Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects

doi:10.1109/JAS.2023.123126

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects
	Zhaojian Wang; Wei Wei; John Zhen Fu Pang; Feng Liu; Bo Yang; Xinping Guan; Shengwei Mei
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2023
卷号	10 期号:4 页码:839-858
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.
关键词	Feedback optimization Lyapunov optimization online convex optimization online optimization optimization-guided control
DOI	10.1109/JAS.2023.123126
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51445
专题	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.

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