Research on the routing planning of power communication service based on particle swarm algorithm

With the development of smart grid, the scale of power and optical communication network is increasing, and the business carrying is becoming more and more diversified. At the present stage, the shortest path algorithm is mainly used for service route planning, which leads to the problem of unbalanced service importance distribution in the power optical communication network, and the high risk of the local network. To solve this problem, this paper proposes a risk balancing routing algorithm based on particle swarm algorithm. The algorithm considers the service importance distribution, takes the overall network risk degree, network bandwidth, time delay and service channel availability as constraints, and aims to realize the risk balance of power optical communication network. The subnetwork environment is selected to verify the scheme, and the research results show that the algorithm can effectively reduce the risk degree of the power optical communication network, and provide a strong guarantee for the safe operation of the power grid.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868905
Primary Topic
Power Systems and Technologies
Type
article
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article

Research on the routing planning of power communication service based on particle swarm algorithm

Jizhao Yi, Shuyuan Wang, Ling He
Power Systems and Technologies
article

Research on the routing planning of power communication service based on particle swarm algorithm

Jizhao Yi, Shuyuan Wang, Ling He
article en

Abstract

With the development of smart grid, the scale of power and optical communication network is increasing, and the business carrying is becoming more and more diversified. At the present stage, the shortest path algorithm is mainly used for service route planning, which leads to the problem of unbalanced service importance distribution in the power optical communication network, and the high risk of the local network. To solve this problem, this paper proposes a risk balancing routing algorithm based on particle swarm algorithm. The algorithm considers the service importance distribution, takes the overall network risk degree, network bandwidth, time delay and service channel availability as constraints, and aims to realize the risk balance of power optical communication network. The subnetwork environment is selected to verify the scheme, and the research results show that the algorithm can effectively reduce the risk degree of the power optical communication network, and provide a strong guarantee for the safe operation of the power grid.

Inner Mongolia Electric Power (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Power Systems and Technologies
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