Optimal Planning of Communication System of CPS for Distribution Network
Joint Authors
Huang, Zhiyong
Pen, Haibo
Zhang, Yajian
Yang, Ting
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
IoT is the technical basis to realize the CPS (Cyber Physical System) for distribution networks, with which the complex system becomes more intelligent and controllable.
Because of the multihop and self-organization characteristics, the large-scale heterogeneous CPS network becomes more difficult to plan.
Using topological potential theory, one of typical big data analysis technologies, this paper proposed a novel optimal CPS planning model.
Topological potential equalization is considered as the optimization objective function in heterogeneous CPS network with the constraints of communication requirements, physical infrastructures, and network reliability.
An improved binary particle swarm optimization algorithm is proposed to solve this complex optimal problem.
Two IEEE classic examples are adopted in the simulation, and the results show that, compared with benchmark algorithms, our proposed method can provide an effective topology optimization scheme to improve the network reliability and transmitting performance.
American Psychological Association (APA)
Yang, Ting& Huang, Zhiyong& Pen, Haibo& Zhang, Yajian. 2017. Optimal Planning of Communication System of CPS for Distribution Network. Journal of Sensors،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187656
Modern Language Association (MLA)
Yang, Ting…[et al.]. Optimal Planning of Communication System of CPS for Distribution Network. Journal of Sensors No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1187656
American Medical Association (AMA)
Yang, Ting& Huang, Zhiyong& Pen, Haibo& Zhang, Yajian. Optimal Planning of Communication System of CPS for Distribution Network. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187656
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187656