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- Publisher Website: 10.1109/LCSYS.2024.3427988
- Scopus: eid_2-s2.0-85199030443
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Article: Hidden Convexity-Based Distributed Operation of Integrated Electricity-Gas Systems
| Title | Hidden Convexity-Based Distributed Operation of Integrated Electricity-Gas Systems |
|---|---|
| Authors | |
| Keywords | Convergence Costs Distributed control energy systems Generators Mathematical models optimal energy flow Pipelines Power transmission lines quadratic programming semi-definite programming Vectors |
| Issue Date | 15-Jul-2024 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Citation | IEEE Control Systems Letters, 2024, v. 8, p. 2051-2056 How to Cite? |
| Abstract | This letter proposes a hidden convexitybased method to address distributed optimal energy flow (OEF) problems for transmission-level integrated electricity-gas systems. First, we develop a node-wise decoupling method to decompose an OEF problem into multiple OEF subproblems. Then, we propose a hidden convexity-based method to equivalently reformulate nonconvex OEF sub-problems as semi-definite programs. This method differs from any approximation and convexification methods that may incur infeasible solutions. Since all OEF subproblems are originally convex or equivalently convexified, we adopt an ADMM to solve the hidden convexity-based distributed OEF problem with convergence analysis. Test results validate the effectiveness of the proposed method. |
| Persistent Identifier | http://hdl.handle.net/10722/350660 |
| ISSN | 2023 Impact Factor: 2.4 2023 SCImago Journal Rankings: 1.597 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Rong-Peng | - |
| dc.contributor.author | Song, Yue | - |
| dc.contributor.author | Liu, Junhong | - |
| dc.contributor.author | Wang, Xiaozhe | - |
| dc.contributor.author | Guo, Jinpeng | - |
| dc.contributor.author | Hou, Yunhe | - |
| dc.date.accessioned | 2024-11-01T00:30:21Z | - |
| dc.date.available | 2024-11-01T00:30:21Z | - |
| dc.date.issued | 2024-07-15 | - |
| dc.identifier.citation | IEEE Control Systems Letters, 2024, v. 8, p. 2051-2056 | - |
| dc.identifier.issn | 2475-1456 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/350660 | - |
| dc.description.abstract | This letter proposes a hidden convexitybased method to address distributed optimal energy flow (OEF) problems for transmission-level integrated electricity-gas systems. First, we develop a node-wise decoupling method to decompose an OEF problem into multiple OEF subproblems. Then, we propose a hidden convexity-based method to equivalently reformulate nonconvex OEF sub-problems as semi-definite programs. This method differs from any approximation and convexification methods that may incur infeasible solutions. Since all OEF subproblems are originally convex or equivalently convexified, we adopt an ADMM to solve the hidden convexity-based distributed OEF problem with convergence analysis. Test results validate the effectiveness of the proposed method. | - |
| dc.language | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.relation.ispartof | IEEE Control Systems Letters | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Convergence | - |
| dc.subject | Costs | - |
| dc.subject | Distributed control | - |
| dc.subject | energy systems | - |
| dc.subject | Generators | - |
| dc.subject | Mathematical models | - |
| dc.subject | optimal energy flow | - |
| dc.subject | Pipelines | - |
| dc.subject | Power transmission lines | - |
| dc.subject | quadratic programming | - |
| dc.subject | semi-definite programming | - |
| dc.subject | Vectors | - |
| dc.title | Hidden Convexity-Based Distributed Operation of Integrated Electricity-Gas Systems | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1109/LCSYS.2024.3427988 | - |
| dc.identifier.scopus | eid_2-s2.0-85199030443 | - |
| dc.identifier.volume | 8 | - |
| dc.identifier.spage | 2051 | - |
| dc.identifier.epage | 2056 | - |
| dc.identifier.eissn | 2475-1456 | - |
| dc.identifier.isi | WOS:001288448500002 | - |
| dc.identifier.issnl | 2475-1456 | - |
