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[期刊论文]

Cloud-Edge Orchestrated Power Dispatching for Smart Grid With Distributed Energy Resources

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author:

Wang, Kuan (Wang, Kuan.) [1] | Wu, Jun (Wu, Jun.) [2] | Zheng, Xi (Zheng, Xi.) [3] | Unfold

Indexed by:

EI SCIE

Abstract:

Cloud and edge computing are gradually used to achieve complex energy operation control and massive information processing in conventional power grid. Meanwhile, with the tremendous number of distributed energy resources and power equipment integrated into the smart grid enabled by cloud and edge computing, the centralized distribution network cannot realize the flexible and realtime energy supply due to the unpredictable and wide distribution of distributed energy resources, which will further deteriorate the stability of smart grid. To solve those problems, this article proposes energy centric smart grid to achieve power dispatching with the help of cloud-edge computing. Our solution uses energy caching and energy multiple addressing of the edge router to eliminate the intermittency of renewables and speed up energy response. For the stability of energy market and to encourage users to participate in power dispatching, a cloud-edge computing-driven energy cache orchestration mechanism is designed. The empirical results show that the response time is greatly reduced to meet the stringent quality of service requirement in smart grid integrated with distributed energy resources.

Keyword:

cloud-edge computing energy cache energy router power dispatching Smart grid

Community:

  • [ 1 ] [Wang, Kuan]Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
  • [ 2 ] [Wu, Jun]Waseda Univ, Grad Sch Informat Prod & Syst, Fukuoka 8080135, Japan
  • [ 3 ] [Zheng, Xi]Macquarie Univ, Dept Comp, Intelligent Syst Res Ctr, Macquarie Pk, NSW 2109, Australia
  • [ 4 ] [Li, Jianhua]Shanghai Jiao Tong Univ, Sch Cyber Secur, Shanghai 200240, Peoples R China
  • [ 5 ] [Yang, Wu]Haerbin Engn Univ, Harbin 150001, Heilongjiang, Peoples R China
  • [ 6 ] [Vasilakos, Athanasios V.]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Peoples R China
  • [ 7 ] [Vasilakos, Athanasios V.]Univ Agder, Ctr AI Res, N-4879 Grimstad, Norway

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Source :

IEEE TRANSACTIONS ON CLOUD COMPUTING

ISSN: 2168-7161

Year: 2023

Issue: 2

Volume: 11

Page: 1194-1203

5 . 3

JCR@2023

5 . 3 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:32

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

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