### Abstract

This paper presents a new method to identify the location of the voltage sag source using the multivariable regression model and the regression coefficients at all buses in a distribution system. If a fault occurs in a bus, the voltage of unmonitored buses is estimated by using the proposed model and the voltage deviation is calculated using the voltage magnitude before and after the fault. Then the maximum voltage deviation is selected to calculate the standard deviation from the maximum voltage deviations. The bus with minimum standard deviation is considered as the location of the voltage sag source. To demonstrate the applicability of the method, the IEEE 30 bus test system is used to identify the accurate location of voltage sag source. The branch current deviation model is considered to verify the accuracy of the multivariable regression model. The results showed that the multivariable regression model gives better accuracy than the branch current deviation model in locating the source of voltage sag.

Original language | English |
---|---|

Pages (from-to) | 1853-1861 |

Number of pages | 9 |

Journal | International Review of Electrical Engineering |

Volume | 6 |

Issue number | 4 |

Publication status | Published - Jul 2011 |

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### Keywords

- Current deviation
- Multivariable regression
- Standard deviation
- Voltage deviation
- Voltage sag

### ASJC Scopus subject areas

- Electrical and Electronic Engineering

### Cite this

*International Review of Electrical Engineering*,

*6*(4), 1853-1861.

**Tracking the voltage sag source location using multivariable regression model.** / Kazemi, A.; Mohamed, Azah; Shareef, H.

Research output: Contribution to journal › Article

*International Review of Electrical Engineering*, vol. 6, no. 4, pp. 1853-1861.

}

TY - JOUR

T1 - Tracking the voltage sag source location using multivariable regression model

AU - Kazemi, A.

AU - Mohamed, Azah

AU - Shareef, H.

PY - 2011/7

Y1 - 2011/7

N2 - This paper presents a new method to identify the location of the voltage sag source using the multivariable regression model and the regression coefficients at all buses in a distribution system. If a fault occurs in a bus, the voltage of unmonitored buses is estimated by using the proposed model and the voltage deviation is calculated using the voltage magnitude before and after the fault. Then the maximum voltage deviation is selected to calculate the standard deviation from the maximum voltage deviations. The bus with minimum standard deviation is considered as the location of the voltage sag source. To demonstrate the applicability of the method, the IEEE 30 bus test system is used to identify the accurate location of voltage sag source. The branch current deviation model is considered to verify the accuracy of the multivariable regression model. The results showed that the multivariable regression model gives better accuracy than the branch current deviation model in locating the source of voltage sag.

AB - This paper presents a new method to identify the location of the voltage sag source using the multivariable regression model and the regression coefficients at all buses in a distribution system. If a fault occurs in a bus, the voltage of unmonitored buses is estimated by using the proposed model and the voltage deviation is calculated using the voltage magnitude before and after the fault. Then the maximum voltage deviation is selected to calculate the standard deviation from the maximum voltage deviations. The bus with minimum standard deviation is considered as the location of the voltage sag source. To demonstrate the applicability of the method, the IEEE 30 bus test system is used to identify the accurate location of voltage sag source. The branch current deviation model is considered to verify the accuracy of the multivariable regression model. The results showed that the multivariable regression model gives better accuracy than the branch current deviation model in locating the source of voltage sag.

KW - Current deviation

KW - Multivariable regression

KW - Standard deviation

KW - Voltage deviation

KW - Voltage sag

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M3 - Article

VL - 6

SP - 1853

EP - 1861

JO - International Review of Electrical Engineering

JF - International Review of Electrical Engineering

SN - 1827-6660

IS - 4

ER -