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An Efficient p-Trail Based Protection Algorithm With Load Balance in Electric Power Communication Network

Authors: Bin Li 0031; Chao Lu 0003; Sifang Liu; Yi Sun 0007; Bing Qi; Chaoyang Zhu; Dezhi Li; +1 Authors

An Efficient p-Trail Based Protection Algorithm With Load Balance in Electric Power Communication Network

Abstract

Internet of Energy is promoting the deep integration between power grid and communication technologies, while the production, operation and service mode of the power grid are undergoing great evolutions. The expanded services need to be carried by efficient electric power communication network (EPCN). Aiming at releasing the bottleneck problem of link capacity in EPCN, we propose a pre-cross-connected trail (p-Trail)-based protection algorithm with load balance (TPLB) in this paper. First, we introduce the current statue and developing trend of EPCN and analyze traffic flow characteristics of various electric communication services. Then the protecting principles and implementing steps of the proposed TPLB algorithm are described in detail, in which an efficient load balancing algorithm is designed to groom the traffic flow. Finally, the validity and efficiency of TPLB is verified and analyzed in a real EPCN topology from a city of Jiangsu Province, China. It is demonstrated from the simulation results that compared with the existing algorithms, the proposed TPLB can further decrease the network redundancy and blocking probability, and improve the utilization of wavelength resources.

Related Organizations
Keywords

load balance, redundancy, electric power communication network, network survivability, Electrical engineering. Electronics. Nuclear engineering, p-Trail, TK1-9971

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold