摘要
针对国家泛在电力物联网建设需求,提出一种基于无源射频识别(radio frequency identification,RFID)RFID传感标签和思维进化算法(mind evolutionary computation,MEC)的MOA在线监测技术。文中首先提出一种无源RFID传感标签设计方案,进而分析了RFID传感标签电路设计。然后建立MOA等效模型,利用MEC较好的寻优能力,求解等效模型中反应MOA老化情况的参数即k、c值,从而实现对MOA老化状态的在线监测。测试结果表明文中所设计的RFID传感标签可工作于无源状态,最小灵敏度约为-17 dBm,对应在2 W的阅读器功率下传感标签最大工作距离为10.5 m;所提出的MOA在线监测算法可模拟实际测量电流值,在加入谐波电压的影响下,求解的k、c值最大误差分别为0.01%和0.02%。
In view of the requirement of ubiquitous power Internet of things construction in China,a kind of MOA online monitoring technology based on radio frequency identification(RFID in short)sensor label and mind evolutionary algorithm(MEC in short)is proposed. In this paper,a kind of passive RFID sensor label design scheme is proposed firstly. Then,the RFID sensor label circuit design is analyzed. After that,the MOA equivalent model is set up,the parameters k and c that reflect the aging of MOA in the model are solved by using the better optimization ability of MEC so to achieve the on-line monitoring of the aging condition of the MOA. The test results show that the RFID sensor label,which is designed in this paper,can work at passive state,the minimum sensitivity is approximately-17 dBm and the maximum working distance of the sensor label,which is corresponding to the reader power at 2 W,is 10.5 m. The online monitoring algorithm of MOA proposed in this paper can simulate the actually measured current and,under the influence of the added harmonic voltage,the maximum error of the solved k and c values is 0.01% and 0.02%,respectively.
作者
邹建章
邓芳明
曾晗
胡京
ZOU Jianzhang;DENG Fangming;ZENG Han;HU Jing(Institute of Electric Power Science,State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330096,China;School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China)
出处
《高压电器》
CAS
CSCD
北大核心
2021年第12期162-169,176,共9页
High Voltage Apparatus
基金
国网江西省电力有限公司科技项目(521820170017)
国家自然科学基金(51767006,51867010)
江西省重点研发计划(20181BBE50019,20181BBE50009)。
关键词
金属氧化物避雷器
射频识别
传感标签
思维进化
metal oxide arrester
radio frequency identification
sensor label
mind evolution computation
