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Design and development of a wireless sensor network time synchronization system for photovoltaic module monitoring
International Journal of Distributed Sensor Networks ( IF 1.9 ) Pub Date : 2020-05-01 , DOI: 10.1177/1550147720927341
Xianbo Sun 1, 2 , Yixin Su 1 , Yong Huang 2 , Jianjun Tan 2 , Jinqiao Yi 2 , Tao Hu 2 , Li Zhu 2
Affiliation  

Since the working situation of photovoltaic modules cannot be tracked in the real time and defective components cannot be located and controlled specifically, a remote monitoring system of photovoltaic modules based on wireless sensor networks is designed to improve the management efficiency of photovoltaic power plants. The monitoring data (current, voltage, and illumination, etc.) of photovoltaic modules are collected by the wireless sensor network nodes in real time, and then, there are orderly transmitted to the coordinator and server by the ZigBee communication protocol with the time synchronization algorithm. Time synchronization algorithm based on Gaussian delay model performs best in synchronization accuracy and energy-efficient reference broadcast synchronization algorithm is the most advantageous in synchronization energy consumption. Adaptive energy–efficient reference broadcasting synchronization algorithm is proposed with a balance between energy consumption and accuracy, which is applicable to large networks and thus conducive to the application of wireless sensor network in large-scale photovoltaic module monitoring. With the analysis and processing of the received data, the situation of the photovoltaic modules can be accordingly judged and thus the information management of photovoltaic power plant can be realized. For a photovoltaic power plant with a total power output of 100 kW and with 400 photovoltaic modules, experimental results show that the overall efficiency of the photovoltaic power plant can be increased by a wide margin.

中文翻译:

一种用于光伏组件监控的无线传感器网络时间同步系统的设计与开发

针对光伏组件的工作情况无法实时跟踪,缺陷组件无法定位和针对性控制的问题,设计了一种基于无线传感器网络的光伏组件远程监控系统,以提高光伏电站的管理效率。光伏组件的监测数据(电流、电压、照度等)由无线传感器网络节点实时采集,然后通过ZigBee通信协议,时间同步,有序传输给协调器和服务器算法。基于高斯延迟模型的时间同步算法在同步精度上表现最好,而节能的参考广播同步算法在同步能耗上最有优势。提出了一种能耗与精度平衡的自适应节能参考广播同步算法,适用于大型网络,有利于无线传感器网络在大规模光伏组件监控中的应用。通过对接收到的数据进行分析处理,可以据此判断光伏组件的状况,从而实现光伏电站的信息化管理。对于总输出功率为100kW、光伏组件400个的光伏电站,实验结果表明,光伏电站的整体效率可以大幅度提高。适用于大型网络,有利于无线传感器网络在大规模光伏组件监控中的应用。通过对接收到的数据进行分析处理,可以据此判断光伏组件的状况,从而实现光伏电站的信息化管理。对于总输出功率为100kW、光伏组件400个的光伏电站,实验结果表明,光伏电站的整体效率可以大幅度提高。适用于大型网络,有利于无线传感器网络在大规模光伏组件监控中的应用。通过对接收到的数据进行分析处理,可以据此判断光伏组件的状况,从而实现光伏电站的信息化管理。对于总输出功率为100kW、光伏组件400个的光伏电站,实验结果表明,光伏电站的整体效率可以大幅度提高。可以据此判断光伏组件的状况,从而实现光伏电站的信息化管理。对于总输出功率为100kW、光伏组件400个的光伏电站,实验结果表明,光伏电站的整体效率可以大幅度提高。可以据此判断光伏组件的状况,从而实现光伏电站的信息化管理。对于总输出功率为100kW、光伏组件400个的光伏电站,实验结果表明,光伏电站的整体效率可以大幅度提高。
更新日期:2020-05-01
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