基于遗传粒子群算法的输电线路非接触电压测量测点寻优与反演计算  

Non-contact Voltage Measurement Point Optimization and Inversion Calculation of Transmission Line Based on Genetic Particle Swarm Algorithm

作　　者：杨家全 张旭东 周寒英 周年荣 汪金刚[2] YANG Jia-quan;ZHANG Xu-dong;ZHOU Han-ying;ZHOU Nian-rong;WANG Jin-gang(Electric Power Research Institute of Yunnan Power Grid Co.,Ltd.,Kunming 650000,China;College of Electrical Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]云南电网有限责任公司电力科学研究院,昆明650000 [2]重庆大学电气工程学院,重庆400044

出　　处：《科学技术与工程》2024年第19期8135-8141,共7页Science Technology and Engineering

基　　金：云南电网有限责任公司科技项目(YNKJXM20210199);重庆市自然科学基金面上项目(cstc2021jcyj-msxmX1037)。

摘　　要：电压非接触测量对新型电力系统的输电线路智能化、数字化,实时表征线路健康状况具有重要意义。目前非接触电压测量中存在测点位置不好确定、计算精度不高及受环境噪声影响大等问题,严重制约了非接触电压测量方法的工程应用。在此,提出了一种融合遗传算法和粒子群算法的输电线路传感器测点寻优以及电压反演计算方法。首先,为降低电磁干扰对非接触测量的影响,根据电场耦合测量原理,以观测矩阵条件数为适应度函数,对电场传感器观测点寻优;其次,以线下电场强度理论与实测差值为目标函数,应用遗传粒子群算法进行反演电压计算;最后,在搭建的三相试验平台下进行测试。结果表明,在施加10%的电磁噪声下,电压测量误差小于5%,电压逆计算结果受到的环境噪声干扰减小了12.9%。Non-contact voltage measurement is of great significance for intelligent and digital transmission lines of new power systems and real-time characterization of line health.At present,there are problems in non-contact voltage measurement,such as poor determination of measurement point position,low calculation accuracy and great influence by environmental noise,which seriously restricts the engineering application of non-contact voltage measurement methods.A measurement point optimization and voltage inversion calculation method for transmission line sensors combining genetic algorithm and particle swarm algorithm was proposed.Firstly,in order to reduce the influence of electromagnetic interference on non-contact measurement,according to the principle of electric field coupling measurement,the number of observation matrix conditions was taken as the fitness function,and the observation point of the electric field sensor was optimized.Secondly,taking the difference between the offline electric field strength theory and the measured value as the objective function,the genetic particle swarm algorithm was used to calculate the inversion voltage.Finally,the test was carried out under the three-phase test platform built.The results show that under the application of 10%electromagnetic noise,the voltage measurement error is less than 5%,and the environmental noise interference of the voltage inverse calculation result is reduced by 12.9%.

关 键 词：非接触测量 位置寻优 遗传粒子群 电压反演 

分 类 号：TM930[电气工程—电力电子与电力传动]