• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Wang, Kuan (Wang, Kuan.) [1] | Wu, Jun (Wu, Jun.) [2] | Zheng, Xi (Zheng, Xi.) [3] | Li, Jianhua (Li, Jianhua.) [4] | Yang, Wu (Yang, Wu.) [5] | Vasilakos, Athanasios V. (Vasilakos, Athanasios V..) [6]

Indexed by:

EI

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. © 2022 IEEE.

Keyword:

Computer architecture Edge computing Electric load dispatching Electric power system control Electric power transmission networks Quality of service Renewable energy resources Smart power grids

Community:

  • [ 1 ] [Wang, Kuan]The School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai; 200240, China
  • [ 2 ] [Wu, Jun]The Graduate School of Information, Production and Systems, Waseda University, Fukuoka; 808-0135, Japan
  • [ 3 ] [Zheng, Xi]The Intelligent Systems Research Center, Department of Computing, Macquarie University, Macquarie Park; NSW; 2109, Australia
  • [ 4 ] [Li, Jianhua]The School of Cyber Security, Shanghai Jiao Tong University, Shanghai; 200240, China
  • [ 5 ] [Yang, Wu]Haerbin Engineering University, Heilongjiang, Harbin; 150001, China
  • [ 6 ] [Vasilakos, Athanasios V.]The College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350116, China
  • [ 7 ] [Vasilakos, Athanasios V.]The Center for AI Research, University of Agder, Grimstad; 4879, Norway

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

IEEE Transactions on Cloud Computing

Year: 2023

Issue: 2

Volume: 11

Page: 1194-1203

5 . 3

JCR@2023

5 . 3 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:54/10137530
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1