaptive step size control; OPTIMAL ENERGY-FLOW; NATURAL-GAS; POWER; OPTIMIZATION; IMPACT;
D O I
10.1109/TSG.2022.3203485
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 simulation of the integrated electricity and gas system (IEGS) is effective for accurate operational guidance. However, the IEGS model governed by partial and ordinary differential-algebraic equations (PDAE) is challenging for analysis, because it poses heterogeneous properties, high dimensionality, and strong nonlinearity. To eliminate the nonlinear terms, this paper firstly derives the expression of average flow velocity (AFV) and reformulates the gas flow dynamics into the variable-coefficient partial differential equations (VC-PDE), whose consistency, stability, and convergence can be theoretically guaranteed. Then, a novel adaptive step size control (ASC) strategy is developed for VC-PDE solvers to improve computational efficiency and accuracy. Finally, this paper builds a framework for the simulation of IEGS considering the dynamics in the natural gas network (NGN) and coupling units, where the bidirectional interaction between the electric power system (EPS) and NGN is investigated. Case studies verify the superiority of the proposed VC-PDE solver with ASC regarding accuracy, stability, convergence, and efficiency in different systems.
引用
收藏
页码:1011 / 1026
页数:16
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