Journal article
Automated system for determining frequency dependent parameter model of transmission line in a laboratory environment
Measurement : journal of the International Measurement Confederation, v 92
Oct 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
•We developed an automated system for determining frequency dependent impedance parameters.•The specific application presented in the article is for a power transmission line in a laboratory environment.•The system automatically evaluates parameters and provides a statistical evaluation of the results.•The methodology and apparatus of this work is applicable to any device that can be parameterized via I–V characteristic.
This work presents an automated system for determining transmission line model parameters at various frequencies. The system was developed and implemented on General Electric test reactors designed to model power transmission line behavior in a laboratory environment. The measurement system and data processing are controlled and automated via custom developed LabVIEW software. Measurements are obtained from voltage and current probes interfacing with oscilloscopes. This data is then acquired and processed in LabVIEW software. The structure of the transmission line model, desired confidence level and number of tests to conduct are specified user inputs. The system subsequently provides the transmission line impedance parameters based on these specifications. These parameters are calculated using both time domain and frequency domain techniques. While this work focuses on determining transmission line model parameters, this automated test measurement system is applicable to any device that can be parameterized via a current–voltage (I–V) characteristic or frequency response.
Metrics
Details
- Title
- Automated system for determining frequency dependent parameter model of transmission line in a laboratory environment
- Creators
- Aaron St. Leger - Department of Electrical Engineering and Computer Science, United States Military Academy, West Point, NY, USAValentina Cecchi - University of North Carolina at CharlotteMegha Basu - Siemens (Germany)Karen Miu - Drexel UniversityChika Nwankpa - Drexel University
- Publication Details
- Measurement : journal of the International Measurement Confederation, v 92
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000380736700001
- Scopus ID
- 2-s2.0-84973621428
- Other Identifier
- 991019319094704721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Engineering, Multidisciplinary
- Instruments & Instrumentation