Research on Deployment Scheme and Routing Optimization Algorithm of Distribution Cable Condition Monitoring Devices

Jun Wu, Mingzhen Li (), Chao Gao, Zehui Liu, Bo Zhang and Xinsong Zhang ()
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Jun Wu: School of Electrical Engineering, Nantong University, No. 9, Seyuan Road, Nantong 226019, China
Mingzhen Li: School of Electrical Engineering, Nantong University, No. 9, Seyuan Road, Nantong 226019, China
Chao Gao: State Grid Henan Electric Power Corporation Electric Power Research Institute, No. 85, Songshan South Road, Zhengzhou 450052, China
Zehui Liu: State Grid Henan Electric Power Corporation Electric Power Research Institute, No. 85, Songshan South Road, Zhengzhou 450052, China
Bo Zhang: State Grid Henan Electric Power Corporation Electric Power Research Institute, No. 85, Songshan South Road, Zhengzhou 450052, China
Xinsong Zhang: School of Electrical Engineering, Nantong University, No. 9, Seyuan Road, Nantong 226019, China

Energies, 2023, vol. 16, issue 19, 1-18

Abstract: In order to achieve more effective online monitoring of distribution cables, a deployment scheme of the distribution cable condition monitoring devices based on a wireless sensor network (WSN) has been proposed. The proposed deployment scheme can improve the coverage rate and extend the lifetime of the sensor network. Moreover, the clustering method, node density, and node deployment method of the wireless sensor routing algorithm are improved, and based on isosceles triangle non-uniform deployment, a routing optimization algorithm has been proposed to achieve the balance of the energy consumption of each node in the network. Firstly, according to the energy consumption model of the network, the energy consumption of each cluster is calculated, and then by taking the minimum energy consumption of data transmission between clusters as the constraint condition, the optimal clustering distance of the network is solved. Then, according to the scale of network nodes, the density of routing nodes in each cluster is calculated, and the routing nodes in the cluster are deployed by an isosceles triangle. Finally, according to the cluster head election formula, the routing cluster head nodes in each cluster are selected, and the network data information is transmitted to the base station in a multi-hop manner through the routing cluster head nodes. The simulation results indicated that, compared with the traditional routing optimization algorithms, the proposed algorithm could keep the routing coverage at more than 200% all the time, and can effectively balance the energy consumption of nodes, improve the energy utilization efficiency of the routing nodes, and at least extend the lifetime of the network by two times. Moreover, the longer the cables, the more cost savings and the better the life cycle optimization effect of the proposed scheme. In addition, the proposed scheme can greatly reduce the economic cost of network investment, compared with using the demodulator to obtain monitoring data.

Keywords: distribution cable; condition monitoring devices; deployment scheme; routing optimization algorithm; coverage rate; life cycle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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