Quantification of flexibility in natural gas systems based on limited information measurements

Huang Huang and Anan Zhang

Energy, 2025, vol. 333, issue C

Abstract: Natural gas systems (NGS) offer the necessary flexibility to mitigate the impact of high renewable energy source (RES) penetration on electric power systems (EPS). However, privacy concerns among independent energy system operators hinder accurate flexibility quantification. To address this challenge, this study develops a multivariate regression-based equivalent NGS model using limited-information measurements. The model incorporates quasi-steady-state network representations and considers non-pipeline components. The resulting equivalent model is coupled with EPS data to analyze subsystem interactions and quantify the flexibility potential of the NGS. Based on this framework, RES data are integrated to determine the maximum allowable RES penetration and the optimal wind–solar ratio for the distribution system. Finally, case studies validate the accuracy and effectiveness of the proposed method, providing practical guidance for RES planning in distribution networks.

Keywords: Equivalent model; Flexibility quantification; Multiple linear regression; Limited information (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:333:y:2025:i:c:s0360544225030294

DOI: 10.1016/j.energy.2025.137387

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