Full Text:   <374>

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CLC number: TP13

On-line Access: 2021-01-11

Received: 2020-04-30

Revision Accepted: 2020-07-17

Crosschecked: 2020-08-19

Cited: 0

Clicked: 675

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Guanghui Wen

https://orcid.org/0000-0003-0070-8597

Xinghuo Yu

https://orcid.org/0000-0001-8093-9787

Zhiwei Liu

https://orcid.org/0000-0003-3005-1792

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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.1 P.25-39

http://doi.org/10.1631/FITEE.2000205


Recent progress on the study of distributed economic dispatch in smart grid: an overview


Author(s):  Guanghui Wen, Xinghuo Yu, Zhiwei Liu

Affiliation(s):  School of Mathematics, Southeast University, Nanjing 211189, China; more

Corresponding email(s):   wenguanghui@gmail.com, x.yu@rmit.edu.au, zwliu@hust.edu.cn

Key Words:  Distributed economic dispatch, Distributed optimization, Smart grid, Continuous-time optimization algorithm, Discrete-time optimization algorithm


Guanghui Wen, Xinghuo Yu, Zhiwei Liu. Recent progress on the study of distributed economic dispatch in smart grid: an overview[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 25-39.

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pages="25-39",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000205"
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Abstract: 
Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG) in the presence of multiple generators plays a paramount role in obtaining various benefits of a new generation power system, such as easy implementation, low maintenance cost, high energy efficiency, and strong robustness against uncertainties. It has drawn a lot of interest from a wide variety of scientific disciplines, including power engineering, control theory, and applied mathematics. We present a state-of-the-art review of some theoretical advances toward DED in the SG, with a focus on the literature published since 2015. We systematically review the recent results on this topic and subsequently categorize them into distributed discrete- and continuous-time economic dispatches of the SG in the presence of multiple generators. After reviewing the literature, we briefly present some future research directions in DED for the SG, including the distributed security economic dispatch of the SG, distributed fast economic dispatch in the SG with practical constraints, efficient initialization-free DED in the SG, DED in the SG in the presence of smart energy storage batteries and flexible loads, and DED in the SG with artificial intelligence technologies.

智能电网中分布式经济调度研究进展:综述


温广辉1,余星火2,刘智伟3
1东南大学数学学院,中国南京市,211189
2皇家墨尔本理工大学工程学院,澳大利亚墨尔本,VIC3000
3华中科技大学人工智能与自动化学院,中国武汉市,430074

摘要:设计一种高效的分布式经济调度策略对具有多台发电机的智能电网具有重要意义,将使得新一代电力系统获取多种益处,如易于实施、低维护成本、高能源效率、对各种不确定性的强鲁棒性。因此,该领域吸引了来自电力工程、控制理论、应用数学等不同学科的广泛研究兴趣。本文综述智能电网分布式经济调度的理论研究最新进展,重点关注2015年以来发表的文献。系统回顾该主题的最新研究结果,并将其分为分布式离散时间和分布式连续时间经济调度算法两类。在回顾相关文献的基础上,简要介绍未来研究方向,包括智能电网的分布式安全经济调度、具有实际约束的分布式快速经济调度、高效无初值分布式经济调度、具有智能储能电池和灵活负载的分布式经济调度以及结合人工智能技术的分布式经济调度。

关键词:分布式经济调度;分布式优化;智能电网;连续时间优化算法;离散优化算法

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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