title: Design, experiments and simulation of voltage transformers on the basis of a differential input D-dot sensor.
abstract: Currently available traditional electromagnetic voltage sensors fail to meet the measurement requirements of the smart grid, because of low accuracy in the static and dynamic ranges and the occurrence of ferromagnetic resonance attributed to overvoltage and output short circuit. This work develops a new non-contact high-bandwidth voltage measurement system for power equipment. This system aims at the miniaturization and non-contact measurement of the smart grid. After traditional D-dot voltage probe analysis, an improved method is proposed. For the sensor to work in a self-integrating pattern, the differential input pattern is adopted for circuit design, and grounding is removed. To prove the structure design, circuit component parameters, and insulation characteristics, Ansoft Maxwell software is used for the simulation. Moreover, the new probe was tested on a 10 kV high-voltage test platform for steady-state error and transient behavior. Experimental results ascertain that the root mean square values of measured voltage are precise and that the phase error is small. The D-dot voltage sensor not only meets the requirement of high accuracy but also exhibits satisfactory transient response. This sensor can meet the intelligence, miniaturization, and convenience requirements of the smart grid.
authors.affiliation: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China. jingang@cqu.edu.cn.
authors.forename: Jingang
authors.initials: J
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China. 20121102074@cqu.edu.cn.
authors.forename: Can
authors.initials: C
authors.lastname: Gao
authors.affiliation: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China. 20131102043@cqu.edu.cn.
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
mesh_terms: D001185:Artificial Intelligence; D004553:Electric Conductivity; D060733:Electromagnetic Radiation; D004867:Equipment Design / Q000379:methods*; D008904:Miniaturization / Q000295:instrumentation; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software