Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach
Zhikai Huang, Shuai Lu, Wei Gu, Ruizhi Yu, Suhan Zhang, Yijun Xu, Yuan, Li

TL;DR
This paper introduces a novel semi-analytical, non-iterative algorithm based on differential transformation for dynamic energy flow simulation in integrated electricity and gas systems, enhancing accuracy and efficiency.
Contribution
It presents a new semi-analytical approach that overcomes computational challenges of nonlinear gas dynamics in integrated systems, improving simulation performance.
Findings
The method achieves high accuracy in DEF simulation.
It significantly reduces computational time.
The approach effectively handles nonlinearity and coupling issues.
Abstract
Ensuring the safe and reliable operation of integrated electricity and gas systems (IEGS) requires dynamic energy flow (DEF) simulation tools that achieve high accuracy and computational efficiency. However, the inherent strong nonlinearity of gas dynamics and its bidirectional coupling with power grids impose significant challenges on conventional numerical algorithms, particularly in computational efficiency and accuracy. Considering this, we propose a novel non-iterative semi-analytical algorithm based on differential transformation (DT) for DEF simulation of IEGS. First, we introduce a semi-discrete difference method to convert the partial differential algebraic equations of the DEF model into ordinary differential algebraic equations to resort to the DT. Particularly, by employing spatial central difference and numerical boundary extrapolation, we effectively avoid the singularity…
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Taxonomy
TopicsIntegrated Energy Systems Optimization · Optimal Power Flow Distribution · Smart Grid Security and Resilience
