摘要
通过可靠的风电机组状态监测系统,可实时监测风电机组的运行状态,及时发现并排除风电机组的故障。首先对基于无线传感网络的风电机组状态监测系统的可靠性进行研究。为提高监测系统的可靠性,将备用无线传感器节点部署在风电机组中极易发生故障的部件上;根据马尔可夫状态转移模型建立监测系统可靠性函数;运用粒子群算法以监测系统构建成本为目标函数,在监测系统可靠性满足对风电机组的状态健康监测的要求下,优化系统备用节点数目,并对影响监测系统的可靠性因素进行分析。结果表明,增加监测系统的备用节点可有效提高监测系统的可靠性。
By using reliable monitoring system, it will realize the real time monitoring of wind turbines＇ running state, find and solve the faults in time. The reliability of the wind turbine condition monitoring system based on wireless sen- sor network （WSN） is studied in this paper. In order to improving the reliability of the system, the reserve WSN＇ s nodes are deployed on the places of the wind turbine where faults often occurred. Reliability function of the system is built by Markov. Besides, the number of redundant nodes is optimized by particle swarm optimization, under the conditions that the cost of the system as its target function and the reliability as its constraints, and then analysis factors effected the reli- ability of the system. The results show that increasing the reserve nodes can improving the reliability of the system.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2016年第3期35-41,共7页
Proceedings of the CSU-EPSA
基金
江苏省自然科学基金青年项目(BK2012409)
江苏省"六大人才高峰"资助项目(2014-XNY-008)
中国三峡新能源公司科研项目"海上风电运行维护关键技术研究"
