摘要
现有的基于UHF的局部放电定位技术主要是基于时延来进行定位,为获得精确的时延需要非常高的采样率,由此带来了昂贵的硬件开销,极大地限制了其推广应用。为此提出了基于接收信号强度（RSSI）指纹的局部放电定位方法,该方法具有RSSI技术的低硬件成本及易实现性的特点,又具有指纹定位法对复杂空间环境很好的适应性。在离线阶段建立RSSI指纹图库包括测量方案、数据处理方法等,在线阶段应用综合粒子群算法和BP神经网络的PSO-BP定位算法对局部放电进行精确定位。在现场测试中使用模拟的局部放电信号对该定位方法进行了测试。试验结果表明,其平均定位误差为0.484 m,88%的定位误差〈1 m,定位方差也较小,从而验证了该定位方法的精确性和稳定性。
Currently available UHF partial discharge（PD） localization technology is mainly based on the time delay algorithm. To obtain an accurate time delay between each channel of PD pulse requires a very high sampling rate, thus expensive hardware costs are needed and it is hard to achieve wide application. We proposed an RSSI-fingerprinting-based PD localization methodology, which possesses the advantages of low hardware cost and easy fulfillment in RSSI and features of being well adaptive to complex space environment of fingerprinting. The proposed method includes two stages： the RSSI fingerprinting setup during offline stage and the online PD localization by particle swarm optimization（PSO） based BP neural network（PSO-BP）. The field tests show that the mean error of PD localization by the proposed method is 0.484 m, and 87% of errors are less than 1 m while the corresponding variance is small, verifying the accuracy and stability of proposed novel PD localization method.
作者
李臻
罗林根
陈敬德
盛戈皞
徐鹏
江秀臣
LI Zhen;LUO Lingen;CHEN Jingde;SHENG Gehao;XU Peng;JIANG Xiuchen(Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;Electric Power Research Institute of Shanghai Power Grid Corporation, Shanghai 200093, China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2018年第6期2033-2039,共7页
High Voltage Engineering
基金
国家重点研发计划(2017YFB0902705)
国家电网公司科技项目:基于特高频无线传感技术的变电站局放在线监测和定位关键技术研究~~
关键词
局部放电
定位算法
接收信号强度
指纹定位
神经网络
PSO-BP定位算法
partial discharge
localization algorithm
received signal strength indicator
fingerprint location
neural net-works
PSO-BP
作者简介
李臻1992-，男，硕士研究方向为电力系统状态监测E-mail：lizhenl0161830@163．com;罗林根（通信作者）1982-，男，助理研究员研究方向为智能电网、电力系统状态监测等E-mail：Ug523@sjtu．edu．cn
