Abstract
This paper presents a novel methodology for automated testing of fault locator algorithms and testing their output sensitivity. The proposed methodology is based on Quasi Monte Carlo technique implemented in SIMLAB. The proposed methodology interfaces among SIMLAB, MATLAB and EMTP/ATP programs. A case study with a number of simulated fault locations along a transmission line is presented in the paper. For each fault location we were varying parameters of fault resistance and pre-fault power flow on the line. In order to measure sensitivity of fault locator output to fault resistance and power flow, a large number of cases with varying fault resistance and power flow were generated using Sobol sampling technique. Two types of fault locator algorithms, Reactance algorithm and Takagi algorithm, are tested. Results obtained and presented in this paper indicate performance of each algorithm.
| Original language | English |
|---|---|
| Title of host publication | AUPEC'09 - 19th Australasian Universities Power Engineering Conference |
| Subtitle of host publication | Sustainable Energy Technologies and Systems |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 19th Australasian Universities Power Engineering Conference: Sustainable Energy Technologies and Systems, AUPEC'09 - Adelaide, Australia Duration: 27 Sept 2009 → 30 Sept 2009 |
Publication series
| Name | AUPEC'09 - 19th Australasian Universities Power Engineering Conference: Sustainable Energy Technologies and Systems |
|---|
Conference
| Conference | 19th Australasian Universities Power Engineering Conference: Sustainable Energy Technologies and Systems, AUPEC'09 |
|---|---|
| Country/Territory | Australia |
| City | Adelaide |
| Period | 27.09.2009 → 30.09.2009 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Alternative transient program (ATP)
- Distance relays
- Fault locator
- Global sensitivity analysis
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