摘要
为减少分布式光伏发电系统监控网络中传感器节点的能耗,延长网络的使用寿命,针对监控网络节点常因能量耗尽而失效的特点,在充分考虑光伏发电系统的功率输出特点、光照强度和环境温度日变化规律以及监控网络中信息传输拓扑结构的基础上,从动态调整监控网络节点的采样周期和使节点在休眠、唤醒状态之间进行合理转换两个方面考虑,提出传感器节点动态采样周期的最小深度休眠调度机制。首先利用曲线拟合的方法,确定在典型天气条件下,传感器节点在一天中不同时段的动态采样周期;然后根据所构建的监控网络的拓扑结构,对位于网络中不同深度的传感器节点采用最小深度休眠调度机制;最后根据监控网络的运行特点和节点的能耗模型,对网络的运行能耗和使用寿命进行仿真模拟。仿真结果表明:传感器节点动态采样周期的最小深度休眠调度机制可有效减少节点能耗,延长分布式光伏发电系统监控网络的使用寿命。
Aiming at failure of monitoring network nodes because of the energy depletion, in order to reduce the energy consumption of the monitoring network sensor nodes of distributed PV system to prolong its lifetime, considering the power output characteristics of the PV generation system, the variation of solar radiation and ambient temperature and the topology structure of the information transmission in monitoring network, also considering the adjusting dynamically the sampling period of the monitoring network nodes and reasonable conversion of sensor nodes between the state of sleep and awake, a minimum depth sleeping scheduling mechanism of dynamical sampling period for sensor nodes was proposed. Firstly, the curve fitting method was used to determine the dynamic sampling periods of the sensor nodes at different times of a day under typical weather conditions. Then the minimum depth sleeping scheduling mechanism was used for sensor nodes located at different depths in the monitoring network according to constructed topology structure of the monitoring network. Finally, the simulation of operating energy consumption and lifetime of the monitoring network was carried out based on the operating characteristics of monitoring network and node＇ s energy consumption model. The simulation results show that the minimum depth sleeping scheduling mechanism of dynamic sampling period can effectively reduce the nodes＇ energy consumption, prolong the lifetime of the monitoring network of distributed PV systems.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2016年第4期853-860,共8页
Acta Energiae Solaris Sinica
基金
国家自然科学基金青年项目(51307044)
江苏省自然科学基金青年项目(BK2012409)
