Bayesian-inference-based voltage dip state estimation

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Abstract

Voltage dip state estimation (VDSE) tries to estimate the voltage dip characteristics at nonmonitored buses from measured voltage dip values at monitored buses. In this paper, the VDSE is addressed through the method based on Bayesian inference. A priori including the fault position among other grid conditions is used to estimate the residual voltage at each bus based on the measurement quantities, including their uncertainties. The dip duration is calculated with the time setting of protection system incorporating the uncertainties due to dip detection algorithm of the root mean square values. The proposed method has been applied to the IEEE 13-bus and IEEE 123-bus distribution test systems for multiple simulation scenarios, such as with or without distributed generation and different types of faults. The simulation results show good observability of the network.
Original languageEnglish
Pages (from-to)2977-2987
Number of pages11
JournalIEEE Transactions on Instrumentation and Measurement
Volume66
Issue number11
DOIs
Publication statusPublished - 25 Oct 2017

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state estimation
State estimation
inference
Electric potential
electric potential
mean square values
Observability
Distributed power generation
estimates
simulation
grids

Cite this

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title = "Bayesian-inference-based voltage dip state estimation",
abstract = "Voltage dip state estimation (VDSE) tries to estimate the voltage dip characteristics at nonmonitored buses from measured voltage dip values at monitored buses. In this paper, the VDSE is addressed through the method based on Bayesian inference. A priori including the fault position among other grid conditions is used to estimate the residual voltage at each bus based on the measurement quantities, including their uncertainties. The dip duration is calculated with the time setting of protection system incorporating the uncertainties due to dip detection algorithm of the root mean square values. The proposed method has been applied to the IEEE 13-bus and IEEE 123-bus distribution test systems for multiple simulation scenarios, such as with or without distributed generation and different types of faults. The simulation results show good observability of the network.",
author = "G. Ye and Y. Xiang and M. Nijhuis and V. Cuk and J.F.G. Cobben",
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Bayesian-inference-based voltage dip state estimation. / Ye, G.; Xiang, Y.; Nijhuis, M.; Cuk, V.; Cobben, J.F.G.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 66, No. 11, 25.10.2017, p. 2977-2987.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Bayesian-inference-based voltage dip state estimation

AU - Ye, G.

AU - Xiang, Y.

AU - Nijhuis, M.

AU - Cuk, V.

AU - Cobben, J.F.G.

PY - 2017/10/25

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AB - Voltage dip state estimation (VDSE) tries to estimate the voltage dip characteristics at nonmonitored buses from measured voltage dip values at monitored buses. In this paper, the VDSE is addressed through the method based on Bayesian inference. A priori including the fault position among other grid conditions is used to estimate the residual voltage at each bus based on the measurement quantities, including their uncertainties. The dip duration is calculated with the time setting of protection system incorporating the uncertainties due to dip detection algorithm of the root mean square values. The proposed method has been applied to the IEEE 13-bus and IEEE 123-bus distribution test systems for multiple simulation scenarios, such as with or without distributed generation and different types of faults. The simulation results show good observability of the network.

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