Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method

Suhan Zhang; Chi Yung Chung; Wei Gu; Ruizhi Yu; Shuai Lu; Pengfei Zhao

doi:10.17775/CSEEJPES.2024.04140

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Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method

Energy Transition | 更新时间：2026-02-06

- Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method
- Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第2期页码：607-611
- 作者机构：
  
  1. Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University,Hong Kong,China
  2. School of Electrical and Electronic Engineering, Southeast University,Nanjing,China
  3. Institute of Automation, Chinese Academy of Sciences,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2024.04140
  中图分类号：
- 纸质出版：2025
- 稿件说明：
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Suhan Zhang, Chi Yung Chung, Wei Gu, 等. Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(2):607-611.

Suhan Zhang, Chi Yung Chung, Wei Gu, et al. Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 607-611.
Suhan Zhang, Chi Yung Chung, Wei Gu, 等. Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(2):607-611. DOI： 10.17775/CSEEJPES.2024.04140.

Suhan Zhang, Chi Yung Chung, Wei Gu, et al. Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 607-611. DOI： 10.17775/CSEEJPES.2024.04140.

摘要

Abstract

Though an accurate discretization approach for gas flow dynamics

the method of characteristics (MOC) is liable to instability for inappropriate step sizes. This letter addresses the numerical stability limitation of MOC

in the context of lEGS's optimal scheduling. Specifically

the proposed method enables flexible temporal step sizes without sacrificing accuracy

significantly reducing non-convergence due to numerical oscillations. The effectiveness of the proposed method is validated through case studies in different simulation settings.

关键词

Keywords

references

12. S. H. Zhang. ( 2024, Feb. ). System data and load settings of stability constraint-free method. [Online]. Available: https://www.researchgate.net/publication/378106184_System_data_and_Ioad_settings_of_stability_constraint-free_method

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