摘要
随着太阳能光伏应用规模的不断扩大,实时地对光伏阵列进行状态监控故障诊断与定位变得越来越重要。提出了一种新的光伏阵列传感器嵌入方法,在保证故障定位精度的基础上减少了传感器的使用量。利用模糊群体决策理论对系统所获取的数据进行综合处理,解决了诊断中各检测量之间的一致性和决策问题。实验结果证明:提出的光伏阵列故障诊断与定位方法有较强的抗干扰能力,提高了诊断的准确性和可靠性。
As scale of solar photovohaic application continues to expand, real-time state monitoring, fault diagnosis and fault positioning for photovohaic （PV） array are becoming more and more important. A new kind of PV array sensor embedding method is put forward to reduce usage of sensors on the basis of assure positioning precision. With the structure the consistency and strategic decision problems among the measurement data in diagnosis is solved using fuzzy group decision theory. Experimental result verifies the proposed fault diagnosis and positioning method for PV array has strong ability of anti-interference and increases accuracy and reliability of diagnosis.
出处
《传感器与微系统》
CSCD
北大核心
2013年第7期26-28,共3页
Transducer and Microsystem Technologies
基金
国家"973"基础研究项目(2009CB219700)
天津市重点科技支撑计划资助项目(09ZCGYGX01100)
天津市太阳能光电建筑应用示范项目(2011E1-002)
关键词
光伏阵列
传感器嵌入方式
故障定位
故障诊断
群体决策
photovoltaic（PV） array
sensor embedding method
fault positioning
fault diagnosis
group decision
