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A Staged Event Source Location Identification Scheme in Power Distribution Networks Under Extremely Low Observability
Xi Zhang1, Jianyong Zheng1,2, Fei Mei3
1School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China.
This study introduces a novel staged event source location identification (ESLI) scheme using voltage measurement deviation (VMD) for power distribution networks (PDNs). The method achieves precise fault location and current calculation even with minimal sensor deployment.
Area of Science:
- Electrical Engineering
- Power Systems Analysis
Background:
- Synchrophasor measurement technologies offer enhanced visibility in power distribution networks (PDNs).
- High costs of measurement devices limit system observability and event source location identification (ESLI) accuracy.
- Existing ESLI methods face challenges under low-observability conditions.
Purpose of the Study:
- To propose a cost-effective staged ESLI scheme for PDNs with extremely low observability.
- To achieve high-precision ESLI and event current calculations with minimal measurement devices.
- To develop a voltage measurement deviation (VMD)-based algorithm for accurate event source localization.
Main Methods:
- A staged ESLI scheme based on voltage measurement deviation (VMD) is proposed.
- An ESLI model using virtual event current injection (VCI) is constructed to derive terminal bus voltage and outgoing current.
- A VMD-based staged ESLI algorithm is developed for ordered and accurate event source searching.
Main Results:
- The proposed VMD-based staged ESLI scheme achieves high-precision ESLI and event current solving.
- The method demonstrates effectiveness under extremely low-observability conditions.
- Experimental results on the IEEE 33-bus test system show significant performance improvement over state-of-the-art methods.
Conclusions:
- The developed VMD-based staged ESLI algorithm provides a highly accurate and cost-effective solution for event source location identification in PDNs.
- The scheme is particularly effective in scenarios with limited sensor deployment.
- This approach significantly enhances the capabilities of PDNs in managing and responding to events.
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