TY - JOUR
T1 - Cloud-Edge Orchestrated Power Dispatching for Smart Grid With Distributed Energy Resources
AU - Wang, Kuan
AU - Wu, Jun
AU - Zheng, Xi
AU - Li, Jianhua
AU - Yang, Wu
AU - Vasilakos, Athanasios V.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2023/4/1
Y1 - 2023/4/1
N2 - 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.
AB - 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.
KW - Smart grid
KW - cloud-edge computing
KW - energy cache
KW - energy router
KW - power dispatching
UR - http://www.scopus.com/inward/record.url?scp=85133690733&partnerID=8YFLogxK
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U2 - 10.1109/TCC.2022.3185170
DO - 10.1109/TCC.2022.3185170
M3 - Article
AN - SCOPUS:85133690733
SN - 2168-7161
VL - 11
SP - 1194
EP - 1203
JO - IEEE Transactions on Cloud Computing
JF - IEEE Transactions on Cloud Computing
IS - 2
ER -