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Towards Distributed OPF using ALADIN | |
2019-01 | |
发表期刊 | IEEE TRANSACTIONS ON POWER SYSTEMS |
ISSN | 0885-8950 |
卷号 | 34期号:1页码:584-594 |
发表状态 | 已发表 |
DOI | 10.1109/TPWRS.2018.2867682 |
摘要 | The present paper discusses the application of the recently proposed Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) method to non-convex AC Optimal Power Flow Problems (OPF) in a distributed fashion. In contrast to the often used Alternating Direction of Multipliers Method (ADMM), ALADIN guarantees locally quadratic convergence for AC-OPF. Numerical results for 5–300 bus test cases indicate that ALADIN is able to outperform ADMM and to reduce the number of iterations by about one order of magnitude. We compare ALADIN to numerical results for ADMM documented in the literature. The improved convergence speed comes at the cost of increasing the communication effort per iteration. Therefore, we propose a variant of ALADIN that uses inexact Hessians to reduce communication. Additionally, we provide a detailed comparison of these ALADIN variants to ADMM from an algorithmic and communication perspective. Moreover, we prove that ALADIN converges locally at quadratic rate even for the relevant case of suboptimally solved local NLPs. |
关键词 | Distributed optimization optimal power flow (OPF) augmented Lagrangian alternating direction inexact Newton (ALADIN) alternating direction of multipliers method (ADMM) |
URL | 查看原文 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
资助项目 | ShanghaiTech University[F-0203-14-012] |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000454252800054 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS关键词 | ALTERNATING DIRECTION METHOD ; PART I ; POWER ; DECOMPOSITION ; OPTIMIZATION ; ALGORITHM |
原始文献类型 | Article |
来源库 | IEEE |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29711 |
专题 | 信息科学与技术学院_博士生 信息科学与技术学院_PI研究组_Boris Houska组 |
作者单位 | 1.Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China |
推荐引用方式 GB/T 7714 | Alexander Engelmann,Yuning Jiang,Tillmann Mühlpfordt,et al. Towards Distributed OPF using ALADIN[J]. IEEE TRANSACTIONS ON POWER SYSTEMS,2019,34(1):584-594. |
APA | Alexander Engelmann,Yuning Jiang,Tillmann Mühlpfordt,Boris Houska,&Timm Faulwasser.(2019).Towards Distributed OPF using ALADIN.IEEE TRANSACTIONS ON POWER SYSTEMS,34(1),584-594. |
MLA | Alexander Engelmann,et al."Towards Distributed OPF using ALADIN".IEEE TRANSACTIONS ON POWER SYSTEMS 34.1(2019):584-594. |
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