| Title |
A Study on the Estimation of Distribution Network Topology Based on a Sliding Window Algorithm |
| Authors |
박종일(Jong-Il Park) ; 오세승(Sea-Seung Oh) ; 박창현(Chang-Hyun Park) |
| DOI |
https://doi.org/10.5370/KIEE.2021.70.11.1655 |
| Keywords |
Distribution system; Network topology estimation; Parameter estimation; Pearson's correlation coefficient; Sliding window algorithm |
| Abstract |
This paper presents a method for estimating distribution network topology based on a sliding window algorithm. As the grid connection of renewable energy sources increases, accurate network topology and line parameters have become very important information for precise system control and management in distribution systems. However, unlike the high-voltage system, the low-voltage distribution system has limited information on system parameters and topology. In this paper, a novel method to estimate network topology and line parameters using measurement data from smart meters such as AMI is proposed. The method determines network topology according to the change rate of the estimated line parameters for sequential data windows. The case study results demonstrate that the proposed topology estimation method outperforms existing methods based on Pearson's correlation coefficient. |