基于能耗均衡的智能变电站无线传感网分簇路由策略研究

张炜; 田洪迅; 孙杨; 解晓东; 李昂

张炜,田洪迅,孙杨,解晓东,李昂.基于能耗均衡的智能变电站无线传感网分簇路由策略研究[J].电测与仪表,2025,62(11):176-181.
ZHANG Wei,TIAN Hongxun,SUN Yang,XIE Xiaodong,LI Ang.Research on clustering routing strategy for wireless sensor networks in intelligent substation based on energy balance[J].Electrical Measurement & Instrumentation,2025,62(11):176-181.

基于能耗均衡的智能变电站无线传感网分簇路由策略研究

Research on clustering routing strategy for wireless sensor networks in intelligent substation based on energy balance

DOI：10.19753/j.issn1001-1390.2025.11.020

中文关键词: 智能变电站综合防误系统无线传感器网络蚁群算法遗传算法

英文关键词:intelligent substation, integrated error prevention system, wireless sensor network, ant colony optimization algorithm, genetic algorithm

基金项目:国家电网有限公司总部科技项目资助（5200-202140365A）

作者中文名	作者英文名	单位
张炜	ZHANG Wei	中国电力科学研究院，北京 100192
田洪迅	TIAN Hongxun	中国电力科学研究院, 北京 100192
孙杨	SUN Yang	中国电力科学研究院, 北京 100192
解晓东	XIE Xiaodong	中国电力科学研究院 , 北京 100192
李昂	LI Ang	中国电力科学研究院, 北京 100192

摘要点击次数: 18

中文摘要:

针对目前智能变电站综合防误系统无线传感器网络分簇路由策略存在的网络能耗高和寿命短等问题，提出将改进蚁群算法和改进遗传算法相结合用于无线传感器网络分簇路由策略。通过改进（高斯分布函数、精英选择策略、单点交叉、变异操作等）遗传算法来优化簇位置并降低通信能耗，通过改进（传输概率和信息素更新等）蚁群算法来寻找各簇头节点的传输路径。通过仿真对网络中存活节点数、剩余能量和接收数据进行了对比分析。结果表明，与一些文献的方法相比，所提方法可以有效均衡网络中的能耗。在网络中的存活节点数、剩余能量、接收数据包三个方面均有一定的提升，网络存活节点数分别提高了75%和20%，剩余能量分别提高了23.06%和2.12%，接收数据能力分别提高了39.17%和14.24%,具有一定的应用价值。

英文摘要:

In response to the current issues of high network energy consumption and short lifespan in the wireless sensor network clustering routing strategy of the intelligent substation comprehensive error prevention system, this paper proposes a combination of improved ant colony algorithm and improved genetic algorithm for clustering routing strategy in wireless sensor networks. By improving (Gaussian distribution function, elite selection strategy, single point crossover, mutation operation, etc.) genetic algorithm to optimize cluster position and reduce communication energy consumption, and by improving (transmission probability and pheromone update, etc.) ant colony algorithm to find the transmission path of each cluster head node. Comparative analysis is conducted on the number of surviving nodes, remaining energy, and received data in the network through simulation. The results indicate that compared with the methods in some references, the proposed method can effectively balance the energy consumption in the network. In terms of the number of surviving nodes, remaining energy, and receiving data packets in the network, there has been a certain improvement. The number of surviving nodes in the network has increased by 75% and 20%, the remaining energy has increased by 23.06% and 2.12%, and the data receiving ability has increased by 39.17% and 14.24%, respectively, which has certain application value.

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