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A MEMS-Based Electric Field Sensor for Measurement of High-Voltage DC Synthetic Fields in Air
- Source :
- IEEE Sensors Journal. 17:7866-7876
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Measurement of the electric fields of high-voltage direct-current (HVDC) transmission lines is essential for safety and reliability of power systems. However, air breakdown and corona discharge at the vicinity of HVDC lines create ion flows that induce a charging effect to measurement equipment, causing significant measurement errors. This paper reports an MEMS-based sensor to measure the HVDC fields coupled with ion flows. It consists of two identical chambers and two MEMS electric field sensors that are placed at different levels in the chambers. The chambers use a shielding metal to prevent ion flows from accumulating on the MEMS sensors inside, and thus the electric fields inside the chambers can be measured by the MEMS sensors. The relation between the electric fields inside and outside the chambers is established, and the HVDC fields coupled with ion flows are obtained by using the relation and the measured fields inside the chambers. The design, fabrication, assembly, and test of the MEMS-based sensor are given in detail. The measurement results show that the sensor is able to measure HVDC electric fields coupled with ion flows.
- Subjects :
- Microelectromechanical systems
Engineering
Fabrication
business.industry
020209 energy
Acoustics
020208 electrical & electronic engineering
Electrical engineering
High voltage
02 engineering and technology
Electric power system
Electric power transmission
Electric field
Electromagnetic shielding
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Instrumentation
Corona discharge
Subjects
Details
- ISSN :
- 23799153 and 1530437X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- IEEE Sensors Journal
- Accession number :
- edsair.doi...........ea6fab12be384f6b93b8ce355319625c
- Full Text :
- https://doi.org/10.1109/jsen.2017.2762327