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Energy Transition | Open Access

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

Suhan Zhang1Chi Yung Chung1( )Wei Gu2Ruizhi Yu2Shuai Lu2Pengfei Zhao3
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China
School of Electrical and Electronic Engineering, Southeast University, Nanjing 210000, China
Institute of Automation, Chinese Academy of Sciences, Beijing 100000, China
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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 IEGS’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.

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CSEE Journal of Power and Energy Systems
Pages 607-611

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Cite this article:
Zhang S, Chung CY, Gu W, et al. Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-free Method. CSEE Journal of Power and Energy Systems, 2025, 11(2): 607-611. https://doi.org/10.17775/CSEEJPES.2024.04140

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Received: 04 June 2024
Revised: 17 August 2024
Accepted: 24 September 2024
Published: 25 January 2025
© 2024 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).