Robust Decentralized Coordination of Transmission and Active Distribution Networks

被引:18
作者
Li, Peng [1 ]
Yang, Ming [1 ]
Tang, Yaohua [2 ]
Yu, Yixiao [1 ]
Li, Menglin [1 ]
机构
[1] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
[2] CR Power Energy Sci & Technol Co Ltd, Zhengzhou 450046, Peoples R China
关键词
Optimization; Generators; Convex functions; Wind power generation; Power systems; Couplings; Convergence; Allowable power exchange interval (APEI); alternating direction method of multipliers (ADMM); decentralized optimization; reserve capacity support; robust optimization; UNIT COMMITMENT; POWER; SYSTEMS; DISPATCH;
D O I
10.1109/TIA.2021.3057342
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this article, a novel robust decentralized coordination dispatch approach is presented, which can efficiently coordinate the transmission network and connected active distribution networks (ADN). The concept of allowable power exchange interval is introduced in the coordination of the integrated networks so that the transmission network can receive reserve capacity support from connected ADNs, which further exploits the flexibility in ADNs. Meanwhile, the risk of accommodating wind power has also been considered in the optimization to make a tradeoff between the operational risk and operational costs and a tradeoff between the transmission network and ADNs. Besides, the alternating direction method of multipliers is adopted to decompose the proposed centralized robust coordination dispatch model for the integrated transmission network and ADNs into several dispatch submodels. To efficiently release the computational burden, a new efficient algorithm is also developed to transform the resulting nonconvex submodels into convex linear optimization subproblems that can be optimized effectively and globally with off-the-shelf solvers. The effectiveness and efficiency of the proposed robust decentralized coordination dispatch approach was validated using two test systems.
引用
收藏
页码:1987 / 1994
页数:8
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