Post-contingency coordinated corrective control of electricity–gas interconnected systems based on adaptive orthogonal collocation
In multi-area electricity–gas interconnected systems, a disturbance in one system may trigger cascading failures between the coupling systems without efficient online coordination to alleviate overloads in power lines or over-limit pressure in pipelines. This paper focuses on post-contingency coordinated corrective control, formulated as a decentralized security-constrained optimal energy flow (D-SCOEF) problem to minimize the total control cost. The heterogeneous energy flow is modeled by integrating steady-state power flow with partial-differential-equation (PDE)-based transient gas flow. To enhance computational efficiency, a space–time orthogonal collocation (OC) method is employed to approximate the PDE-based transient gas flow. Recognizing the critical influence of the number of OC points on numerical accuracy, an adaptive OC (AOC) method is proposed. Furthermore, a decentralized solving framework leveraging the auxiliary problem principle (APP) is introduced. By incorporating the iterative process of the AOC method into the APP-based D-SCOEF coordination, this framework not only ensures computational efficiency but also safeguards the data privacy of independent system operators. Case studies on a single pipeline segment validate the proposed AOC method’s computational efficiency and accuracy compared to existing approaches. Benchmark systems, including the IEEE 118-bus electricity network and 20-node gas systems, further demonstrate the solving framework’s performance and the effectiveness of the derived control strategies. • The AOC enhances the accuracy of gas transient modeling under corrective control. • A multi-area D-SCOEF framework based on APP optimizes corrective control. • Integrating the AOC, the D-SCOPF boosts efficiency, accuracy, and data privacy.
Authors
- Hui Du (ORCID: https://orcid.org/0000-0003-0595-5837)
- Zhengyang Lin (ORCID: https://orcid.org/0000-0002-9237-1380)
- Chen Li (ORCID: https://orcid.org/0000-0002-7629-2711)
- Jun Li (ORCID: https://orcid.org/0000-0002-5978-2049)
- Tao Lin (ORCID: https://orcid.org/0000-0001-9721-5363)
- Xiaoning Zhang (ORCID: https://orcid.org/0000-0001-6578-9346)
Institutions
- North China Electric Power University (CN)
- Wuhan University (CN)
Publication Details
- Journal
- International Journal of Electrical Power & Energy Systems
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1016/j.ijepes.2025.111127
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00