点击次数：

论文类型：论文集

论文编号：18364224

第一作者：Mingyu Yan

通讯作者：Xiaomeng AI

合写作者：Jinyu Wen,Yubin He,Yining Zhang

发表刊物：2018 IEEE Power & Energy Society General Meeting (PESGM)

收录刊物：EI

刊物所在地：美国

学科门类：工学

一级学科：电气工程

文献类型：C

页面范围：1-5

ISSN号：1944-9933

关键字：Multi-area power system, optimal transmission switching, decentralized optimization, iterative ADMM.

DOI码：10.1109/PESGM.2018.8586669

发表时间：2018-12-23

摘要：This paper proposes a decentralized strategy for the multi-area optimal transmission switching (OTS) problem. We illustrate the decentralized framework for this problem, which is able to help reduce model scale and communication burden. Each area operator (AO) governs its subsystem and decides the OTS independently. Then each AO coordinates with the adjacent areas by sharing the corresponding information. The augmented Lagrange function (ALF) is utilized to relax and decompose the primal centralized OTS problem into decentralized subproblems for each subsystem. A two-level iterative alternating direction method of multipliers (ADMM) is adopted to co-optimize these subproblems. The upper level is used to fix the binary variables, while the lower level is the standard ADMM method, which guarantees the accuracy of the relaxed subproblem. Numerical tests on a two-area 12-bus system and a modified IEEE RTS-96 system show the effectiveness of the proposed strategy and solution technique.

发布期刊链接：https://ieeexplore.ieee.org/abstract/document/8586669/authors#authors