Title: Research on power regulation service data transmission path optimisation method

Authors: Lei Yan; Zhengshang Yan; Zhifang He; Xiuli Zhang; Xincong Shi; Ting Wang; Zijuan Zhao

Addresses: State Grid Shanxi Electric Power Company, Beijing, Shanxi, China ' State Grid Shanxi Electric Power Company, Beijing, Shanxi, China ' State Grid Shanxi Electric Power Company, Beijing, Shanxi, China ' State Grid Shanxi Electric Power Company, Beijing, Shanxi, China ' State Grid Shanxi Electric Power Company, Beijing, Shanxi, China ' State Grid Shanxi Electric Power Research Institute, Beijing, Shanxi, China ' College of Information and Computer, Taiyuan University of Technology, Taiyuan, Shanxi, China

Abstract: Owing to the large amount of transmission data and transmission paths between equipment and applications in the power grid control centre, it is easy to cause problems such as packet loss and incomplete data transmission. An improved Apriori algorithm is proposed to mine multi-dimensional data association rules when multiple service devices are running in parallel, then optimise the discontinuous data path transmission based on the ant colony algorithm. The ant colony migration probability is used to calculate the pheromone concentration value of the ant on the discontinuous data path in a fixed period, plan the ant travel path, use the direction factor to adjust the discontinuous data transmission path appropriately, determine the optimal path, and realise the mining optimisation. Simulation results show that the proposed method can effectively improve the convergence speed of discontinuous data transmission, reduce the delay time of the data transmission network, and ensure the integrity of data transmission.

Keywords: power dispatch data centre; cloud computing; Apriori algorithm; association rules; route optimisation.

DOI: 10.1504/IJWMC.2020.10034697

International Journal of Wireless and Mobile Computing, 2020 Vol.19 No.4, pp.330 - 339

Received: 07 May 2020
Accepted: 20 Aug 2020
Published online: 20 Jan 2021 *

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