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微型宽频交流电场传感器设计及其电场无失真测量评价OA北大核心CSTPCD

Design of Micro-Broadband AC Electric Field Sensor and Evaluation of Electric Field Distortion-Free Measurement

中文摘要英文摘要

电场信息是新型电力系统状态智能感知、信息深度融合的基础.电场测量需兼顾无失真、微型宽频、强稳定性、易集成等众多性能需求.针对新型电力系统数字化发展需求,对地线侵入造成的电场测量误差来源进行分析,提出了微型宽频交流电场传感器设计方案和电场无失真测量方法,开展了无失真电场传感器设计,并与微机电系统(microelectro mechanical systems,MEMS)和光学电场传感器进行了无失真测量效果对比.结果表明MEMS电场传感器向上偏移间隙中心2 cm时电场测量误差为13.2%,光学电场传感器的电场测量误差在3%左右.无失真电场传感器的测量误差均在2%左右,且不随传感器的偏移距离而增大或减小,实现了地线干扰的隔离效果,且电场无失真程度优于光学电场传感器.

Electric field information is the foundation of intelligent perception and deep integration of information in the new power system.Electric field measurement needs to take into account many performance requirements such as no distortion,micro-broad eband,strong stability and easy integration.In response to the demand for digital development of the new power system,the sources of electric field measurement errors caused by ground wire intrusion are analyzed.A micro-broadband AC electric field sensor design scheme and an electric field distortion-free measurement method are proposed.The design of a distortion-free electric field sensor is carried out,and the distortion-free measurement effect is compared with microelectro mechanical systems(MEMS)and optical electric field sensors.The results show that when the MEMS electric field sensor is offset 2 cm upwards from the center of the gap,the electric field measurement error is 13.2%,and the electric field measurement error of the optical electric field sensor is about 3%.The measurement error of the undistorted electric field sensor is around 2%,and it does not increase or decrease with the offset distance of the sensor,achieving the isolation effect of ground wire interference,and the degree of undistorted electric field is better than that of optical electric field sensors.

高吉普;吴世林;张缘圆;刘新霆;辛明勇;胡军

贵州电网有限责任公司电力科学研究院,贵阳 550002清华大学电机系,北京 100084

动力与电气工程

微型宽频电场测量传感器无失真测量

micro-broadbandelectric field measurementsensordistortion-free measurement

《南方电网技术》 2024 (005)

31-38 / 8

国家自然科学基金资助项目(52125703,52307177);贵州电网有限责任公司科技项目(0666002022030103XT00014). Supported by the National Natural Science Foundation of China(52125703,52307177);the Science and Technology Project of Guizhou Power Grid Co.,Ltd.(0666002022030103XT00014).

10.13648/j.cnki.issn1674-0629.2024.05.004

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