Hidden Convexity-Based Distributed Operation of Integrated Electricity-Gas Systems

被引：0

作者：

Liu, Rong-Peng ^{[1
]}

Song, Yue ^{[2
,3
]}

Liu, Junhong ^{[4
]}

Wang, Xiaozhe ^{[1
]}

Guo, Jinpeng ^{[5
]}

Hou, Yunhe ^{[4
]}

机构：

[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 0E9, Canada

[2] Tongji Univ, Dept Control Sci & Engn, Natl Key Lab Autonomous Intelligent Unmanned Syst, Shanghai 201804, Peoples R China

[3] Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai 201804, Peoples R China

[4] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China

[5] Hohai Univ, Dept Elect & Power Engn, Nanjing 211100, Peoples R China

来源：

IEEE CONTROL SYSTEMS LETTERS | 2024年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Pipelines; Mathematical models; Costs; Vectors; Power transmission lines; Generators; Convergence; Distributed control; energy systems; optimal energy flow; quadratic programming; semi-definite programming; POWER;

D O I：

10.1109/LCSYS.2024.3427988

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter proposes a hidden convexity-based 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 subproblems 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.

引用

页码：2051 / 2056

页数：6

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