电力物联网建设环境下可充电无线传感器网络能效与路由优化策略

电力物联网的建设可以全方位提高电力系统各个环节信息感知的深度和广度，实时监测和掌控各环节重要设备的运行参数，提升电力系统的分析、预警、自愈及灾害防范能力；传感器件是对电力物联网各环节信息进行深度掌握最关键的环节，然而，复杂的工作环境增加了更换传感器件电池以及人工维护的难度，网络节点供能成为制约电力物联网发展的关键问题；针对此，本文根据电力物联网建设形势下智能巡检的场景特点，选择对具备较强抗电磁环境干扰能力的磁共振充电方式，设计了面向电力物联网的可充电无线传感器网络架构，研究传感器节点的能量管理策略，提出变电站智能巡检场景下可充电WSN的负载均衡路由优化算法，并通过仿真验证在可充电条件下提升无线传感器网络工作寿命的有效性，解决传感器节点能量受限的难题，从而提升传感网络的可靠性和稳定性，为电力智能巡检的开展创造有利条件。

Energy Efficiency and Route Optimization Strategy for Rechargeable Wireless Sensor Networks in Power Grid Construction Environment

The construction of the power Internet of Things can improve the depth and breadth of information perception in all aspects of the power system, monitor and control the operational parameters of important equipment in each link in real time, and improve the analysis, early warning, self-healing and disaster prevention capabilities of the power system; The most critical part of the in-depth understanding of the information in the various aspects of the power of the Internet of Things, however, the complex working environment increases the difficulty of replacing the sensor battery and manual maintenance, and the power supply of the network node becomes a key issue restricting the development of the power Internet of Things; According to the scene characteristics of intelligent inspection under the situation of power Internet construction, this paper selects the magnetic resonance charging method with strong anti-electromagnetic interference capability, designs the rechargeable wireless sensor network architecture for power Internet of Things, and studies the energy of sensor nodes. The management strategy proposes a load-balancing routing optimization algorithm for the rechargeable WSN in the substation intelligent inspection scenario, and simulates the effectiveness of improving the working life of the wireless sensor network under the chargeable condition,wireless sensor network under the chargeable condition, and solves the problem of energy limitation of the sensor node, thereby improving Sensing Network reliability and stability, create favorable conditions for the development of electric power intelligent inspection. Keywords: power Internet of Things, rechargeable wireless sensor network, substation intelligent detection, load balancing, route optimization.