中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects

文献类型:期刊论文

作者Zhaojian Wang; Wei Wei; John Zhen Fu Pang; Feng Liu; Bo Yang; Xinping Guan; Shengwei Mei
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:4页码:839-858
ISSN号2329-9266
关键词Feedback optimization Lyapunov optimization online convex optimization online optimization optimization-guided control
DOI10.1109/JAS.2023.123126
英文摘要Traditionally, offline optimization of power systems is acceptable due to the largely predictable loads and reliable generation. The increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain, and have redirected attention to online optimization methods. However, online optimization is a broad topic that can be applied in and motivated by different settings, operated on different time scales, and built on different theoretical foundations. This paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques used. In particular, we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain, i.e., optimization-guided dynamic control, feedback optimization for single-period problems, Lyapunov-based optimization, and online convex optimization techniques for multi-period problems. Lastly, we recommend some potential future directions for online optimization in the power systems domain.
源URL[http://ir.ia.ac.cn/handle/173211/51445]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Zhaojian Wang,Wei Wei,John Zhen Fu Pang,et al. Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(4):839-858.
APA Zhaojian Wang.,Wei Wei.,John Zhen Fu Pang.,Feng Liu.,Bo Yang.,...&Shengwei Mei.(2023).Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects.IEEE/CAA Journal of Automatica Sinica,10(4),839-858.
MLA Zhaojian Wang,et al."Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects".IEEE/CAA Journal of Automatica Sinica 10.4(2023):839-858.

入库方式: OAI收割

来源:自动化研究所

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