Journal article
Distribution Line Parameter Estimation Under Consideration of Measurement Tolerances
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Energy System Management, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Department of Informatics and Mathematical Modeling, Technical University of Denmark4
Risø National Laboratory for Sustainable Energy, Technical University of Denmark5
Austrian Institute of Technology6
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2016 |
| Pages: | 726-735 |
| ISSN: | 15513203 and 19410050 |
| Types: | Journal article |
| DOI: | 10.1109/TII.2016.2530620 |
| ORCIDs: | Prostejovsky, Alexander , Gehrke, Oliver , Kosek, Anna Magdalena and Bindner, Henrik W. |
Grid topology Measurement uncertainty Monitoring Parameter estimation Parameter uncertainty SDG 7 - Affordable and Clean Energy Smart grids (SGs) State estimation (SE)
Estimation Grid Topology Mathematical model Parameter Uncertainty Phasor measurement units Power measurement Voltage measurement asynchronous timestamps distribution line parameter estimation electric distribution grids laboratory distribution line load flow measurement tolerance compensation model measurement tolerances measurement uncertainty monitoring parameter estimation parameter uncertainty power distribution power flow equations power grids power measurement power measurements root mean square voltage smart grids (SGs) state estimation state estimation (SE) transformed power flow equations
