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Measurement of Transient Overvoltages by Capacitive Electric Field Sensors
Felipe L Probst1, Michael Beltle1, Stefan Tenbohlen1
1Institute of Power Transmission and High Voltage Technology (IEH), University of Stuttgart, 70569 Stuttgart, Germany.
Accurate measurement of electromagnetic transients is crucial for power grids with renewable energy. A capacitive electric field sensor system and the coupling capacitance compensation (CCC) method offer a more suitable approach for transient overvoltage measurements.
Area of Science:
- Electrical Engineering
- Power Systems
Background:
- Increasing integration of renewable energy sources necessitates advanced measurement techniques for electromagnetic transients.
- Power electronics in renewable energy systems introduce novel transient phenomena.
- Broadband response measurement devices are essential for capturing fast transients.
Purpose of the Study:
- To present a capacitive electric field sensor-based system for measuring transient overvoltages in high-voltage substations.
- To validate the system's design and concept through laboratory testing.
- To compare two calibration techniques for transient overvoltage measurements.
Main Methods:
- Development and presentation of a capacitive electric field sensor measurement system.
- Validation of the system through high-voltage laboratory tests.
- Evaluation of two calibration methods: Simplified Method (SM) and Coupling Capacitance Compensation (CCC).
Main Results:
- The capacitive electric field sensor system was validated in a high-voltage laboratory.
- The Simplified Method (SM) was found to overestimate maximum overvoltages.
- The Coupling Capacitance Compensation (CCC) method proved more suitable for calibrating transient overvoltage measurements.
Conclusions:
- The presented capacitive electric field sensor system is a validated, efficient, and flexible solution for monitoring transient overvoltages.
- The CCC method is recommended over the SM for accurate calibration of transient overvoltage measurements.
- The system supports the reliable integration of renewable energy sources by enabling precise transient analysis.
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