### Abstract

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

Journal | I E E E Transactions on Industrial Informatics |

Volume | 12 |

Issue number | 2 |

Pages (from-to) | 726-735 |

ISSN | 1551-3203 |

DOIs | |

Publication status | Published - 2016 |

### Keywords

- Grid topology
- Measurement uncertainty
- Monitoring
- Parameter estimation
- Parameter uncertainty
- Smart grids (SGs)
- State estimation (SE)

### Cite this

*I E E E Transactions on Industrial Informatics*,

*12*(2), 726-735. https://doi.org/10.1109/TII.2016.2530620

}

*I E E E Transactions on Industrial Informatics*, vol. 12, no. 2, pp. 726-735. https://doi.org/10.1109/TII.2016.2530620

**Distribution Line Parameter Estimation Under Consideration of Measurement Tolerances.** / Prostejovsky, Alexander; Gehrke, Oliver; Kosek, Anna Magdalena; Strasser, Thomas; Bindner, Henrik W.

Research output: Contribution to journal › Journal article › Research › peer-review

TY - JOUR

T1 - Distribution Line Parameter Estimation Under Consideration of Measurement Tolerances

AU - Prostejovsky, Alexander

AU - Gehrke, Oliver

AU - Kosek, Anna Magdalena

AU - Strasser, Thomas

AU - Bindner, Henrik W.

PY - 2016

Y1 - 2016

N2 - State estimation and control approaches in electric distribution grids rely on precise electric models that may be inaccurate. This work presents a novel method of estimating distribution line parameters using only root mean square voltage and power measurements under consideration of measurement tolerances, noise, and asynchronous timestamps. A measurement tolerance compensation model and an alternative representation of the power flow equations without voltage phase angles are introduced. The line parameters are obtained using numeric methods. The simulation demonstrates in case of the series conductance that the absolute compensated error is −1.05% and −1.07% for both representations, as opposed to the expected uncompensated error of −79.68%. Identification of a laboratory distribution line using real measurement data grid yields a deviation of 6.75% and 4.00%, respectively, from a calculation based on the manufacturer’s cable specifications and estimated line length. The transformed power flow equations deliver similar results despite the reduced problem complexity.

AB - State estimation and control approaches in electric distribution grids rely on precise electric models that may be inaccurate. This work presents a novel method of estimating distribution line parameters using only root mean square voltage and power measurements under consideration of measurement tolerances, noise, and asynchronous timestamps. A measurement tolerance compensation model and an alternative representation of the power flow equations without voltage phase angles are introduced. The line parameters are obtained using numeric methods. The simulation demonstrates in case of the series conductance that the absolute compensated error is −1.05% and −1.07% for both representations, as opposed to the expected uncompensated error of −79.68%. Identification of a laboratory distribution line using real measurement data grid yields a deviation of 6.75% and 4.00%, respectively, from a calculation based on the manufacturer’s cable specifications and estimated line length. The transformed power flow equations deliver similar results despite the reduced problem complexity.

KW - Grid topology

KW - Measurement uncertainty

KW - Monitoring

KW - Parameter estimation

KW - Parameter uncertainty

KW - Smart grids (SGs)

KW - State estimation (SE)

U2 - 10.1109/TII.2016.2530620

DO - 10.1109/TII.2016.2530620

M3 - Journal article

VL - 12

SP - 726

EP - 735

JO - I E E E Transactions on Industrial Informatics

JF - I E E E Transactions on Industrial Informatics

SN - 1551-3203

IS - 2

ER -